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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychiatry</journal-id>
<journal-title>Frontiers in Psychiatry</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychiatry</abbrev-journal-title>
<issn pub-type="epub">1664-0640</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyt.2020.589545</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychiatry</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Factors Associated With Psychological Distress in Health-Care Workers During an Infectious Disease Outbreak: A Rapid Systematic Review of the Evidence</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Sirois</surname> <given-names>Fuschia M.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/353779/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Owens</surname> <given-names>Janine</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1140355/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Psychology, University of Sheffield</institution>, <addr-line>Sheffield</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff2"><sup>2</sup><institution>School of Clinical Dentistry, University of Sheffield</institution>, <addr-line>Sheffield</addr-line>, <country>United Kingdom</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Roger Mcintyre, University of Toronto, Canada</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Lorena Garc&#x000ED;a-Fern&#x000E1;ndez, Miguel Hern&#x000E1;ndez University of Elche, Spain; Felicity Southworth, Public Health England, United Kingdom</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Fuschia M. Sirois <email>f.sirois&#x00040;sheffield.ac.uk</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Mood and Anxiety Disorders, a section of the journal Frontiers in Psychiatry</p></fn></author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>01</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2020</year>
</pub-date>
<volume>11</volume>
<elocation-id>589545</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>07</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>12</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Sirois and Owens.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Sirois and Owens</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license> </permissions>
<abstract><p><bold>Objective:</bold> Health-care workers (HCW) are at risk for psychological distress during an infectious disease outbreak, such as the coronavirus pandemic, due to the demands of dealing with a public health emergency. This rapid systematic review examined the factors associated with psychological distress among HCW during an outbreak.</p>
<p><bold>Method:</bold> We systematically reviewed literature on the factors associated with psychological distress (demographic characteristics, occupational, social, psychological, and infection-related factors) in HCW during an outbreak (COVID-19, SARS, MERS, H1N1, H7N9, and Ebola). Four electronic databases were searched (2000 to 15 November 2020) for relevant peer-reviewed research according to a pre-registered protocol. A narrative synthesis was conducted to identify fixed, modifiable, and infection-related factors linked to distress and psychiatric morbidity.</p>
<p><bold>Results:</bold> From the 4,621 records identified, 138 with data from 143,246 HCW in 139 studies were included. All but two studies were cross-sectional. The majority of the studies were conducted during COVID-19 (<italic>k</italic> = 107, <italic>N</italic> = 34,334) and SARS (<italic>k</italic> = 21, <italic>N</italic> = 18,096). Consistent evidence indicated that being female, a nurse, experiencing stigma, maladaptive coping, having contact or risk of contact with infected patients, and experiencing quarantine, were risk factors for psychological distress among HCW. Personal and organizational social support, perceiving control, positive work attitudes, sufficient information about the outbreak and proper protection, training, and resources, were associated with less psychological distress.</p>
<p><bold>Conclusions:</bold> This review highlights the key factors to the identify HCW who are most at risk for psychological distress during an outbreak and modifying factors to reduce distress and improve resilience. Recommendations are that HCW at risk for increased distress receive early interventions and ongoing monitoring because there is evidence that HCW distress can persist for up to 3 years after an outbreak. Further research needs to track the associations of risk and resilience factors with distress over time and the extent to which certain factors are inter-related and contribute to sustained or transient distress.</p></abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>health-care workers</kwd>
<kwd>psychological distress</kwd>
<kwd>risk factors</kwd>
<kwd>resilience</kwd>
<kwd>anxiety</kwd>
<kwd>stress</kwd>
<kwd>depression</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="181"/>
<page-count count="35"/>
<word-count count="21534"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Several outbreaks of viral diseases have posed significant public health threats since 2000. These include SARS, H1N1, H7N9, MERS, EBOLA, and more recently, COVID-19 (see <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>). Such outbreaks place a serious strain on the health-care systems that try to contain and manage them, including health-care workers (HCW) who are at increased risk for nosocomial infections (<xref ref-type="bibr" rid="B1">1</xref>). In addition to the threat to their own physical health, HCW can experience psychological distress as a collateral cost of the risk of infection and the demands of dealing with a public health emergency (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Psychological distress refers to a state of emotional suffering, resulting from being exposed to a stressful event that poses a threat to one&#x00027;s physical or mental health (<xref ref-type="bibr" rid="B3">3</xref>). Inability to cope effectively with the stressor results in psychological distress that can manifest as a range of adverse mental health and psychiatric outcomes including depression, anxiety, acute stress, post-traumatic stress, burnout, and psychiatric morbidity. Although psychological distress is often viewed as a transient state that negatively impacts day-to-day and social functioning, it can persist and have longer-term negative effects on mental health (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Under normal circumstances, work-related psychological distress in HCW is associated with several short and long-term adverse outcomes. Psychological distress is linked to adverse occupational outcomes including include decreased quality of patient care (<xref ref-type="bibr" rid="B5">5</xref>), irritability with colleagues (<xref ref-type="bibr" rid="B6">6</xref>), cognitive impairments that negatively impact patient care (<xref ref-type="bibr" rid="B7">7</xref>), and intentions to leave one&#x00027;s job (<xref ref-type="bibr" rid="B8">8</xref>). HCW who experience psychological distress are also at risk of experiencing adverse personal outcomes including substance misuse (<xref ref-type="bibr" rid="B6">6</xref>), and suicide (<xref ref-type="bibr" rid="B9">9</xref>). In the context of an infectious disease outbreak, such consequences may amplify and heighten psychological distress. HCW who reported elevated levels of psychological distress during the COVID-19 outbreak also experienced sleep disturbances (<xref ref-type="bibr" rid="B10">10</xref>), poorer physical health (<xref ref-type="bibr" rid="B11">11</xref>), and a greater number of physical symptoms, including headaches (<xref ref-type="bibr" rid="B12">12</xref>). Similarly, HCW during the SARS outbreak disclosed a greater number of somatic symptoms and sleep problems (<xref ref-type="bibr" rid="B13">13</xref>), substance misuse and more days off work (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>Apart from the immediate and short-term impacts on HCW mental health, there is limited but concerning evidence, that working during an infectious outbreak can have lasting and detrimental psychological effects for HCW. In a study of HCW who worked during the SARS outbreak in China, 10 percent experienced high levels of post-traumatic stress (PTS) symptoms when surveyed 3 years later (<xref ref-type="bibr" rid="B15">15</xref>). Similarly, HCW who treated patients during the SARS outbreak in Canada reported significantly higher levels of burnout, psychological distress, and post-traumatic stress compared to HCW in other hospitals that did not treat SARS patients when surveyed 13&#x02013;26 months after the SARS outbreak (<xref ref-type="bibr" rid="B14">14</xref>). Lastly, a study of HCW in Hong Kong during the SARS outbreak found that although the levels of perceived stress did not differ between HCW who worked in high risk and low risk areas initially, 1 year later the stress of the high-risk HCW was significantly increased, and was higher than the stress reported by the low-risk HCW (<xref ref-type="bibr" rid="B16">16</xref>). This increased level of stress was also associated with higher levels of depression, anxiety, and post-traumatic stress, indicating a pervasive and sustained negative impact of working during an outbreak on mental health. These findings underscore the importance of understanding the factors that contribute to risk and resilience for psychological distress in HCW.</p>
<p>HCW serve a vital role in treating and managing infected individuals during an infectious disease outbreak such as coronavirus. There is an urgent need to understand the factors that create or heighten risk for distress for HCW and affect their immediate and long-term mental health during the COVID-19 pandemic and other similar outbreaks, as well as those that are protective and may reduce psychological distress. Such knowledge is important for identifying HCW most at risk, and informing strategies and treatments needed to support HCW resilience during and after an outbreak.</p>
<p>This rapid review synthesized the evidence on the factors associated with psychological distress among health-care workers (HCW) during an infectious disease outbreak. The review focused not only on the COVID-19 pandemic, but also on other related coronavirus and influenza outbreaks (SARS, H1N1, H7N9, MERS, and Ebola), to expand the potential evidence base and to increase the potential for the findings to be generalizable across any future infectious disease outbreaks.</p>
<p>This review also introduced a conceptual framework for understanding and classifying the factors that contributed to risk or provided resilience for psychological distress. Based on our early scan of the literature, we grouped factors into three conceptual categories: (1) fixed or unchangeable factors, (2) potentially modifiable factors, and (3) factors related to infection exposure. Fixed factors were viewed as identifying HCW who might be most vulnerable or resilient to distress and, if the former, require extra support and treatment. Socio-demographic factors and other factors related to work role and experience were included in this category. In contrast, modifiable factors were viewed as identifying potential targets for interventions to reduce risk and increase resilience. Social and psychological factors, such as social support, stigma, and psychological resources such as coping styles and personality were included in the modifiable category. Lastly, infection-related factors were those that can directly inform hospital procedures and operating policy regarding ways to address and mitigate risk. Factors related to infection exposure and risk of exposure, and the provision of training, resources, and personal protective equipment (PPE) were included in this category.</p>
<p>The key questions addressed by this review were:</p>
<list list-type="order">
<list-item><p>What are the risk factors for psychological distress among HCW during an infectious outbreak?</p></list-item>
<list-item><p>What are the factors associated with reduced risk for psychological distress among HCW during an infectious outbreak?</p></list-item>
</list>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<p>Evidence was summarized using a rapid, systematic review approach because of the urgent need to support the mental health of HCW during and after the ongoing novel coronavirus pandemic. Rapid Reviews are a form of systematic review that provide an expedient and useful means of synthesizing the available evidence during times of health crises to inform evidence-based decision making for health policy and practice (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). To accomplish this, rapid reviews take a streamlined approach to systematically reviewing evidence. Modified methods in the current review included: (1) search limited to English language studies; (2) gray literature limited to one search source; (3) no formal critical appraisal of the research.</p>
<sec>
<title>Data Sources and Searches</title>
<p>The search strategy for this pre-registered rapid review involved searching Medline, PsycInfo, Web of Science, and the first 10 pages of Google Scholar, as well as hand searching references. Search terms included a combination of terms related to health-care workers (e.g., &#x0201C;physicians,&#x0201D; &#x0201C;nurses&#x0201D;), and distress (e.g., &#x0201C;stress,&#x0201D; &#x0201C;anxiety&#x0201D;). The full search term list is available on PROSPERO (CRD42020178185). We conducted searches in a rolling manner, starting on April 6, 2020, then with updates on June 7, July 2, July 10, July 30, 2020, and November 15, 2020 to capture and integrate the most up-to-date evidence given the ongoing COVID-19 pandemic and the associated rapid release of research.</p>
</sec>
<sec>
<title>Study Selection and Data Extraction</title>
<p>We used a predefined search strategy (see full details on PROSPERO, <ext-link ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/PROSPERO/">https://www.crd.york.ac.uk/PROSPERO/</ext-link>; registration ID: CRD42020178185). Studies were included in this Review if they were empirical research; published or accepted for publication in peer-reviewed journals; written in English; included participants who were HCW who worked in a hospital environment during a major infectious outbreak (COVID19, SARS, MERS, H1N1, H7N9, Ebola); had a sample size of &#x0003E;80, and included data on factors associated with psychological distress during an outbreak. One investigator screened citations for potential full-text review, and a second investigator conducted the full-text review of each study for inclusion. Exclusions were verified by the other investigator, and disagreements resolved through discussion. Data was extracted by one investigator, entered into a table, and verified by a second investigator. For studies that included tests for multiple measures of psychological distress, we included the study as reporting a significant association with a particular factor if at least one of the measures of distress were significant.</p>
<p>Although rapid reviews do not always include a formal assessment of study quality and risk for bias (<xref ref-type="bibr" rid="B18">18</xref>), a lack of a quality assessment can have important implications for the utility of the results (<xref ref-type="bibr" rid="B17">17</xref>). Accordingly, we evaluated the methodological quality of the studies in the review using a tool adapted for the current study. The assessment tool included eleven questions chosen from the Appraisal tool for Cross Sectional Studies, AXIS (<xref ref-type="bibr" rid="B19">19</xref>) as being most relevant for the current study, an approach advocated by Quintana (<xref ref-type="bibr" rid="B20">20</xref>). Two authors independently rated the quality of the studies using the 11 questions to assess the quality of the study procedures, sampling, and the measures. The assessment yielded a total score that categorized studies as having low (&#x0003C;5), moderate (<xref ref-type="bibr" rid="B5">5</xref>&#x02013;<xref ref-type="bibr" rid="B7">7</xref>), or high (<xref ref-type="bibr" rid="B8">8</xref>&#x02013;<xref ref-type="bibr" rid="B10">10</xref>) quality. Inter-rater agreement was calculated and assessed using Cohen&#x00027;s Kappa coefficient (<xref ref-type="bibr" rid="B21">21</xref>). Discrepancies were resolved through discussion. In addition to the formal quality assessment, we only included studies that reported findings for a sample size of &#x0003E;80, which allows enough power to detect a medium effect size with an alpha of 0.05 (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>).</p>
</sec>
<sec>
<title>Data Synthesis and Analysis</title>
<p>We conceptually organized the factors in this Review identified as contributing to or mitigating psychological distress into three broad categories: (1) fixed or unchangeable factors (sociodemographic and occupational factors), (2) potentially modifiable factors (social and psychological factors), and (3) factors related to infection exposure. Evidence was synthesized according to these conceptual categories, with non-significant and contrary findings noted in addition to significant findings to provide a more complete picture of the weight of the evidence for each factor. The balance of evidence for each factor was further presented graphically. We assigned factors within each conceptual category as reflecting either risk or resilience for psychological distress according to logic and theory (e.g., maladaptive coping as risk, adaptive coping as resilience). Factors that could be interpreted as either risk or resilience (e.g., sex, age) were assigned according to how they had been framed in the majority of the research that examined these factors.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>The search yielded 4621 records, with 138 papers reporting 139 studies (Total <italic>N</italic> = 143,246 HCW) that met inclusion criteria for this Review. <xref ref-type="fig" rid="F1">Figure 1</xref> presents the complete screening process. Characteristics of the studies are in <xref ref-type="table" rid="T1">Table 1</xref>. The average sample size was 1,030 (range 82&#x02013;21,199). The studies included HCW working across 34 countries during COVID-19 (<italic>k</italic> = 107, <italic>N</italic> = 120,711), SARS (<italic>k</italic> = 21, <italic>N</italic> = 18,096), MERS (<italic>k</italic> = 7, <italic>N</italic> = 1,567), H1N1 (<italic>k</italic> = 2, <italic>N</italic> = 2,094), Ebola (<italic>k</italic> = 1, <italic>N</italic> = 143), and H7N9 (<italic>k</italic> = 1, <italic>N</italic> = 102), outbreaks. The rates of psychological distress in HCW varied depending on how distress was measured (<xref ref-type="table" rid="T1">Table 1</xref>). <xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref> provide a graphical overview of the weight of the evidence per factor.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>PRISMA flow diagram for literature screening.</p></caption>
<graphic xlink:href="fpsyt-11-589545-g0001.tif"/>
</fig>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Characteristics of the 139 studies (<italic>N</italic> = 143,246) included in the rapid review.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Study authors and year</bold></th>
<th valign="top" align="left"><bold>Country</bold></th>
<th valign="top" align="left"><bold>Study design</bold></th>
<th valign="top" align="left"><bold>Sample (% female)</bold></th>
<th valign="top" align="left"><bold>Infectious disease</bold></th>
<th valign="top" align="left"><bold>Study period</bold></th>
<th valign="top" align="left"><bold>Psychological distress measures</bold></th>
<th valign="top" align="left"><bold>Rates of distress (%)</bold></th>
<th valign="top" align="left"><bold>Risk/resilience factors tested</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Abdulah and Mohammed (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="left">Kurdistan</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">209 doctors (25.4)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">09/04/2020&#x02013;14/04/2020</td>
<td valign="top" align="left">PSS-10 to measure stress</td>
<td valign="top" align="left">21.1 (Low stress) <break/> 69.4 (Moderate stress) <break/> 9.6 (high stress)</td>
<td valign="top" align="left">Age, sex, work experience</td>
</tr>
<tr>
<td valign="top" align="left">Ahmed et al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">497 nurses (78.87)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">18/01/2020&#x02013;20/01/2020</td>
<td valign="top" align="left">K-6 to measure non-specific psychological distress</td>
<td valign="top" align="left">65.0 (moderate to severe psychological distress)</td>
<td valign="top" align="left">Social support-professional/organizational</td>
</tr>
<tr>
<td valign="top" align="left">Aksoy and Ko&#x000E7;ak (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">758 nurses and midwives (92.70)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">1/04/2020&#x02013;14/04/2020</td>
<td valign="top" align="left">STAI to measure anxiety</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Sex, exposure to confirmed infected cases.</td>
</tr>
<tr>
<td valign="top" align="left">Al Mahyijari et al. (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">Oman</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">150 doctors and nurses (77.30)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">PSS-10 to measure stress, GAD-7 to measure anxiety</td>
<td valign="top" align="left">30.0 (moderate to severe anxiety)</td>
<td valign="top" align="left">Sex, age, HCW type</td>
</tr>
<tr>
<td valign="top" align="left">Alan et al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">416 HCW (79.10)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">16/04/2020&#x02013;20/04/2020</td>
<td valign="top" align="left">DASS to measure depressive symptoms, anxiety and stress</td>
<td valign="top" align="left">17.8 (moderate depression) <break/> 16.8 (severe depression) <break/> 18.1 (extremely severe depression) <break/> 17.8 (moderate anxiety) <break/> 13.9 (severe anxiety) <break/> 22.6 (extremely severe anxiety) <break/> 19.7 (moderate stress) <break/> 16.6 (severe stress) <break/> 7.9 (extremely severe stress</td>
<td valign="top" align="left">Age, sex, marital status, HCW type, higher education level, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Arafa et al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="left">Egypt and Saudi Arabia</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">426 doctors, nurses and HCW-ancillary workers (49.8)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">14/04/2020&#x02013;24/04/ 2020</td>
<td valign="top" align="left">DASS-21 to measure stress, depressive symptoms and anxiety</td>
<td valign="top" align="left">69.0 (depression) <break/> 59.8 (anxiety) <break/> 55.9 (stress)</td>
<td valign="top" align="left">Sex, age, social support-personal, social support-professional/organizational</td>
</tr>
<tr>
<td valign="top" align="left">Arshad and Islam (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="left">Pakistan</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">431 doctors (44.78)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">Last week of March 2020</td>
<td valign="top" align="left">GAD-7 to measure anxiety</td>
<td valign="top" align="left">27.84 (mild anxiety) <break/> 23.90 (moderate anxiety) <break/> 9.74 (severe anxiety)</td>
<td valign="top" align="left">Age, Sex</td>
</tr>
<tr>
<td valign="top" align="left">Azoulay et al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">85 countries (European Society of Intensive Medicine)</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,001 HCW (34.20)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">30/04/2020&#x02013;25/5/ 2020</td>
<td valign="top" align="left">HADS to measure anxiety and depressive symptoms, MBI to measure burnout</td>
<td valign="top" align="left">46.5 (anxiety) <break/> 30.2 (depression)</td>
<td valign="top" align="left">Age, sex, marital status single vs. married</td>
</tr>
<tr>
<td valign="top" align="left">Babore et al. (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">595 HCW (80.3)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">11/04/2020&#x02013;16/04/2020</td>
<td valign="top" align="left">PSS-10 to measure stress</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Sex, marital status; married with children, social support-personal, direct contact with infected cases, adaptive and maladaptive coping style, positive work attitudes</td>
</tr>
<tr>
<td valign="top" align="left">Badahdah et al. (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">Oman</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">509 doctors and nurses (80.30)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">1st 2 weeks of April 2020</td>
<td valign="top" align="left">GAD-7 to measure anxiety, PSS-10 to measure stress</td>
<td valign="top" align="left">25.9 (moderate to severe anxiety) <break/> 56.4 (high stress)</td>
<td valign="top" align="left">Age, sex, marital status, HCW type, exposure to confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Barello et al. (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">376 doctors and nurses (73.70)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">5 weeks from the beginning of COVID-19 epidemic in Italy</td>
<td valign="top" align="left">MBI to measure burnout</td>
<td valign="top" align="left">37.0 (high emotional exhaustion)</td>
<td valign="top" align="left">Sex, HCW type</td>
</tr>
<tr>
<td valign="top" align="left">Bates et al. (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="left">UK <break/> England</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">117 doctors, nurses and allied health professionals (77.00)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">3/04/2020&#x02013;18/04/2020</td>
<td valign="top" align="left">GAD-7 to measure anxiety, PCL-5 to measure post-traumatic stress disorder</td>
<td valign="top" align="left">33.0 (anxiety) <break/> 17.0 (distress: PTSD)</td>
<td valign="top" align="left">HCW type</td>
</tr>
<tr>
<td valign="top" align="left">Bettinsoli et al. (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">580 doctors, nurses and allied health professionals (40.00)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">26/03/2020&#x02013;9/04/2020 Middle of outbreak in Italy</td>
<td valign="top" align="left">GHQ-12 to measure psychological distress</td>
<td valign="top" align="left">33.5 (psychological distress)</td>
<td valign="top" align="left">Sex, HCW type, marital status: married with children, direct contact with infected cases, perceived control, adaptive coping style</td>
</tr>
<tr>
<td valign="top" align="left">Blekas et al. (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="left">Greece</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">270 HCW (73.7)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">10/04/2020&#x02013;13/04/2020</td>
<td valign="top" align="left">PDI to measure levels of distress, PHQ-9 to measure depressive symptoms, PTSD-8 to measure post-traumatic stress disorder</td>
<td valign="top" align="left">16.7 (distress PTSD)</td>
<td valign="top" align="left">Age, sex</td>
</tr>
<tr>
<td valign="top" align="left">Bukhari et al. (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="left">Saudi Arabia</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">386 HCW (86.00)</td>
<td valign="top" align="left">MERS</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Study specific measure of worry about contracting MERS</td>
<td valign="top" align="left">33.2 (extremely or very worried)</td>
<td valign="top" align="left">Sex, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Cai et al. (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,521 HCW (75.54)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">SCL-90-R to measure psychological distress</td>
<td valign="top" align="left">14.1 (psychological distress)</td>
<td valign="top" align="left">Age, sex, marital status: married with children, HCW type, Social support-personal, less work experience, adaptive personality traits</td>
</tr>
<tr>
<td valign="top" align="left">Cai et al. (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross- sectional</td>
<td valign="top" align="left">534 HCW (68.70)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">01/2020&#x02013;03/2020</td>
<td valign="top" align="left">Study specific measure of stress</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Social support-personal</td>
</tr>
<tr>
<td valign="top" align="left">Caillet et al. (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="left">France</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">208 HCW in the ICU (75.00)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">8/04/2020&#x02013;21/04/2020 <break/> Peak of the pandemic</td>
<td valign="top" align="left">HADS to measure anxiety and depressive symptoms, IES-R to measure post-traumatic stress disorder</td>
<td valign="top" align="left">48.0 (anxiety) <break/> 16.0 (depression) <break/> 27.0 (distress; PTSD)</td>
<td valign="top" align="left">Sex, age, HCW type, risk of exposure to confirmed cases</td>
</tr>
<tr>
<td valign="top" align="left">Chan and Huak (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="left">Singapore</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">661 doctors and nurses (NR)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">05/2003 <break/> 2 months after SARS outbreak</td>
<td valign="top" align="left">IES-R, to measure post-traumatic stress disorder, GHQ-28 to measure distress</td>
<td valign="top" align="left">27.0 (distress; PTSD)</td>
<td valign="top" align="left">HCW type, marital status, social support-personal, adequate information, positive work attitude</td>
</tr>
<tr>
<td valign="top" align="left">Chatterjee et al. (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="left">India-West Bengal</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">152 doctors (21.70)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">28/03/2020&#x02013;06/04/2020</td>
<td valign="top" align="left">DASS-21 to measure depressive symptoms, stress and anxiety</td>
<td valign="top" align="left">34.9 (depression) <break/> 39.5 (anxiety) <break/> 32.9 (stress)</td>
<td valign="top" align="left">Age, sex, less work experience, at risk of being in contact with infected patients</td>
</tr>
<tr>
<td valign="top" align="left">Chen et al. (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="left">Taiwan</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">128 nurses (100.00)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">During mid-May 2003, at the peak of the SARS outbreak.</td>
<td valign="top" align="left">IES to measure PTSD, SCL-90-R to measure psychological distress</td>
<td valign="top" align="left">11.0 (distress: PTSD)</td>
<td valign="top" align="left">At risk of being in contact with infected patients</td>
</tr>
<tr>
<td valign="top" align="left">Chen et al. (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="left">Taiwan</td>
<td valign="top" align="left">Prospective</td>
<td valign="top" align="left">116 nurses (98.30)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">May 2003</td>
<td valign="top" align="left">SAS to measure anxiety, SDS to measure depressive symptoms</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Social support-personal, training for dealing with SARS provided</td>
</tr>
<tr>
<td valign="top" align="left">Chen et al. (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">902 HCW (68.63)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">9/02/2020&#x02013;11/02/2020 <break/> Peak of pandemic</td>
<td valign="top" align="left">CMBI to measure post-traumatic stress disorder, GAD-7 to measure anxiety, PHQ-9 to measure depressive symptoms</td>
<td valign="top" align="left">24.5 (moderate-severe anxiety and depression) <break/> 16.63 (moderate to severe anxiety) <break/> 18.29 (moderate to severe depression)</td>
<td valign="top" align="left">Sex, HCW type, adaptive and maladaptive coping style, adaptive personality traits</td>
</tr>
<tr>
<td valign="top" align="left">Chen et al. (<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="top" align="left">China and Taiwan</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">12,956 nurses (95.60)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">April 2020</td>
<td valign="top" align="left">MBI GS to measure extent of emotional exhaustion,</td>
<td valign="top" align="left">24.7 and 23.5 (emotional exhaustion HRW)</td>
<td valign="top" align="left">Sex, exposure to confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Chen et al. (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">171 HCW (67.83) <break/> (94 HRW [74.50], 77 LRW [59.70])</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">PCL-C to measure post-traumatic stress disorder, GAD-7 to measure anxiety, PHQ-9 to measure depressive symptoms</td>
<td valign="top" align="left">28.7 (distress; PTSD:HRW) <break/> 13.0 (distress; PTSD:LRW) <break/> 63.8 (anxiety: HRW) <break/> 45.5 (anxiety: LRW) <break/> 19.1 (moderate to severe depression: HRW) <break/> 6.5 (moderate to severe depression LRW)</td>
<td valign="top" align="left">Sex, higher education level, HCW type, direct exposure with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Chew et al. (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="top" align="left">Asia-Pacific region</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,146 HCW (65.10)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">29/04/2020&#x02013;4/06/2020</td>
<td valign="top" align="left">DASS-21 to measure stress, depressive symptoms and anxiety, IES to measure post-traumatic stress disorder</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Sex</td>
</tr>
<tr>
<td valign="top" align="left">Chong et al. (<xref ref-type="bibr" rid="B13">13</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,257 HCW (81.10)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">12/05/2003&#x02013;27/06/2003 <break/> 6 weeks during outbreak</td>
<td valign="top" align="left">IES-R to measure post-traumatic stress disorder, CHQ to measure psychiatric morbidity</td>
<td valign="top" align="left">75.3 (psychiatric morbidity)</td>
<td valign="top" align="left">Sex, marital status, HCW type, work experience, exposure to confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Civantos et al. (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="left">Brazil</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">163 doctors (25.80)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">14/05/2020&#x02013;31/05/2020</td>
<td valign="top" align="left">GAD-7 to measure anxiety, IES-R to measure post-traumatic stress disorder, PHQ-2 to measure depressive symptoms, Mini-Z to measure physician burnout</td>
<td valign="top" align="left">14.7 (emotional burnout) <break/> 19.7 (moderate-severe anxiety) <break/> 26.3 (distress; PTSD) <break/> 16.3 (depression)</td>
<td valign="top" align="left">Age, sex</td>
</tr>
<tr>
<td valign="top" align="left">Cunill et al. (<xref ref-type="bibr" rid="B50">50</xref>)</td>
<td valign="top" align="left">Spain</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,452 HCW (82.90)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">4/04/2020&#x02013;10/04/2020 <break/> Peak of pandemic</td>
<td valign="top" align="left">GAD-7 to measure anxiety, PHQ-9 to measure depressive symptoms, PHQ-15 to measure physical symptoms related to distress</td>
<td valign="top" align="left">77.10 (emotional burnout) <break/> 63.4 (distress) <break/> 88.4 (anxiety) <break/> 86.1 (depression)</td>
<td valign="top" align="left">Sex, HCW type</td>
</tr>
<tr>
<td valign="top" align="left">Demirjian et al. (<xref ref-type="bibr" rid="B51">51</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">689 doctors (47.00)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">3/04/2020&#x02013;11/04/2020 <break/> 8 days</td>
<td valign="top" align="left">Study specific measures for anxiety and stress</td>
<td valign="top" align="left">61.0 (anxiety)</td>
<td valign="top" align="left">Sex, Hospital resources/protection/training for the treatment of infection</td>
</tr>
<tr>
<td valign="top" align="left">Di Tella et al. (<xref ref-type="bibr" rid="B52">52</xref>)</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">145 doctors and nurses (72.40)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">19/03/2020&#x02013;05/04/2020</td>
<td valign="top" align="left">PCL-5 to measure PTSD, BDI-II to measure depressive symptoms, STAI to measure anxiety</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Exposure to confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Dobson et al. (<xref ref-type="bibr" rid="B53">53</xref>)</td>
<td valign="top" align="left">Australia</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">320 HCW (78.50)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">16/04/2020&#x02013;13/05/2020</td>
<td valign="top" align="left">PHQ-9 to measure depressive symptoms, GAD-7 to measure anxiety, IES-R to measure post-traumatic stress disorder, PFI to measure burnout</td>
<td valign="top" align="left">2126.2 (distress: PTSD) <break/> 31.0 (moderate-severe depression) <break/> 71.0 (anxiety) <break/> 29.0 (distress: PTSD)</td>
<td valign="top" align="left">Adaptive personality traits, less work experience, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Elbay et al. (<xref ref-type="bibr" rid="B54">54</xref>)</td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">442 HCW (56.80)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">10/03/2020&#x02013;15/03/2020</td>
<td valign="top" align="left">DASS-21 to measure depressive symptoms, stress and anxiety</td>
<td valign="top" align="left">64.7 (depression) <break/> 51.6 (anxiety) <break/> 41.2 (stress)</td>
<td valign="top" align="left">Age, sex, marital status, less work experience, social support-professional/organizational, hospital resources, protection, training, at risk of being in contact with infected patients</td>
</tr>
<tr>
<td valign="top" align="left">Elhadi et al. (<xref ref-type="bibr" rid="B55">55</xref>)</td>
<td valign="top" align="left">Libya</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">745 doctors and nurses (51.90)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">18/04/2020&#x02013;28/04/2020</td>
<td valign="top" align="left">HADS to measure anxiety and depression</td>
<td valign="top" align="left">56.3 (depression) <break/> 46.7 (anxiety)</td>
<td valign="top" align="left">Age, sex, marital status, less work experience, stigma</td>
</tr>
<tr>
<td valign="top" align="left">Elkholy et al. (<xref ref-type="bibr" rid="B56">56</xref>)</td>
<td valign="top" align="left">Egypt</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">502 HCW (50.00)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">April&#x02013;May 2020</td>
<td valign="top" align="left">GAD-7 to measure anxiety, PHQ-9 to measure depressive symptoms, PSS to measure level of perceived stress</td>
<td valign="top" align="left">76.4 (anxiety) <break/> 77.2 (depression) <break/> 80.9 (stress)</td>
<td valign="top" align="left">Sex</td>
</tr>
<tr>
<td valign="top" align="left">Erquicia et al. (<xref ref-type="bibr" rid="B57">57</xref>)</td>
<td valign="top" align="left">Spain</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">395 HCW (73.60)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">March&#x02013;April 2020</td>
<td valign="top" align="left">DASS-21 to measure stress, depressive symptoms and anxiety, HARS to measure anxiety, MADRS to measure depressive symptoms</td>
<td valign="top" align="left">31.4 (moderate-severe anxiety) 12.1 (moderate-severe depression) 14.5 (moderate-severe stress)</td>
<td valign="top" align="left">Age, sex, marital status, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Fauzi et al. (<xref ref-type="bibr" rid="B58">58</xref>)</td>
<td valign="top" align="left">Malaysia</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,050 doctors (71.50)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">May 2020 <break/> 1 month</td>
<td valign="top" align="left">DASS-21 to measure stress, depressive symptoms and anxiety</td>
<td valign="top" align="left">31.0 (depression) <break/> 29.7 (anxiety) <break/> 23.5 (stress)</td>
<td valign="top" align="left">Perceived control, adaptive coping styles</td>
</tr>
<tr>
<td valign="top" align="left">Fiksenbaum et al. (<xref ref-type="bibr" rid="B59">59</xref>)</td>
<td valign="top" align="left">Canada</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">333 nurses (94.59)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">03/2004&#x02013;05/2004</td>
<td valign="top" align="left">Study specific measures on worry about contracting SARS, MBI GS to assess extent of emotional exhaustion</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Social support-professional/organizational, direct contact with infected cases, time spent in quarantine</td>
</tr>
<tr>
<td valign="top" align="left">Garc&#x000ED;a-Fern&#x000E1;ndez et al. (<xref ref-type="bibr" rid="B60">60</xref>)</td>
<td valign="top" align="left">Spain</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">781 HCW (NR)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">29/03/2020&#x02013;05/04/2020 <break/> 1 week during the peak of the outbreak</td>
<td valign="top" align="left">HAM-A to measure anxiety, BDI to measure depressive symptoms, ASDI to measure stress</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Work experience, Adequate information, Hospital resources, protection, training</td>
</tr>
<tr>
<td valign="top" align="left">Giardino et al. (<xref ref-type="bibr" rid="B61">61</xref>)</td>
<td valign="top" align="left">Argentina</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,059 HCW (72.70)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">5/06/2020&#x02013;25/06/2020</td>
<td valign="top" align="left">GADS to measure anxiety and depression</td>
<td valign="top" align="left">81.0 (depression) <break/> 76.5 (anxiety)</td>
<td valign="top" align="left">Age, sex, HCW type, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Giusti et al. (<xref ref-type="bibr" rid="B62">62</xref>)</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">330 HCW (62.60)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">16/04/2020&#x02013;11/05/2020</td>
<td valign="top" align="left">STAI to measure anxiety, DASS-21 to measure stress, depressive symptoms and anxiety, IES-6 to measure post-traumatic stress disorder, MBI to measure burnout</td>
<td valign="top" align="left">71.2 (anxiety) <break/> 26.8 (depression) <break/> 34.3 (stress) <break/> 36.7 (distress; PTSD)</td>
<td valign="top" align="left">Sex, HCW type, social support-personal, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Goulia et al. (<xref ref-type="bibr" rid="B63">63</xref>)</td>
<td valign="top" align="left">Greece</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">469 HCW (68.40)</td>
<td valign="top" align="left">H1N1</td>
<td valign="top" align="left">1/09/2009&#x02013;30/09/2009 <break/> At the beginning of the second wave of the pandemic</td>
<td valign="top" align="left">GHQ-28 to measure psychological distress, study specific measure of worry about H1N1</td>
<td valign="top" align="left">27.5 (mild to severe psychological distress) <break/> 56.7 (worry)</td>
<td valign="top" align="left">HCW type, stigma, adequate information, positive work attitudes</td>
</tr>
<tr>
<td valign="top" align="left">Grace et al. (<xref ref-type="bibr" rid="B64">64</xref>)</td>
<td valign="top" align="left">Canada</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">193 physicians (32.10)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">During the SARS outbreak in 2003</td>
<td valign="top" align="left">Study specific question about new distressing psychological symptoms</td>
<td valign="top" align="left">18.1 (new distressing symptoms)</td>
<td valign="top" align="left">Direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Gupta et al. (<xref ref-type="bibr" rid="B65">65</xref>)</td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,124 HCW (36.10)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">30/03/2020&#x02013;2/04/2020 <break/> 4 days</td>
<td valign="top" align="left">HADS to measure anxiety and depression</td>
<td valign="top" align="left">37.2 (anxiety) <break/> 31.4 (depression)</td>
<td valign="top" align="left">Age, sex, marital status, higher education level, HCW type, less experience, direct contact with infected cases, hospital resources, protection, training</td>
</tr>
<tr>
<td valign="top" align="left">Han et al. (<xref ref-type="bibr" rid="B66">66</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">21,199 nurses (98.60)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">7/02/2020&#x02013;10/02/2020</td>
<td valign="top" align="left">SAS to measure anxiety, SDS to measure depressive symptoms</td>
<td valign="top" align="left">3.9 (moderate anxiety) <break/> 0.8 (severe anxiety) <break/> 6.9 (moderate depression) <break/> 1.3 (severe depression)</td>
<td valign="top" align="left">Sex, age, marital status, direct contact with infected cases, at risk of being in contact with infected patients,</td>
</tr>
<tr>
<td valign="top" align="left">Hasan et al. (<xref ref-type="bibr" rid="B67">67</xref>)</td>
<td valign="top" align="left">Pakistan</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">151 doctors (56.30)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">30/04/2020&#x02013;16/05/2020</td>
<td valign="top" align="left">GAD-7 to measure anxiety</td>
<td valign="top" align="left">14.6 (moderate anxiety) <break/> 3.3. (severe anxiety)</td>
<td valign="top" align="left">Sex, direct contact with confirmed cases</td>
</tr>
<tr>
<td valign="top" align="left">Ho et al. (<xref ref-type="bibr" rid="B68">68</xref>) <break/> Sample 1</td>
<td valign="top" align="left">Hong Kong</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">82 HCW (56.09)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">5/04/03&#x02013;5/05/03 <break/> During height of outbreak</td>
<td valign="top" align="left">Study specific measures of worry about contracting SARS</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Perceived control</td>
</tr>
<tr>
<td valign="top" align="left">Ho et al. (<xref ref-type="bibr" rid="B68">68</xref>) <break/> Sample 2</td>
<td valign="top" align="left">Hong Kong</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">97 HCW (82.50)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">Sample 2 <break/> 08/2003</td>
<td valign="top" align="left">CIES&#x02013;R to measure post-traumatic stress disorder</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Perceived control</td>
</tr>
<tr>
<td valign="top" align="left">Holton et al. (<xref ref-type="bibr" rid="B69">69</xref>)</td>
<td valign="top" align="left">Australia</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">688 HCW (85.00)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">15/05/2020&#x02013;10/06/2020</td>
<td valign="top" align="left">DASS-21 to measure stress, depressive symptoms and anxiety</td>
<td valign="top" align="left">25.0 (psychological distress)</td>
<td valign="top" align="left">Sex, marital status, less experience, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Hong et al. (<xref ref-type="bibr" rid="B70">70</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">4,692 nurses (96.90)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">8/02/2020&#x02013;14/02/2020 2 weeks after the authority in Wuhan suspended all public transport on 23/01/2020</td>
<td valign="top" align="left">PHQ-9 to measure depressive symptoms, GAD-7 to measure anxiety</td>
<td valign="top" align="left">9.4 (depressive symptoms) <break/> 8.1 (anxiety)</td>
<td valign="top" align="left">Marital status, higher education level, social support-personal, social support-professional and organizational, perceived risk</td>
</tr>
<tr>
<td valign="top" align="left">Hosseinzadeh-Shanjani et al. (<xref ref-type="bibr" rid="B71">71</xref>)</td>
<td valign="top" align="left">Iran</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">200 HCW (80.00)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">March 2020&#x02013;May 2020</td>
<td valign="top" align="left">DASS-21 to measure stress, depressive symptoms and anxiety</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Age, sex, marital status, higher education level,</td>
</tr>
<tr>
<td valign="top" align="left">Hu et al. (<xref ref-type="bibr" rid="B72">72</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">2,014 nurses (87.10)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">13/02/2020-24/02/2020 <break/> At the peak of the outbreak</td>
<td valign="top" align="left">MBI-HSS to measure burnout, SAS to measure anxiety, SDS to measure depressive symptoms</td>
<td valign="top" align="left">60.5 (emotional exhaustion) <break/> 14.3 (anxiety) <break/> 10.7 (depression)</td>
<td valign="top" align="left">Age, sex, marital status, social support-personal, higher education level, less work experience, social support-personal, perceived control, adaptive personality traits, at risk of being in contact with infected patients, hospital resources, protection, training</td>
</tr>
<tr>
<td valign="top" align="left">Huang et al. (<xref ref-type="bibr" rid="B73">73</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">587 mixture of radiology staff (52.00)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">7/02/2020&#x02013;9/02/2020</td>
<td valign="top" align="left">CPSS to measure stress, CSAS to measure anxiety</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Sex, marital status</td>
</tr>
<tr>
<td valign="top" align="left">Huffman et al. (<xref ref-type="bibr" rid="B74">74</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">720 HCW (NR)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">21/04/2020 for 3 weeks <break/> Survey was open during the state of Indiana&#x00027;s peak day of COVID-19 cases on 26/04/2020</td>
<td valign="top" align="left">Grit-S to measure perceived grit</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Adaptive coping style, hospital resources, protection, training</td>
</tr>
<tr>
<td valign="top" align="left">Jain et al. (<xref ref-type="bibr" rid="B75">75</xref>)</td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">512 anaesthesiologists (44.30)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">12/05/2020&#x02013;22/05/2020</td>
<td valign="top" align="left">GAD-7 to measure anxiety</td>
<td valign="top" align="left">74.2 (anxiety)</td>
<td valign="top" align="left">Age, sex, marital status, less work experience, direct contact with infected cases, hospital protection (PPE) for treatment of infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Ji et al. (<xref ref-type="bibr" rid="B76">76</xref>)</td>
<td valign="top" align="left">Sierra Leone</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">143 medical staff and students (49.50)</td>
<td valign="top" align="left">Ebola (EVD)</td>
<td valign="top" align="left">13/02/2015&#x02013;19/03/2015 <break/> During Ebola outbreak</td>
<td valign="top" align="left">SCL-90-R to measure psychological symptoms</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Educational level</td>
</tr>
<tr>
<td valign="top" align="left">Jo et al. (<xref ref-type="bibr" rid="B77">77</xref>)</td>
<td valign="top" align="left">South Korea</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">253 HCW (83.00)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">IES-R to measure post-traumatic stress disorder</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Sex, HCW type</td>
</tr>
<tr>
<td valign="top" align="left">Juan et al. (<xref ref-type="bibr" rid="B78">78</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">456 doctors and Nurses (70.60)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">01/02/2020&#x02013;14/02/2020</td>
<td valign="top" align="left">IES-R to measure post-traumatic stress disorder, GAD-7 to measure anxiety, PHQ-9 to measure depressive symptoms</td>
<td valign="top" align="left">37.5 (psychological distress) <break/> 31.6 (anxiety) <break/> 29.6 (depression)</td>
<td valign="top" align="left">Sex, age, level of education, HCW type, direct contact with infected cases, risk of contact with infected cases, stigma, social support-personal, time spent in quarantine</td>
</tr>
<tr>
<td valign="top" align="left">Jung et al. (<xref ref-type="bibr" rid="B79">79</xref>)</td>
<td valign="top" align="left">South Korea</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">147 nurses (NR)</td>
<td valign="top" align="left">MERS</td>
<td valign="top" align="left">1/10/2015&#x02013;30/11/2015 <break/> Shortly after the MERS epidemic ended</td>
<td valign="top" align="left">IES-RK to measure post-traumatic stress disorder, GHQ-12 to measure mental health, study specific measure of stress</td>
<td valign="top" align="left">57.1 (distress: PTSD)</td>
<td valign="top" align="left">Social support-Professional/organizational</td>
</tr>
<tr>
<td valign="top" align="left">Khattak et al. (<xref ref-type="bibr" rid="B80">80</xref>)</td>
<td valign="top" align="left">Pakistan</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">380 nurses (84.21)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">CAPS to measure post-traumatic stress disorder,</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Social support-organizational/ professional</td>
</tr>
<tr>
<td valign="top" align="left">Kim and Choi (<xref ref-type="bibr" rid="B81">81</xref>)</td>
<td valign="top" align="left">South Korea</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">223 ED nurses (93.50)</td>
<td valign="top" align="left">MERS</td>
<td valign="top" align="left">20/07/2015&#x02013;31/07/2015. <break/> 2 months after the outbreak of MERS during uncontrolled disease period</td>
<td valign="top" align="left">OLBI to assess MERS-related burnout</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Age, sex, marital status, level of education, work experience, direct contact with infected cases, social support-personal, hospital resources, protection, training</td>
</tr>
<tr>
<td valign="top" align="left">Kim et al. (<xref ref-type="bibr" rid="B82">82</xref>)</td>
<td valign="top" align="left">South Korea</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">112 nurses (88.30)</td>
<td valign="top" align="left">MERS</td>
<td valign="top" align="left">30/06/2015&#x02013;10/07/2015</td>
<td valign="top" align="left">IES to measure post-traumatic stress disorder, MBI-HSS to measure burnout.</td>
<td valign="top" align="left">50.0 (distress: PTSD)</td>
<td valign="top" align="left">Age, sex, marital status, higher level of education, less work experience</td>
</tr>
<tr>
<td valign="top" align="left">Koh et al. (<xref ref-type="bibr" rid="B83">83</xref>)</td>
<td valign="top" align="left">Singapore</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">7,614 HCW (82.00)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">05/2003&#x02013;07/2003 <break/> Toward the tail end of the pandemic</td>
<td valign="top" align="left">IES to measure post-traumatic stress disorder; single item to measure perceived stress at work</td>
<td valign="top" align="left">56.0 (stress)</td>
<td valign="top" align="left">HCW type, marital status, Stigma, exposure to SARS</td>
</tr>
<tr>
<td valign="top" align="left">Lai et al. (<xref ref-type="bibr" rid="B84">84</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,257 HCW (76.70)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">29/01/20&#x02013;3/02/20 <break/> During pandemic</td>
<td valign="top" align="left">PHQ-9 to measure depression, GAD-7 to measure anxiety, CIES-R to measure post-traumatic stress disorder</td>
<td valign="top" align="left">50.4 (depression) <break/> 44.6 (anxiety) <break/> 71.5 (distress: PTSD)</td>
<td valign="top" align="left">Sex, HCW type, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Lee et al. (<xref ref-type="bibr" rid="B85">85</xref>)</td>
<td valign="top" align="left">South Korea</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">359 HCW (81.90)</td>
<td valign="top" align="left">MERS</td>
<td valign="top" align="left">05/32015&#x02013;12/2015 <break/> During the outbreak</td>
<td valign="top" align="left">IES-R to measure post-traumatic stress</td>
<td valign="top" align="left">51.0 (distress: PTSD)</td>
<td valign="top" align="left">Sex, age, HCW type, at risk of being in contact with infected patients, time spent in quarantine</td>
</tr>
<tr>
<td valign="top" align="left">Leng et al. (<xref ref-type="bibr" rid="B86">86</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">90 nurses (72.20)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">11/03/2020&#x02013;18/03/2020 <break/> At the time of the survey, nurses had worked in Wuhan for at least 32 days</td>
<td valign="top" align="left">CPSS to measure psychological distress, PCL-C to measure post-traumatic stress disorder</td>
<td valign="top" align="left">5.6 (distress: PTSD)</td>
<td valign="top" align="left">Sex, age, marital status, level of education, less work experience</td>
</tr>
<tr>
<td valign="top" align="left">Li et al. (<xref ref-type="bibr" rid="B87">87</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">908 HCW (75.55)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">3/02/2020-24/02/2020 <break/> Survey began 10 days after state of emergency declared on 23/01/2020</td>
<td valign="top" align="left">SAS to measure anxiety, SDS to measure depressive symptoms</td>
<td valign="top" align="left">24.34 (anxiety) <break/> 32.93 (depression)</td>
<td valign="top" align="left">Less work experience, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Li et al. (<xref ref-type="bibr" rid="B88">88</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">225 reserve medics (72.0)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">4/04/2020&#x02013;6/04/2020</td>
<td valign="top" align="left">IES-R to measure post-traumatic stress disorder, DASS-21 to measure depressive symptoms, stress and anxiety</td>
<td valign="top" align="left">46.7 (depression) <break/> 35.6 (anxiety) <break/> 16.0 (stress) <break/> 31.6 (distress: PTSD)</td>
<td valign="top" align="left">Sex, age social support-professional/ organizational</td>
</tr>
<tr>
<td valign="top" align="left">Li et al. (<xref ref-type="bibr" rid="B89">89</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">356 nurses (86.2)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">01/2020&#x02013;03/2020</td>
<td valign="top" align="left">PSS-10 to measure stress, PCL-5 to measure post-traumatic stress disorder</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Age, marital status, level of education, les work experience, job role, direct contact with infected cases, adaptive personality traits</td>
</tr>
<tr>
<td valign="top" align="left">Liao et al. (<xref ref-type="bibr" rid="B90">90</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,092 nurses (99.51)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">02/2020</td>
<td valign="top" align="left">SSAR to measure stress</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Age, sex, marital status, level of education, social support-personal, perceived control</td>
</tr>
<tr>
<td valign="top" align="left">Lin et al. (<xref ref-type="bibr" rid="B91">91</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">114 HCW (79.80)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">02/2020</td>
<td valign="top" align="left">HADS to measure anxiety and depression</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Adaptive and maladaptive coping styles, adaptive personality traits</td>
</tr>
<tr>
<td valign="top" align="left">Liu et al. (<xref ref-type="bibr" rid="B92">92</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">549 HCW (75.2)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">In 2006, 3 years after Beijing&#x00027;s SARS outbreak</td>
<td valign="top" align="left">CES-D to measure depressive symptoms</td>
<td valign="top" align="left">22.8 (moderate or severe depression)</td>
<td valign="top" align="left">Sex, age, marital status, altruistic perspective toward work, exposure to infection, being quarantined</td>
</tr>
<tr>
<td valign="top" align="left">Liu et al. (<xref ref-type="bibr" rid="B93">93</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">512 HCW (79.96)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">10/02/20&#x02013;20/02/20 <break/> During pandemic</td>
<td valign="top" align="left">SAS to measure anxiety</td>
<td valign="top" align="left">12.5 (mild to severe anxiety)</td>
<td valign="top" align="left">Sex, age, marital status, level of education, HCW type, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Liu et al. (<xref ref-type="bibr" rid="B94">94</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,090 HCW (80.20)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">24/02/2020&#x02013;9/03/2020</td>
<td valign="top" align="left">PSS-10 to measure stress, GAD-7 to measure anxiety, PHQ-9 to measure depressive symptoms</td>
<td valign="top" align="left">13.3 (anxiety) <break/> 18.4 (depression) <break/> 23.9 (anxiety and depression)</td>
<td valign="top" align="left">Age, sex, marital status, HCW type, level of education, less experience, social support-personal</td>
</tr>
<tr>
<td valign="top" align="left">Liu et al. (<xref ref-type="bibr" rid="B95">95</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">2,031 doctors and Nurses (85.52)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">17/02-2020&#x02013;23/02/2020</td>
<td valign="top" align="left">DASS-21 to measure stress, depressive symptoms and anxiety</td>
<td valign="top" align="left">14.81 (depression) <break/> 18.3 (anxiety) <break/> 9.98 (stress)</td>
<td valign="top" align="left">Sex, age, HCW type, role, level of education, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Lu et al. (<xref ref-type="bibr" rid="B96">96</xref>)</td>
<td valign="top" align="left">Taiwan</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">127 HCW (58.27)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">07/2003&#x02013;03/2004</td>
<td valign="top" align="left">CHQ to assess psychiatric morbidity</td>
<td valign="top" align="left">17.3 (psychiatric morbidity)</td>
<td valign="top" align="left">Neuroticism</td>
</tr>
<tr>
<td valign="top" align="left">Lu et al. (<xref ref-type="bibr" rid="B97">97</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">2,042 HCW (77.90)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">25/02/2020&#x02013;26/02/2020</td>
<td valign="top" align="left">HAM-A to measure anxiety, HAM-D to measure depressive symptoms</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Magnavita et al. (<xref ref-type="bibr" rid="B98">98</xref>)</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">595 HCW (70.10)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">27/03/2020&#x02013;30/04/2020</td>
<td valign="top" align="left">GADS to measure anxiety and depression</td>
<td valign="top" align="left">16.6 (anxiety) <break/> 20.3 (depression)</td>
<td valign="top" align="left">Age, sex, exposure to confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Maraqa et al. (<xref ref-type="bibr" rid="B99">99</xref>)</td>
<td valign="top" align="left">Palestine</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">430 doctors, nurses, and allied health professionals (54.80)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">29/03/2020&#x02013;15/04/2020</td>
<td valign="top" align="left">Study specific measure of stress</td>
<td valign="top" align="left">74.0 (stress)</td>
<td valign="top" align="left">Age, sex, HCW type, marital status; married with children, direct contact with infected cases, social support-organizational, hospital resources, protection, training</td>
</tr>
<tr>
<td valign="top" align="left">Mart&#x000ED;nez-L&#x000F3;pez et al. (<xref ref-type="bibr" rid="B100">100</xref>)</td>
<td valign="top" align="left">Spain</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">157 HCW (79.00)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">6/04/2020&#x02013;19/04/2020 <break/> Middle of lockdown in Spain and at peak of pandemic</td>
<td valign="top" align="left">MBI to measure burnout</td>
<td/>
<td valign="top" align="left">Age, sex, HCW type, hospital resources (PPE) for treatment of infection</td>
</tr>
<tr>
<td valign="top" align="left">Marton et al. (<xref ref-type="bibr" rid="B101">101</xref>)</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">458 HCW (NR)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">24/03/2020&#x02013;13/05/2020 <break/> Phase 1 of Italian COVID-19 emergency</td>
<td valign="top" align="left">GHQ-12 to measure psychological distress</td>
<td valign="top" align="left">21.26 (psychological distress)</td>
<td valign="top" align="left">Age, less experience, perceived control</td>
</tr>
<tr>
<td valign="top" align="left">Master et al. (<xref ref-type="bibr" rid="B102">102</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">263 nurses (76.70)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">3/02/2020&#x02013;11/02/2020</td>
<td valign="top" align="left">GHQ-12 to measure psychological distress, IES-R to measure post-traumatic stress disorder</td>
<td valign="top" align="left">25.1 (psychological distress)</td>
<td valign="top" align="left">Sex, age, level of education, marital status, less experience, adaptive and maladaptive coping styles, stigma, social support-personal, hospital resources, protection, training</td>
</tr>
<tr>
<td valign="top" align="left">Matsuishi et al. (<xref ref-type="bibr" rid="B103">103</xref>)</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,625 HCW (75.60)</td>
<td valign="top" align="left">H1N1</td>
<td valign="top" align="left">16/03/2009&#x02013;31/07/2009 <break/> Approximately 1 month after the peak of outbreak</td>
<td valign="top" align="left">IES to measure post-traumatic stress disorder, study specific measures on stress</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Age, sex, HCW type, at risk of being in contact with infected patients</td>
</tr>
<tr>
<td valign="top" align="left">Maunder et al. (<xref ref-type="bibr" rid="B104">104</xref>)</td>
<td valign="top" align="left">Canada</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,557 HCW (74.60)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">12/05/2003&#x02013;20/06/2003 <break/> During the outbreak</td>
<td valign="top" align="left">IES to measure psychological stress</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Direct contact with infected cases, stigma</td>
</tr>
<tr>
<td valign="top" align="left">Maunder et al. (<xref ref-type="bibr" rid="B14">14</xref>)</td>
<td valign="top" align="left">Canada</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">587 HCW (87.80)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">23/10/2004&#x02013;30/09/2005 <break/> 13&#x02013;26 months after outbreak</td>
<td valign="top" align="left">IES to measure post-traumatic stress disorder, K10 to measure non-specific psychological distress, MBI-EE to measure burnout</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Work experience, stigma, maladaptive coping styles, maladaptive personality traits, direct contact with infected cases, time spent in quarantine</td>
</tr>
<tr>
<td valign="top" align="left">McAlonan et al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="left">Hong Kong</td>
<td valign="top" align="left">Cross-sectional across 2 time points</td>
<td valign="top" align="left">T1 = 176 <break/> T2 = 184 HCW (73.25, T1; 64.50, T2)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">T1: 15/04/2003&#x02013;15/05/2003. During the peak period of hospital admissions for SARS. T2: 2004</td>
<td valign="top" align="left">PSS-10 to measure stress, DASS-21 to measure stress, depressive symptoms and anxiety, IES-R to measure post-traumatic stress disorder</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">At risk of being in contact with infected patients</td>
</tr>
<tr>
<td valign="top" align="left">Mo et al. (<xref ref-type="bibr" rid="B105">105</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">200 nurses (89.00)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">22/02/2020</td>
<td valign="top" align="left">SAS to measure subjective anxiety, SOS to measure stress</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Sex, marital status, level of education, perceived control, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Mosheva et al. (<xref ref-type="bibr" rid="B106">106</xref>)</td>
<td valign="top" align="left">Israel</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,106 doctors (49.0)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">19/03/2020&#x02013;22/03/2020 <break/> Whilst confirmed cases were rising</td>
<td valign="top" align="left">Study specific measures of stress</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Marital status, hospital training for treatment of infection, adaptive personality traits</td>
</tr>
<tr>
<td valign="top" align="left">Nickell et al. (<xref ref-type="bibr" rid="B107">107</xref>)</td>
<td valign="top" align="left">Canada</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">510 HCW (78.80)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">10/04/2003&#x02013;22/04/2003 <break/> Conducted during the peak of the initial phase of the SARS outbreak</td>
<td valign="top" align="left">GHQ-12 to measure psychological distress</td>
<td valign="top" align="left">29.0 (distress)</td>
<td valign="top" align="left">HCW type, part-time work status</td>
</tr>
<tr>
<td valign="top" align="left">Park et al. (<xref ref-type="bibr" rid="B108">108</xref>)</td>
<td valign="top" align="left">South Korea</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">187 nurses (100.00)</td>
<td valign="top" align="left">MERS</td>
<td valign="top" align="left">30/08/2015&#x02013;21/09/2015 <break/> Conducted during MERS epidemic</td>
<td valign="top" align="left">PSS to measure level of perceived stress, SF-36 MH to measure mental health status</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Marital status, work experience, stigma, adaptive personality traits</td>
</tr>
<tr>
<td valign="top" align="left">Park et al. (<xref ref-type="bibr" rid="B109">109</xref>)</td>
<td valign="top" align="left">South Korea</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,003 HCW (77.10)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">2/04/2020&#x02013;10/04/2020 <break/> Whilst cases were increasing</td>
<td valign="top" align="left">PHQ-9 to measure depressive symptoms, GAD-7 to measure anxiety</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">HCW type, stigma, direct contact with infected cases, time spent in quarantine</td>
</tr>
<tr>
<td valign="top" align="left">Phua et al. (<xref ref-type="bibr" rid="B110">110</xref>)</td>
<td valign="top" align="left">Singapore</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">96 doctors and nurses (64.60)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">1/11/2003&#x02013;14/11/2003 <break/> 6 months after the end of the outbreak</td>
<td valign="top" align="left">IES to measure post-traumatic stress disorder, GHQ-28 to measure psychiatric morbidity</td>
<td valign="top" align="left">18.8 (psychiatric morbidity), 17.7 (distress: PTSD)</td>
<td valign="top" align="left">HCW type, maladaptive coping styles</td>
</tr>
<tr>
<td valign="top" align="left">Podder et al. (<xref ref-type="bibr" rid="B111">111</xref>)</td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">384 doctors (44.53)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">03/04/2020&#x02013;10/04/2020</td>
<td valign="top" align="left">PSS-10 to measure stress</td>
<td valign="top" align="left">85.6 (moderate and high stress)</td>
<td valign="top" align="left">Age, sex, marital status</td>
</tr>
<tr>
<td valign="top" align="left">Poon et al. (<xref ref-type="bibr" rid="B112">112</xref>)</td>
<td valign="top" align="left">Hong Kong</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,926 HCW (NR)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">05/2003&#x02013;06/2003 <break/> Diagnosis of the first case of SARS occurred on 12/03/2003. Hong Kong declared SARS-free on 23/06/2003</td>
<td valign="top" align="left">STAI to measure anxiety, MBI-EE to measure emotional burnout</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">HCW type, contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Pouralizadeh et al. (<xref ref-type="bibr" rid="B113">113</xref>)</td>
<td valign="top" align="left">Iran</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">441 nurses (95.20)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">7/04/2020&#x02013;12/04/2020</td>
<td valign="top" align="left">GAD-7 to measure anxiety, PHQ-9 to measure depressive symptoms</td>
<td valign="top" align="left">38.8 (anxiety) <break/> 37.4 (depression)</td>
<td valign="top" align="left">Age, sex, marital status, level of education, less work experience, risk of contact with infected cases, hospital resources, protection, training</td>
</tr>
<tr>
<td valign="top" align="left">Prasad et al. (<xref ref-type="bibr" rid="B114">114</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">347 HCW (90.80)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">14/04.20202&#x02013;25/04/2020</td>
<td valign="top" align="left">GAD-7 to measure anxiety, Mini Z to measure burnout, IES to measure distress, PHQ-2 to measure depressive symptoms</td>
<td valign="top" align="left">69.5 (anxiety) <break/> 84.1 (mild distress) <break/> 22.8 (depression)</td>
<td valign="top" align="left">Age, HCW role</td>
</tr>
<tr>
<td valign="top" align="left">Que et al. (<xref ref-type="bibr" rid="B115">115</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">2,285 HCW (69.06)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">16/02/2020&#x02013;23/02/2020 <break/> Early stage of COVID-19 pandemic</td>
<td valign="top" align="left">GAD-7 to measure anxiety, PHQ-9 to measure depressive symptoms</td>
<td valign="top" align="left">46.0 (anxiety) <break/> 44.4 (depression)</td>
<td valign="top" align="left">Sex, at risk of being in contact with infected patients</td>
</tr>
<tr>
<td valign="top" align="left">Rodriguez-Men&#x000E9;ndez et al. (<xref ref-type="bibr" rid="B116">116</xref>)</td>
<td valign="top" align="left">Spain</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,407 HCW (71.50)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">11/05/2020&#x02013;31/05/2020</td>
<td valign="top" align="left">GHQ-28 to measure distress, SASR to measure perceived anxiety</td>
<td valign="top" align="left">24.7 (acute stress)</td>
<td valign="top" align="left">Sex, age, HCW type, Hospital resources, protection, training, Social support &#x02013; professional/organizational, adequate information</td>
</tr>
<tr>
<td valign="top" align="left">Romero et al. (<xref ref-type="bibr" rid="B117">117</xref>)</td>
<td valign="top" align="left">Spain</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">3,109 HCW (NR)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">09/04/2020&#x02013;19/04/2020 <break/> 10 days during the outbreak</td>
<td valign="top" align="left">Study specific measure of stress</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Age</td>
</tr>
<tr>
<td valign="top" align="left">Rossi et al. (<xref ref-type="bibr" rid="B118">118</xref>)</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,379 HCW (77.20)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">27/03/2020&#x02013;31/03/2020 <break/> Days immediately preceding the peak 77.2 of the COVID-19 outbreak in Italy</td>
<td valign="top" align="left">GAD-7 to measure anxiety, PSS to assess perceived stress, PHQ-9 to measure depressive symptoms, GPS to assess post-traumatic stress symptoms (PTSS)</td>
<td valign="top" align="left">49.4 (distress: PTSD)</td>
<td valign="top" align="left">Sex, age, HCW type, colleagues being infected, quarantined, deceased</td>
</tr>
<tr>
<td valign="top" align="left">Ruiz-Fern&#x000E1;ndez et al. (<xref ref-type="bibr" rid="B119">119</xref>)</td>
<td valign="top" align="left">Spain</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">506 doctors and nurses (76.70)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">30/03/2020&#x02013;16/04/2020</td>
<td valign="top" align="left">PSS-14 to measure stress</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Sex, marital status, HCW type, part-time work, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Sagaon-Teyssier et al. (<xref ref-type="bibr" rid="B120">120</xref>)</td>
<td valign="top" align="left">Mali</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">135 HCW (39.30)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">6/04/2020&#x02013;11/04/2020</td>
<td valign="top" align="left">GAD-7 to measure anxiety, PHQ-9 to measure depressive symptoms</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Sex, marital status, HCW type, hospital resources, protection, training</td>
</tr>
<tr>
<td valign="top" align="left">Sahin et al. (<xref ref-type="bibr" rid="B121">121</xref>)</td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">939 HCW (66.00)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">23/04/2020&#x02013;23/05/2020</td>
<td valign="top" align="left">GAD-7 to measure anxiety, IES-R to measure post-traumatic stress disorder, PHQ-9 to measure depressive symptoms</td>
<td valign="top" align="left">77.6 (depression) <break/> 60.2 (anxiety) <break/> 76.4 (psychological distress)</td>
<td valign="top" align="left">Sex, age, HCW type, less work experience, risk of contact with infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Saricam (<xref ref-type="bibr" rid="B122">122</xref>)</td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">123 nurses (74.00)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">10/04/2020&#x02013;20/04/2020</td>
<td valign="top" align="left">STAI to measure anxiety</td>
<td valign="top" align="left">46.3 (anxiety)</td>
<td valign="top" align="left">Sex, age, marital status, less work experience, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Shahrour and Dardas (<xref ref-type="bibr" rid="B123">123</xref>)</td>
<td valign="top" align="left">Jordan</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">448 nurses (73.00)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">SAS to measure anxiety, BSI-18 to measure psychological distress</td>
<td valign="top" align="left">64.0 (acute stress) <break/> 41.0 (significant psychological distress)</td>
<td valign="top" align="left">Sex, age, perceived control</td>
</tr>
<tr>
<td valign="top" align="left">Shechter et al. (<xref ref-type="bibr" rid="B124">124</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">657 HCW (70.90)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">09/04/2020&#x02013;24/04/2020</td>
<td valign="top" align="left">GAD-2 to measure anxiety, PHQ-2 to measure depressive symptoms, PC-PTSD to measure acute stress</td>
<td valign="top" align="left">57.0 (acute stress) 48.0 (depression) <break/> 33.0 (anxiety)</td>
<td valign="top" align="left">HCW type</td>
</tr>
<tr>
<td valign="top" align="left">Si et al. (<xref ref-type="bibr" rid="B125">125</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">863 HCW (70.70)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">23/02/2020&#x02013;5/03/2020</td>
<td valign="top" align="left">IES-6 to measure post-traumatic stress disorder, DASS-21 to measure stress, depressive symptoms and anxiety</td>
<td valign="top" align="left">13.6 (depression) <break/> 13.9 (anxiety) <break/> 8.6 (stress)</td>
<td valign="top" align="left">Sex, age, marital status, level of education, HCW type, direct contact with infected cases, time spent in quarantine</td>
</tr>
<tr>
<td valign="top" align="left">Son et al. (<xref ref-type="bibr" rid="B126">126</xref>)</td>
<td valign="top" align="left">South Korea</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">153 HCW hospital staff (74.30)</td>
<td valign="top" align="left">MERS</td>
<td valign="top" align="left">25/08/2015&#x02013;14/09/2015 <break/> Approximately 1 month after the end of the outbreak on 28/07/2015</td>
<td valign="top" align="left">IES-RK to measure post-traumatic stress disorder</td>
<td valign="top" align="left">18.6 (distress: PTSD)</td>
<td valign="top" align="left">Loss of control and perceived risk, adaptive coping styles and ability</td>
</tr>
<tr>
<td valign="top" align="left">Song et al. (<xref ref-type="bibr" rid="B127">127</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">14,825 doctors and nurses (64.30)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">28/02/2020&#x02013;18/03/2020</td>
<td valign="top" align="left">CES-D to measure depression, PCL-5 to measure post-traumatic stress disorder (PTSD)</td>
<td valign="top" align="left">25.2 (depression) <break/> 9.1 (PTSD)</td>
<td valign="top" align="left">Age, sex, marital status, HCW type, less work experience, social support-personal</td>
</tr>
<tr>
<td valign="top" align="left">Sorokin et al. (<xref ref-type="bibr" rid="B128">128</xref>)</td>
<td valign="top" align="left">Russia</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,800 HCW <break/> Phase 1: 223 (79.50) <break/> Phase 2: 1577 (89.50)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">1st week of self-isolation <break/> Phase 1: 30/03/2020&#x02013;5/04/2020 <break/> Phase 2: 4/05/2020&#x02013;10/05/2020</td>
<td valign="top" align="left">PSM-25 to measure anxiety and distress</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Marital status, HCW type, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Stojanov et al. (<xref ref-type="bibr" rid="B129">129</xref>)</td>
<td valign="top" align="left">Serbia</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">201 HCW <break/> Group 1: 118 (65.60) <break/> Group 2: 83 (66.30)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">GAD-7 to measure anxiety, SDS to measure depressive symptoms</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Styra et al. (<xref ref-type="bibr" rid="B130">130</xref>)</td>
<td valign="top" align="left">Canada</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">248 HCW (87.02)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">16/06/2003&#x02013;9/07/2003</td>
<td valign="top" align="left">IES-R to measure post-traumatic stress disorder</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Age, sex, marital status, work experience, adequate information, at risk of being in contact with infected patients</td>
</tr>
<tr>
<td valign="top" align="left">Sun et al. (<xref ref-type="bibr" rid="B131">131</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">536 HCW (69.00)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">2/03/2020&#x02013;6/03/2020</td>
<td valign="top" align="left">PHQ-9 to measure depressive symptoms, GAD-7 to measure anxiety,</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Age, sex, marital status, colleagues being infected/quarantined, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Sun et al. (<xref ref-type="bibr" rid="B132">132</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">442 HCW (84.30)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">31/01/2020&#x02013;4/02/2020</td>
<td valign="top" align="left">IES to measure post-traumatic stress disorder</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Age, sex, marital status, HCW type, less work experience, at risk of being in contact with infected patients, direct contact with infected cases, time spent in quarantine</td>
</tr>
<tr>
<td valign="top" align="left">Surrati et al. (<xref ref-type="bibr" rid="B133">133</xref>)</td>
<td valign="top" align="left">Saudi Arabia</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">122 HCW (64.40)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">04/2020&#x02013;05/2020</td>
<td valign="top" align="left">HADS to measure anxiety and depression, PSS to measure perceived stress</td>
<td valign="top" align="left">35.6 (anxiety) <break/> 27.9 (depression) <break/> 72.8 (moderate stress)</td>
<td valign="top" align="left">Sex, HCW type, direct contact with infected cases, hospital resources, protection, training</td>
</tr>
<tr>
<td valign="top" align="left">Tam et al. (<xref ref-type="bibr" rid="B134">134</xref>)</td>
<td valign="top" align="left">Hong Kong</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">652 front-line Hospital HCW (79.00)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">06/2003&#x02013;08/2003</td>
<td valign="top" align="left">GHQ-12 to measure psychological distress, Study specific measure for job-related stress</td>
<td valign="top" align="left">56.7 (psychological distress) <break/> 68.0 (stress)</td>
<td valign="top" align="left">HCW type, age, sex, social support-personal, direct contact with infected cases, hospital resources, protection, training</td>
</tr>
<tr>
<td valign="top" align="left">Tan et al. (<xref ref-type="bibr" rid="B135">135</xref>)</td>
<td valign="top" align="left">Singapore</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">3,075 HCW (71.50)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">29/05/2020&#x02013;24/06/2020</td>
<td valign="top" align="left">OLBI to measure burnout, HADS to measure anxiety and depression</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Sex, HCW type, level of education, positive work attitudes</td>
</tr>
<tr>
<td valign="top" align="left">Tang et al. (<xref ref-type="bibr" rid="B136">136</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">102 HCW (66.70)</td>
<td valign="top" align="left">H7N9</td>
<td valign="top" align="left">01/2015 and 05/2016</td>
<td valign="top" align="left">PCL-C to measure post-traumatic stress disorder</td>
<td valign="top" align="left">20.6 (distress: PTSD)</td>
<td valign="top" align="left">Age, sex, HCW type, direct contact with infected cases, hospital resources, protection, training</td>
</tr>
<tr>
<td valign="top" align="left">Teshome et al. (<xref ref-type="bibr" rid="B137">137</xref>)</td>
<td valign="top" align="left">South Ethiopia</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">798 HCW (39.60)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">20/05/2020&#x02013;20/06/2020</td>
<td valign="top" align="left">GAD-7 to measure anxiety</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Teskin et al. (<xref ref-type="bibr" rid="B138">138</xref>)</td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">452 HCW (66.20)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">20/05/2020&#x02013;10/06/2020</td>
<td valign="top" align="left">HADS to measure anxiety and depression</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Stigma</td>
</tr>
<tr>
<td valign="top" align="left">Tselebis et al. (<xref ref-type="bibr" rid="B139">139</xref>)</td>
<td valign="top" align="left">Greece</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">150 nurses (80.00)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">5/2020 <break/> Last 2 weeks</td>
<td valign="top" align="left">PSS to measure perceived stress</td>
<td valign="top" align="left">50.3 (stress)</td>
<td valign="top" align="left">Age, sex, less experience, social support-personal, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Tu et al. (<xref ref-type="bibr" rid="B140">140</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">100 nurses (100.00)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">07/02/2020&#x02013;25/02/2020 <break/> In the initial stage of the outbreak when there was a shortage of nurses</td>
<td valign="top" align="left">GAD-7 to measure anxiety, PHQ-9 to measure depressive symptoms</td>
<td valign="top" align="left">40.0 (anxiety) <break/> 46.0 (depression)</td>
<td valign="top" align="left">Age, marital status, level of education, less work experience</td>
</tr>
<tr>
<td valign="top" align="left">Uyaroglu et al. (<xref ref-type="bibr" rid="B141">141</xref>)</td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">113 doctors (46.90)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">1/04/2020&#x02013;14/04/2020</td>
<td valign="top" align="left">GAD-7 to measure anxiety, Beck Inventory to measure anxiety and depressive symptoms</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Sex, age, marital status, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Vagni et al. (<xref ref-type="bibr" rid="B142">142</xref>)</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">210 HCW (57.10)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">STSS to measure work related stress, study specific measure (Emergency Stress Questionnaire) of stress</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Age, sex, HCW type, adaptive coping styles, adequate information</td>
</tr>
<tr>
<td valign="top" align="left">Veeraraghavan and Srinivasan (<xref ref-type="bibr" rid="B143">143</xref>)</td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">100 doctors (44.00)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">04/2020&#x02013;05/2020 <break/> Before the peak of the pandemic</td>
<td valign="top" align="left">Beck Depression Inventory to measure anxiety and depression,</td>
<td valign="top" align="left">14.0 (moderate anxiety) <break/> 15.0 (moderate depression) <break/> 2.0 (severe depression)</td>
<td valign="top" align="left">Sex, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Verma et al. (<xref ref-type="bibr" rid="B144">144</xref>)</td>
<td valign="top" align="left">Singapore</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">721 doctors (38.80)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">05/2003 <break/> 2 months after the first case of SARS was reported in Singapore</td>
<td valign="top" align="left">GHQ-28 to measure psychological distress, IES-R to measure post-traumatic stress disorder</td>
<td valign="top" align="left">14.1 (psychological distress)</td>
<td valign="top" align="left">Age, stigma, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Wang et al. (<xref ref-type="bibr" rid="B145">145</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">202 nurses (87.60)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">02/2020&#x02013;03/2020</td>
<td valign="top" align="left">PCL-C to measure PTSD</td>
<td valign="top" align="left">16.8 (distress: PTSD)</td>
<td valign="top" align="left">Sex, marital status, level of education, adaptive coping styles and adaptability, maladaptive coping styles, positive work attitudes</td>
</tr>
<tr>
<td valign="top" align="left">Wang et al. (<xref ref-type="bibr" rid="B146">146</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,045 HCW (85.80)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">02/02/2020&#x02013;03/02/2020</td>
<td valign="top" align="left">HADS to measure anxiety and depression, PSS-14 to measure perceived stress</td>
<td valign="top" align="left">13.6 (moderate to severe depression) <break/> 20.0 (moderate to severe anxiety)</td>
<td valign="top" align="left">Sex, HCW type, level of education, less experience, direct contact with infected cases, risk of being in contact with infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Wilson et al. (<xref ref-type="bibr" rid="B147">147</xref>)</td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">350 HCW (46.60)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">10/04/2020&#x02013;25/04/2020</td>
<td valign="top" align="left">GAD-7 to measure anxiety, PHQ-9 to measure depressive symptoms, PSS-10 to measure distress</td>
<td valign="top" align="left">17.7 (moderate and severe anxiety) <break/> 11.4 (severe depression) <break/> 3.7 (high levels of stress)</td>
<td valign="top" align="left">Sex</td>
</tr>
<tr>
<td valign="top" align="left">Wong et al. (<xref ref-type="bibr" rid="B148">148</xref>)</td>
<td valign="top" align="left">Hong Kong</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">466 ED nurses and doctors (65.70)</td>
<td valign="top" align="left">SARS</td>
<td valign="top" align="left">24/06/2003&#x02013;24/07/2003</td>
<td valign="top" align="left">Study specific measures on distress caused by SARS</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">HCW type, loss of control and perceived risk</td>
</tr>
<tr>
<td valign="top" align="left">Xiao et al. (<xref ref-type="bibr" rid="B10">10</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">180 HCW treating patients with COVID-19 (71.70)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">01/2020&#x02013;02/2020</td>
<td valign="top" align="left">SASR to measure perceived stress, SAS to measure anxiety</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Social support-personal, perceived control</td>
</tr>
<tr>
<td valign="top" align="left">Xing et al. (<xref ref-type="bibr" rid="B149">149</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">309 HCW (97.40)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">7/02/2020&#x02013;21/02/2020</td>
<td valign="top" align="left">SAS to measure anxiety, SDS to measure depression,</td>
<td valign="top" align="left">28.5 (anxiety) <break/> 56.0 (depression)</td>
<td valign="top" align="left">Age, marital status, level of education, HCW type, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Xiong et al. (<xref ref-type="bibr" rid="B150">150</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">223 Nurses (97.30)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">16/02/2020&#x02013;25/02/2020</td>
<td valign="top" align="left">GAD-7 to measure anxiety, PHQ-9 to measure depressive symptoms</td>
<td valign="top" align="left">40.8 (anxiety) <break/> 26.4 (depression)</td>
<td valign="top" align="left">Age, sex, level of education, less work experience, role type, direct contact with infected cases&#x0201E; perceived control</td>
</tr>
<tr>
<td valign="top" align="left">Yao et al. (<xref ref-type="bibr" rid="B151">151</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">1,002 HCW (85.20)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">1/02/2020&#x02013;20/02/2020</td>
<td valign="top" align="left">GHQ-12 to measure psychological distress</td>
<td valign="top" align="left">61.1 (psychological distress)</td>
<td valign="top" align="left">Age, sex, marital status, level of education, HCW type, less work experience, direct contact with infected cases, risk of contact with infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Yin et al. (<xref ref-type="bibr" rid="B152">152</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">377 HCW (61.50)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">01/02/2020&#x02013;05/02/2020 <break/> During the early stages of the pandemic</td>
<td valign="top" align="left">PCL-5 to measure post-traumatic stress symptoms (PTSS)</td>
<td valign="top" align="left">3.8 (distress: PTSD)</td>
<td valign="top" align="left">Sex, education level, HCW type, direct contact with confirmed infected cases</td>
</tr>
<tr>
<td valign="top" align="left">Y&#x000F6;r&#x000FC;k and G&#x000FC;ler (<xref ref-type="bibr" rid="B153">153</xref>)</td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">377 midwives and nurses (NR)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">30/05/2020&#x02013;13/06/2020 <break/> 2 weeks</td>
<td valign="top" align="left">MBI-HSS to measure burnout, Beck Depression Inventory to measure depression, PSS to measure perceived stress</td>
<td valign="top" align="left">31.8 (depression)</td>
<td valign="top" align="left">Age, level of education, marital status, less work experience, direct contact with infected cases, adaptive personality traits</td>
</tr>
<tr>
<td valign="top" align="left">Youssef et al. (<xref ref-type="bibr" rid="B154">154</xref>)</td>
<td valign="top" align="left">Egypt</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">540 HCW (45.60)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">04/2020</td>
<td valign="top" align="left">DASS-21 to measure depressive symptoms, stress and anxiety</td>
<td valign="top" align="left">37.2 (mild-severe stress) <break/> 59.0 (depression) <break/> 42.6 (anxiety)</td>
<td valign="top" align="left">Age, sex, marital status, level of education, less work experience</td>
</tr>
<tr>
<td valign="top" align="left">Zhang et al. (<xref ref-type="bibr" rid="B155">155</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">927 HCW (64.96)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">19/02/2020&#x02013;06/03/2020 <break/> 8 weeks after the outbreak in Wuhan</td>
<td valign="top" align="left">SCL-90-R to measure psychological symptoms, PHQ-4 to measure anxiety and depressive symptoms</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Sex, at risk of being in contact with infected patients</td>
</tr>
<tr>
<td valign="top" align="left">Zhang et al. (<xref ref-type="bibr" rid="B156">156</xref>)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">678 HCW (85.05)</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">6/06/2020&#x02013;13/06/2020</td>
<td valign="top" align="left">PCL-C to measure post-traumatic stress disorder, HADS to measure depression and anxiety</td>
<td valign="top" align="left">41.87 (anxiety) <break/> 27.61 (depression)</td>
<td valign="top" align="left">Sex, age, marital status, level of education, HCW type, direct contact with confirmed infected cases, time spent in quarantine, social support-personal</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>COVID-19, Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2); H1N1, influenza A virus subtype H1N1; MERS, Middle East respiratory syndrome; SARS, severe acute respiratory syndrome; ED, Emergency Department; HCW, A mixture of nurses, doctors, and health related staff in a hospital; NR, not reported; HRW, high-risk workers in COVID wards; LRW, low-risk workers in non-COVID wards</italic>.</p>
<p><italic>Measures used in studies: ASDI, Acute Stress Disorder Inventory; BDI, Beck Depression Inventory; BDI-II, Beck Depression Inventory 1996 revision; BSI-18, Brief Symptom Inventory; CAPS, Clinician Administered PTSD Scale; CES-D, Center for Epidemiology Scale for Depression; CHQ, Chinese Health Questionnaire; CMBI, Chinese version of Maslach Burnout Inventory; CIES-R, Chinese Impact of Event Scale&#x02014;Revised; CPSS, Chinese Perceived Stress Scale; CSAS, Chinese Self-Rating Anxiety Scale; DASS, Depression Anxiety and Stress Scale 42-item; DASS-21, Depression; Anxiety and Stress Scale 21-item; GAD-2, Generalized Anxiety Disorder Scale 2-item; GAD-7, Generalized Anxiety Disorder scale 7-item; GADS, Goldberg Anxiety and Depression Scale; GHQ-12, General Health Questionnaire 12-item; GHQ-28, General Health Questionnaire 28-item; GPS, Global Psychotrauma Screen; Grit-S, Short Grit Scale; HADS, Hospital Anxiety and Depression Scale; HAM-A:HAM-A; Hamilton Anxiety Scale; HAM-D, Hamilton Depression Scale; HARS, Hamilton Rating Scale for Anxiety; IES, Impact of Events Scale; IES-6, Impact of Event Scale for Post-Traumatic Stress Disorder 6-item; IES-R, Impact of Events Scale for Post-Traumatic Stress Disorder; IES-RK, Impact of Event Scale revised Korean version; K-10, Kessler Psychological Distress Scale 10-item; K-6, Kessler Psychological Distress Scale 6-item; MADRS, Montgomery-Asberg Depression Rating Scale; MBI, Maslach Burnout Inventory; MBI-EE, emotional exhaustion scale of the Maslach Burnout Inventory; MBI GS, Maslach Burnout Inventory&#x02014;General Survey; MBI HSS, Maslach Burnout Inventory-Human Services Survey; Mini-Z, Z Clinician Questionnaire (for &#x0201C;Zero&#x0201D; Burnout); OLBI, Oldenburg Burnout Inventory; PCL-5; Post-traumatic Stress Disorder Check List (for DSM 5); PCL-C, Post-Traumatic Stress Disorder Checklist-Civilian Version; PDI, Peritraumatic Distress Inventory; PHQ-2, Patient Health Questionnaire 2-item; PHQ-4, Patient Health Questionnaire 4-item; PHQ-9, 9-item Patient Health Questionnaire; PHQ-15, Patient Health Questionnaire Physical Symptoms 15-item; PC-PTSD, Primary Care Post-Traumatic Stress Disorder Screen for DSMIV; PSS, Perceived Stress Scale; PSS-10, Perceived Stress Scale 10-item; PSS-14, Perceived Stress Scale 14-item; Psychological Stress Measure 25-item; PTSD-8, Post-Traumatic Stress Disorder 8-item; SAS, Self-Rating Anxiety Scale; SASR, Stanford Acute Stress Reaction scale; SCL-90-R, Symptoms Checklist 90-items; Revised; Chinese version; SDS, Zung Self-Rating Depression Scale Chinese version; SF-36 MH, Short Form Survey mental health component; SOS, Stress Overload Scale; STAI, State-Trait Anxiety Inventory; STSS, Secondary Traumatic Stress Scale</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Findings from the studies that examined fixed (demographic and occupational) and modifiable (social and psychological) factors and associations with risk and resilience for psychological distress.</p></caption>
<graphic xlink:href="fpsyt-11-589545-g0002.tif"/>
</fig>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Findings from the studies that examined factors related to infection exposure and associations with risk and resilience for psychological distress.</p></caption>
<graphic xlink:href="fpsyt-11-589545-g0003.tif"/>
</fig>
<sec>
<title>Methodological Quality</title>
<p>The quality of the studies ranged from moderate to high, with no studies rated as having low quality. The majority of the 139 studies were rated as having high quality (118; 84.9%), and 21 studies were rated as having a moderate quality (15.1%). Inter-rater agreement was high, 90.65% agreement, Cohen&#x00027;s Kappa = 0.642 (see <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 2</xref>).</p>
</sec>
<sec>
<title>Sociodemographic Factors</title>
<p>Seventy-two studies examined age as a predictor of psychological distress among HCW during an epidemic (see <xref ref-type="table" rid="T2">Table 2</xref>). Of these, 39 found that age was a significant risk factor for distress. In two studies of HCW during the SARS outbreak, staff who were younger than 33 experienced greater stress, but not greater psychiatric morbidity, compared to older staff (<xref ref-type="bibr" rid="B134">134</xref>), and staff under 35 were more likely to report severe depressive symptoms 3 years after the outbreak (<xref ref-type="bibr" rid="B92">92</xref>). In another study, medical staff who were between 20 and 30 years old and exposed to patients with H7N9 had elevated post-traumatic stress disorder scores compared to older staff (<xref ref-type="bibr" rid="B157">157</xref>). Similarly, general practitioners in working during the SARS outbreak who met psychiatric caseness for PTSD were more likely to be younger (<xref ref-type="bibr" rid="B144">144</xref>). In a study during the H1N1 outbreak, hospital staff who were in their 20&#x00027;s had greater anxiety about becoming infected than did older staff (<xref ref-type="bibr" rid="B103">103</xref>). During COVID-19, HCW who were younger were more likely to experience higher levels of post-traumatic stress symptoms, depression, anxiety, and acute stress compared to older HCW (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B26">26</xref>&#x02013;<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B61">61</xref>, <xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B71">71</xref>, <xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B78">78</xref>, <xref ref-type="bibr" rid="B89">89</xref>, <xref ref-type="bibr" rid="B90">90</xref>, <xref ref-type="bibr" rid="B117">117</xref>, <xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B121">121</xref>, <xref ref-type="bibr" rid="B123">123</xref>, <xref ref-type="bibr" rid="B127">127</xref>, <xref ref-type="bibr" rid="B131">131</xref>, <xref ref-type="bibr" rid="B149">149</xref>, <xref ref-type="bibr" rid="B153">153</xref>, <xref ref-type="bibr" rid="B154">154</xref>). In contrast, eight studies conducted during COVID found that HCW who were older were at greater risk of experiencing higher levels of psychological distress (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B95">95</xref>, <xref ref-type="bibr" rid="B102">102</xref>, <xref ref-type="bibr" rid="B114">114</xref>, <xref ref-type="bibr" rid="B122">122</xref>, <xref ref-type="bibr" rid="B132">132</xref>). Lastly, 33 studies found that age was not a significant predictor of distress in HCW during the SARS, MERS or during the COVID-19 outbreaks (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Overview of the evidence for the factors associated with risk and resilience for psychological distress in health-care workers.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Factor</bold></th>
<th valign="top" align="left"><bold>Evidence for risk</bold></th>
<th valign="top" align="left"><bold>Evidence for resilience</bold></th>
<th valign="top" align="left"><bold>Non-significant findings</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4"><bold>Fixed&#x02014;Demographics</bold></td>
</tr>
<tr>
<td valign="top" align="left">Younger age</td>
<td valign="top" align="left">Abdulah and Mohammed (<xref ref-type="bibr" rid="B23">23</xref>), Al Mahyijari et al. (<xref ref-type="bibr" rid="B26">26</xref>), Alan et al. (<xref ref-type="bibr" rid="B27">27</xref>), Arafa et al. (<xref ref-type="bibr" rid="B28">28</xref>), Azoulay et al. (<xref ref-type="bibr" rid="B30">30</xref>), Badahdah et al. (<xref ref-type="bibr" rid="B32">32</xref>), Chatterjee et al. (<xref ref-type="bibr" rid="B42">42</xref>), Civantos et al. (<xref ref-type="bibr" rid="B49">49</xref>), Elbay et al. (<xref ref-type="bibr" rid="B54">54</xref>), Elhadi et al. (<xref ref-type="bibr" rid="B55">55</xref>), Erquicia et al. (<xref ref-type="bibr" rid="B57">57</xref>), Giardino et al. (<xref ref-type="bibr" rid="B61">61</xref>), Gupta et al. (<xref ref-type="bibr" rid="B65">65</xref>), Hosseinzadeh-Shanjani et al. (<xref ref-type="bibr" rid="B71">71</xref>), Jain et al. (<xref ref-type="bibr" rid="B75">75</xref>), Juan et al. (<xref ref-type="bibr" rid="B78">78</xref>), Li et al. (<xref ref-type="bibr" rid="B89">89</xref>), Liao et al. (<xref ref-type="bibr" rid="B90">90</xref>), Liu et al. (<xref ref-type="bibr" rid="B92">92</xref>), Matsuishi et al. (<xref ref-type="bibr" rid="B103">103</xref>), Romero et al. (<xref ref-type="bibr" rid="B117">117</xref>), Rossi et al. (<xref ref-type="bibr" rid="B118">118</xref>), Sahin et al. (<xref ref-type="bibr" rid="B121">121</xref>), Shahrour and Dardas (<xref ref-type="bibr" rid="B123">123</xref>), Song et al. (<xref ref-type="bibr" rid="B127">127</xref>), Sun et al. (<xref ref-type="bibr" rid="B131">131</xref>), Tam et al. (<xref ref-type="bibr" rid="B134">134</xref>), Tang et al. (<xref ref-type="bibr" rid="B157">157</xref>), Verma et al. (<xref ref-type="bibr" rid="B144">144</xref>), Xing et al. (<xref ref-type="bibr" rid="B149">149</xref>), Y&#x000F6;r&#x000FC;k and G&#x000FC;ler (<xref ref-type="bibr" rid="B153">153</xref>), Youssef et al. (<xref ref-type="bibr" rid="B154">154</xref>)</td>
<td valign="top" align="left">Caillet et al. (<xref ref-type="bibr" rid="B40">40</xref>), Han et al. (<xref ref-type="bibr" rid="B66">66</xref>), Leng et al. (<xref ref-type="bibr" rid="B86">86</xref>), Liu et al. (<xref ref-type="bibr" rid="B95">95</xref>), Master et al. (<xref ref-type="bibr" rid="B102">102</xref>), Prasad et al. (<xref ref-type="bibr" rid="B114">114</xref>), Saricam (<xref ref-type="bibr" rid="B122">122</xref>), Sun et al. (<xref ref-type="bibr" rid="B132">132</xref>)</td>
<td valign="top" align="left">Arshad et al. (<xref ref-type="bibr" rid="B29">29</xref>), Blekas et al. (<xref ref-type="bibr" rid="B36">36</xref>), Cai et al. (<xref ref-type="bibr" rid="B38">38</xref>), Chen et al. (<xref ref-type="bibr" rid="B47">47</xref>), Chen et al. (<xref ref-type="bibr" rid="B45">45</xref>), Chew et al. (<xref ref-type="bibr" rid="B48">48</xref>), Chong et al. (<xref ref-type="bibr" rid="B13">13</xref>), Dobson et al. (<xref ref-type="bibr" rid="B53">53</xref>), Elkholy et al. (<xref ref-type="bibr" rid="B56">56</xref>), Hu et al. (<xref ref-type="bibr" rid="B72">72</xref>), Kim and Choi (<xref ref-type="bibr" rid="B81">81</xref>), Kim et al. (<xref ref-type="bibr" rid="B82">82</xref>), Lee et al. (<xref ref-type="bibr" rid="B85">85</xref>), Li et al. (<xref ref-type="bibr" rid="B88">88</xref>), Liu et al. (<xref ref-type="bibr" rid="B93">93</xref>), Liu et al. (<xref ref-type="bibr" rid="B94">94</xref>), Magnavita et al. (<xref ref-type="bibr" rid="B98">98</xref>), Maraqa et al. (<xref ref-type="bibr" rid="B99">99</xref>), Mart&#x000ED;nez-L&#x000F3;pez et al. (<xref ref-type="bibr" rid="B100">100</xref>), Marton et al. (<xref ref-type="bibr" rid="B101">101</xref>), Podder et al. (<xref ref-type="bibr" rid="B111">111</xref>), Pouralizadeh et al. (<xref ref-type="bibr" rid="B113">113</xref>), Rodriguez-Men&#x000E9;ndez et al. (<xref ref-type="bibr" rid="B116">116</xref>), Si et al. (<xref ref-type="bibr" rid="B125">125</xref>), Styra et al. (<xref ref-type="bibr" rid="B130">130</xref>), Tselebis et al. (<xref ref-type="bibr" rid="B139">139</xref>), Tu et al. (<xref ref-type="bibr" rid="B140">140</xref>), Uyaroglu et al. (<xref ref-type="bibr" rid="B141">141</xref>), Vagni et al. (<xref ref-type="bibr" rid="B142">142</xref>), Xiong et al. (<xref ref-type="bibr" rid="B150">150</xref>), Yao et al. (<xref ref-type="bibr" rid="B151">151</xref>), Yin et al. (<xref ref-type="bibr" rid="B152">152</xref>), Zhang et al. (<xref ref-type="bibr" rid="B156">156</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Female sex</td>
<td valign="top" align="left">Abdulah and Mohammed (<xref ref-type="bibr" rid="B23">23</xref>), Alan et al. (<xref ref-type="bibr" rid="B27">27</xref>), Arafa et al. (<xref ref-type="bibr" rid="B28">28</xref>), Arshad et al. (<xref ref-type="bibr" rid="B29">29</xref>), Azoulay et al. (<xref ref-type="bibr" rid="B30">30</xref>), Babore et al. (<xref ref-type="bibr" rid="B31">31</xref>), Badahdah et al. (<xref ref-type="bibr" rid="B32">32</xref>), Bettinsoli et al. (<xref ref-type="bibr" rid="B35">35</xref>), Blekas et al. (<xref ref-type="bibr" rid="B36">36</xref>), Bukhari et al. (<xref ref-type="bibr" rid="B37">37</xref>), Caillet et al. (<xref ref-type="bibr" rid="B40">40</xref>), Chen et al. (<xref ref-type="bibr" rid="B46">46</xref>), Chong et al. (<xref ref-type="bibr" rid="B13">13</xref>), Civantos et al. (<xref ref-type="bibr" rid="B49">49</xref>), Cunill et al. (<xref ref-type="bibr" rid="B50">50</xref>), Demirjian et al. (<xref ref-type="bibr" rid="B51">51</xref>), Elbay et al. (<xref ref-type="bibr" rid="B54">54</xref>), Elkholy et al. (<xref ref-type="bibr" rid="B56">56</xref>), Erquicia et al. (<xref ref-type="bibr" rid="B57">57</xref>), Giardino et al. (<xref ref-type="bibr" rid="B61">61</xref>), Guisti et al. (<xref ref-type="bibr" rid="B62">62</xref>), Gupta et al. (<xref ref-type="bibr" rid="B65">65</xref>), Han et al. (<xref ref-type="bibr" rid="B66">66</xref>), Hasan et al. (<xref ref-type="bibr" rid="B67">67</xref>), Holton et al. (<xref ref-type="bibr" rid="B69">69</xref>), Hosseinzadeh-Shanjani et al. (<xref ref-type="bibr" rid="B71">71</xref>), Hu et al. (<xref ref-type="bibr" rid="B72">72</xref>), Huang et al. (<xref ref-type="bibr" rid="B73">73</xref>), Jain et al. (<xref ref-type="bibr" rid="B75">75</xref>), Jo et al. (<xref ref-type="bibr" rid="B77">77</xref>), Juan et al. (<xref ref-type="bibr" rid="B78">78</xref>), Lai et al. (<xref ref-type="bibr" rid="B84">84</xref>), Lee et al. (<xref ref-type="bibr" rid="B85">85</xref>), Liao et al. (<xref ref-type="bibr" rid="B90">90</xref>), Liu et al. (<xref ref-type="bibr" rid="B93">93</xref>), Magnavita et al. (<xref ref-type="bibr" rid="B98">98</xref>), Matsuishi et al. (<xref ref-type="bibr" rid="B103">103</xref>), Podder et al. (<xref ref-type="bibr" rid="B111">111</xref>), Pouralizadeh et al. (<xref ref-type="bibr" rid="B113">113</xref>), Rodriguez-Men&#x000E9;ndez et al. (<xref ref-type="bibr" rid="B116">116</xref>), Rossi et al. (<xref ref-type="bibr" rid="B118">118</xref>), Ruiz-Fern&#x000E1;ndez et al. (<xref ref-type="bibr" rid="B119">119</xref>), Sahin et al. (<xref ref-type="bibr" rid="B121">121</xref>), Sun et al. (<xref ref-type="bibr" rid="B132">132</xref>), Surrati et al. (<xref ref-type="bibr" rid="B133">133</xref>), Tam et al. (<xref ref-type="bibr" rid="B134">134</xref>), Tang et al. (<xref ref-type="bibr" rid="B157">157</xref>), Sagaon-Teyssieret al. (<xref ref-type="bibr" rid="B120">120</xref>), Tselebis et al. (<xref ref-type="bibr" rid="B139">139</xref>), Uyaroglu et al. (<xref ref-type="bibr" rid="B141">141</xref>), Vagni et al. (<xref ref-type="bibr" rid="B142">142</xref>), Wang et al. (<xref ref-type="bibr" rid="B145">145</xref>), Wilson et al. (<xref ref-type="bibr" rid="B147">147</xref>), Yao et al. (<xref ref-type="bibr" rid="B151">151</xref>), Yin et al. (<xref ref-type="bibr" rid="B152">152</xref>), Youssef et al. (<xref ref-type="bibr" rid="B154">154</xref>), Zhang et al. (<xref ref-type="bibr" rid="B155">155</xref>), Zhang et al. (<xref ref-type="bibr" rid="B156">156</xref>)</td>
<td valign="top" align="left">Song et al. (<xref ref-type="bibr" rid="B127">127</xref>), Liu et al. (<xref ref-type="bibr" rid="B95">95</xref>), Veeraraghavan and Srinivasan (<xref ref-type="bibr" rid="B143">143</xref>)</td>
<td valign="top" align="left">Aksoy and Ko&#x000E7;ak (<xref ref-type="bibr" rid="B25">25</xref>), Al Mahyijari et al. (<xref ref-type="bibr" rid="B26">26</xref>), Barello et al. (<xref ref-type="bibr" rid="B33">33</xref>), Cai et al. (<xref ref-type="bibr" rid="B38">38</xref>), Chatterjee et al. (<xref ref-type="bibr" rid="B42">42</xref>), Chen et al. (<xref ref-type="bibr" rid="B47">47</xref>), Chen et al. (<xref ref-type="bibr" rid="B45">45</xref>), Chew et al. (<xref ref-type="bibr" rid="B48">48</xref>), Elhadi et al. (<xref ref-type="bibr" rid="B55">55</xref>), Elkholy et al. (<xref ref-type="bibr" rid="B56">56</xref>), Kim and Choi (<xref ref-type="bibr" rid="B81">81</xref>), Kim et al. (<xref ref-type="bibr" rid="B82">82</xref>), Lai et al. (<xref ref-type="bibr" rid="B84">84</xref>), Leng et al. (<xref ref-type="bibr" rid="B86">86</xref>), Li et al. (<xref ref-type="bibr" rid="B88">88</xref>), Liu et al. (<xref ref-type="bibr" rid="B92">92</xref>), Liu et al. (<xref ref-type="bibr" rid="B94">94</xref>), Maraqa et al. (<xref ref-type="bibr" rid="B99">99</xref>), Mart&#x000ED;nez-L&#x000F3;pez et al. (<xref ref-type="bibr" rid="B100">100</xref>), Master et al. (<xref ref-type="bibr" rid="B102">102</xref>), Mo et al. (<xref ref-type="bibr" rid="B105">105</xref>), Que et al. (<xref ref-type="bibr" rid="B115">115</xref>), Saricam (<xref ref-type="bibr" rid="B122">122</xref>), Shahrour and Dardas (<xref ref-type="bibr" rid="B123">123</xref>), Si et al. (<xref ref-type="bibr" rid="B125">125</xref>), Styra et al. (<xref ref-type="bibr" rid="B130">130</xref>), Sun et al. (<xref ref-type="bibr" rid="B132">132</xref>), Tan et al. (<xref ref-type="bibr" rid="B135">135</xref>), Wang et al. (<xref ref-type="bibr" rid="B146">146</xref>), Xiong et al. (<xref ref-type="bibr" rid="B150">150</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Marital status&#x02014;married with children</td>
<td valign="top" align="left">Koh et al. (<xref ref-type="bibr" rid="B83">83</xref>), Erquicia et al. (<xref ref-type="bibr" rid="B57">57</xref>), Han et al. (<xref ref-type="bibr" rid="B66">66</xref>), Holton et al. (<xref ref-type="bibr" rid="B69">69</xref>), Hu et al. (<xref ref-type="bibr" rid="B72">72</xref>), Saricam (<xref ref-type="bibr" rid="B122">122</xref>)</td>
<td valign="top" align="left">Elbay et al. (<xref ref-type="bibr" rid="B54">54</xref>)</td>
<td valign="top" align="left">Alan et al. (<xref ref-type="bibr" rid="B27">27</xref>), Babore et al. (<xref ref-type="bibr" rid="B31">31</xref>), Bettinsoli et al. (<xref ref-type="bibr" rid="B35">35</xref>), Cai et al. (<xref ref-type="bibr" rid="B38">38</xref>), Maraqa et al. (<xref ref-type="bibr" rid="B99">99</xref>), Mo et al. (<xref ref-type="bibr" rid="B105">105</xref>), Mosheva et al. (<xref ref-type="bibr" rid="B106">106</xref>), Pouralizadeh et al. (<xref ref-type="bibr" rid="B113">113</xref>), Sun et al. (<xref ref-type="bibr" rid="B132">132</xref>), Uyaroglu et al. (<xref ref-type="bibr" rid="B141">141</xref>), Xing et al. (<xref ref-type="bibr" rid="B149">149</xref>), Y&#x000F6;r&#x000FC;k and G&#x000FC;ler (<xref ref-type="bibr" rid="B153">153</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Marital status&#x02014;single vs. married</td>
<td valign="top" align="left">Azoulay et al. (<xref ref-type="bibr" rid="B30">30</xref>), Chan and Huak (<xref ref-type="bibr" rid="B41">41</xref>), Elbay et al. (<xref ref-type="bibr" rid="B54">54</xref>), Gupta et al. (<xref ref-type="bibr" rid="B65">65</xref>), Hong et al. (<xref ref-type="bibr" rid="B70">70</xref>), Huang et al. (<xref ref-type="bibr" rid="B73">73</xref>), Liu et al. (<xref ref-type="bibr" rid="B95">95</xref>), Podder et al. (<xref ref-type="bibr" rid="B111">111</xref>), Song et al. (<xref ref-type="bibr" rid="B127">127</xref>), Sorokin et al. (<xref ref-type="bibr" rid="B128">128</xref>), Sun et al. (<xref ref-type="bibr" rid="B131">131</xref>), Yao et al. (<xref ref-type="bibr" rid="B151">151</xref>), Youssef et al. (<xref ref-type="bibr" rid="B154">154</xref>)</td>
<td valign="top" align="left">Han et al. (<xref ref-type="bibr" rid="B66">66</xref>), Jain et al. (<xref ref-type="bibr" rid="B75">75</xref>), Li et al. (<xref ref-type="bibr" rid="B89">89</xref>), Liu et al. (<xref ref-type="bibr" rid="B94">94</xref>)</td>
<td valign="top" align="left">Babore et al. (<xref ref-type="bibr" rid="B31">31</xref>), Badahdah et al. (<xref ref-type="bibr" rid="B32">32</xref>), Bettinsoli et al. (<xref ref-type="bibr" rid="B35">35</xref>), Cai et al. (<xref ref-type="bibr" rid="B38">38</xref>), Chen et al. (<xref ref-type="bibr" rid="B47">47</xref>), Chong et al. (<xref ref-type="bibr" rid="B13">13</xref>), Elhadi et al. (<xref ref-type="bibr" rid="B55">55</xref>), Gupta et al. (<xref ref-type="bibr" rid="B65">65</xref>), Hasan et al. (<xref ref-type="bibr" rid="B67">67</xref>), Hosseinzadeh-Shanjani et al. (<xref ref-type="bibr" rid="B71">71</xref>), Hu et al. (<xref ref-type="bibr" rid="B72">72</xref>), Juan et al. (<xref ref-type="bibr" rid="B78">78</xref>), Kim and Choi (<xref ref-type="bibr" rid="B81">81</xref>), Kim et al. (<xref ref-type="bibr" rid="B82">82</xref>), Koh et al. (<xref ref-type="bibr" rid="B83">83</xref>), Leng et al. (<xref ref-type="bibr" rid="B86">86</xref>), Liao et al. (<xref ref-type="bibr" rid="B90">90</xref>), Liu et al. (<xref ref-type="bibr" rid="B93">93</xref>),</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">Maraqa et al. (<xref ref-type="bibr" rid="B99">99</xref>), Master et al. (<xref ref-type="bibr" rid="B102">102</xref>), Mo et al. (<xref ref-type="bibr" rid="B105">105</xref>), Park et al. (<xref ref-type="bibr" rid="B108">108</xref>), Pouralizadeh et al. (<xref ref-type="bibr" rid="B113">113</xref>), Ruiz-Fern&#x000E1;ndez et al. (<xref ref-type="bibr" rid="B119">119</xref>), Saricam (<xref ref-type="bibr" rid="B122">122</xref>), Si et al. (<xref ref-type="bibr" rid="B125">125</xref>), Styra et al. (<xref ref-type="bibr" rid="B130">130</xref>), Sun et al. (<xref ref-type="bibr" rid="B132">132</xref>), Sagaon-Teyssieret al. (<xref ref-type="bibr" rid="B120">120</xref>), Tu et al. (<xref ref-type="bibr" rid="B140">140</xref>), Uyaroglu et al. (<xref ref-type="bibr" rid="B141">141</xref>), Wang et al. (<xref ref-type="bibr" rid="B145">145</xref>), Xing et al. (<xref ref-type="bibr" rid="B149">149</xref>), Y&#x000F6;r&#x000FC;k and G&#x000FC;ler (<xref ref-type="bibr" rid="B153">153</xref>), Zhang et al. (<xref ref-type="bibr" rid="B156">156</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Higher education level</td>
<td valign="top" align="left">Sun et al. (<xref ref-type="bibr" rid="B131">131</xref>), Tan et al. (<xref ref-type="bibr" rid="B135">135</xref>), Youssef et al. (<xref ref-type="bibr" rid="B154">154</xref>)</td>
<td valign="top" align="left">Alan et al. (<xref ref-type="bibr" rid="B27">27</xref>), Han et al. (<xref ref-type="bibr" rid="B66">66</xref>), Hong et al. (<xref ref-type="bibr" rid="B70">70</xref>), Ji et al. (<xref ref-type="bibr" rid="B76">76</xref>), Kim and Choi (<xref ref-type="bibr" rid="B81">81</xref>), Li et al. (<xref ref-type="bibr" rid="B89">89</xref>), Liu et al. (<xref ref-type="bibr" rid="B94">94</xref>), Xing et al. (<xref ref-type="bibr" rid="B149">149</xref>), Yao et al. (<xref ref-type="bibr" rid="B151">151</xref>)</td>
<td valign="top" align="left">Cai et al. (<xref ref-type="bibr" rid="B38">38</xref>), Chen et al. (<xref ref-type="bibr" rid="B47">47</xref>), Hasan et al. (<xref ref-type="bibr" rid="B67">67</xref>), Hosseinzadeh-Shanjani et al. (<xref ref-type="bibr" rid="B71">71</xref>), Hu et al. (<xref ref-type="bibr" rid="B72">72</xref>), Juan et al. (<xref ref-type="bibr" rid="B78">78</xref>), Kim et al. (<xref ref-type="bibr" rid="B82">82</xref>), Leng et al. (<xref ref-type="bibr" rid="B86">86</xref>), Liu et al. (<xref ref-type="bibr" rid="B93">93</xref>) Liu et al. (<xref ref-type="bibr" rid="B92">92</xref>), Liu et al. (<xref ref-type="bibr" rid="B95">95</xref>), Master et al. (<xref ref-type="bibr" rid="B102">102</xref>), Mo et al. (<xref ref-type="bibr" rid="B105">105</xref>), Pouralizadeh et al. (<xref ref-type="bibr" rid="B113">113</xref>), Si et al. (<xref ref-type="bibr" rid="B125">125</xref>), Tu et al. (<xref ref-type="bibr" rid="B140">140</xref>), Wang et al. (<xref ref-type="bibr" rid="B145">145</xref>), Wang et al. (<xref ref-type="bibr" rid="B146">146</xref>), Xiong et al. (<xref ref-type="bibr" rid="B150">150</xref>), Yin et al. (<xref ref-type="bibr" rid="B152">152</xref>), Y&#x000F6;r&#x000FC;k and G&#x000FC;ler (<xref ref-type="bibr" rid="B153">153</xref>), Zhang et al. (<xref ref-type="bibr" rid="B156">156</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Fixed&#x02014;Occupational</bold></td>
</tr>
<tr>
<td valign="top" align="left">Nurse vs. physician</td>
<td valign="top" align="left">Alan et al. (<xref ref-type="bibr" rid="B27">27</xref>), Barello et al. (<xref ref-type="bibr" rid="B33">33</xref>), Bates et al. (<xref ref-type="bibr" rid="B34">34</xref>), Bettinsoli et al. (<xref ref-type="bibr" rid="B35">35</xref>), Chong et al. (<xref ref-type="bibr" rid="B13">13</xref>), Cunill et al. (<xref ref-type="bibr" rid="B50">50</xref>), Guisti et al. (<xref ref-type="bibr" rid="B62">62</xref>), Goulia et al. (<xref ref-type="bibr" rid="B63">63</xref>), Gupta et al. (<xref ref-type="bibr" rid="B65">65</xref>), Holton et al. (<xref ref-type="bibr" rid="B69">69</xref>), Jo et al. (<xref ref-type="bibr" rid="B77">77</xref>), Koh et al. (<xref ref-type="bibr" rid="B83">83</xref>), Lai et al. (<xref ref-type="bibr" rid="B84">84</xref>), Lee et al. (<xref ref-type="bibr" rid="B85">85</xref>), Liu et al. (<xref ref-type="bibr" rid="B94">94</xref>), Mart&#x000ED;nez-L&#x000F3;pez et al. (<xref ref-type="bibr" rid="B100">100</xref>), Matsuishi et al. (<xref ref-type="bibr" rid="B103">103</xref>), Maunder et al. (<xref ref-type="bibr" rid="B104">104</xref>), Nickell et al. (<xref ref-type="bibr" rid="B107">107</xref>), Park et al. (<xref ref-type="bibr" rid="B109">109</xref>), Phua et al. (<xref ref-type="bibr" rid="B110">110</xref>), Prasad et al. (<xref ref-type="bibr" rid="B114">114</xref>), Poon et al. (<xref ref-type="bibr" rid="B112">112</xref>), Shechter et al. (<xref ref-type="bibr" rid="B124">124</xref>), Si et al. (<xref ref-type="bibr" rid="B125">125</xref>), Song et al. (<xref ref-type="bibr" rid="B127">127</xref>), Tam et al. (<xref ref-type="bibr" rid="B134">134</xref>), Tan et al. (<xref ref-type="bibr" rid="B135">135</xref>), Tang et al. (<xref ref-type="bibr" rid="B157">157</xref>), Vagni et al. (<xref ref-type="bibr" rid="B142">142</xref>), Wong et al. (<xref ref-type="bibr" rid="B148">148</xref>), Xing et al. (<xref ref-type="bibr" rid="B149">149</xref>), Yao et al. (<xref ref-type="bibr" rid="B151">151</xref>), Zhang et al. (<xref ref-type="bibr" rid="B156">156</xref>)</td>
<td valign="top" align="left">Chan and Huak (<xref ref-type="bibr" rid="B41">41</xref>), Chong et al. (<xref ref-type="bibr" rid="B13">13</xref>), Liu et al. (<xref ref-type="bibr" rid="B95">95</xref>), Ruiz-Fern&#x000E1;ndez et al. (<xref ref-type="bibr" rid="B119">119</xref>), Sorokin et al. (<xref ref-type="bibr" rid="B128">128</xref>)</td>
<td valign="top" align="left">Al Mahyijari et al. (<xref ref-type="bibr" rid="B26">26</xref>), Badahdah et al. (<xref ref-type="bibr" rid="B32">32</xref>), Cai et al. (<xref ref-type="bibr" rid="B38">38</xref>), Caillet et al. (<xref ref-type="bibr" rid="B40">40</xref>), Chen et al. (<xref ref-type="bibr" rid="B47">47</xref>), Chen, et al. (<xref ref-type="bibr" rid="B45">45</xref>), Giardino et al. (<xref ref-type="bibr" rid="B61">61</xref>), Juan et al. (<xref ref-type="bibr" rid="B78">78</xref>), Liu et al. (<xref ref-type="bibr" rid="B93">93</xref>), Maraqa et al. (<xref ref-type="bibr" rid="B99">99</xref>), Rodriguez-Men&#x000E9;ndez et al. (<xref ref-type="bibr" rid="B116">116</xref>), Rossi et al. (<xref ref-type="bibr" rid="B118">118</xref>), Sun et al. (<xref ref-type="bibr" rid="B132">132</xref>), Surrati et al. (<xref ref-type="bibr" rid="B133">133</xref>), Wang et al. (<xref ref-type="bibr" rid="B146">146</xref>), Yin et al. (<xref ref-type="bibr" rid="B152">152</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Less work experience</td>
<td valign="top" align="left">Abdulah and Mohammed (<xref ref-type="bibr" rid="B23">23</xref>), Arafa et al. (<xref ref-type="bibr" rid="B28">28</xref>), Chatterjee et al. (<xref ref-type="bibr" rid="B42">42</xref>), Chong et al. (<xref ref-type="bibr" rid="B13">13</xref>), Elbay et al. (<xref ref-type="bibr" rid="B54">54</xref>), Elhadi et al. (<xref ref-type="bibr" rid="B55">55</xref>), Gupta et al. (<xref ref-type="bibr" rid="B65">65</xref>), Holton et al. (<xref ref-type="bibr" rid="B69">69</xref>), Li et al. (<xref ref-type="bibr" rid="B89">89</xref>), Maunder et al. (<xref ref-type="bibr" rid="B14">14</xref>), Song et al. (<xref ref-type="bibr" rid="B127">127</xref>), Youssef et al. (<xref ref-type="bibr" rid="B154">154</xref>)</td>
<td valign="top" align="left">Sahin et al. (<xref ref-type="bibr" rid="B121">121</xref>), Saricam (<xref ref-type="bibr" rid="B122">122</xref>)</td>
<td valign="top" align="left">Cai et al. (<xref ref-type="bibr" rid="B38">38</xref>), Dobson et al. (<xref ref-type="bibr" rid="B53">53</xref>), Garc&#x000ED;a-Fern&#x000E1;ndez et al. (<xref ref-type="bibr" rid="B60">60</xref>), Hu et al. (<xref ref-type="bibr" rid="B72">72</xref>), Kim and Choi (<xref ref-type="bibr" rid="B81">81</xref>), Kim et al. (<xref ref-type="bibr" rid="B82">82</xref>), Koh et al. (<xref ref-type="bibr" rid="B83">83</xref>), Leng et al. (<xref ref-type="bibr" rid="B86">86</xref>), Liu et al. (<xref ref-type="bibr" rid="B94">94</xref>), Maraqa et al. (<xref ref-type="bibr" rid="B99">99</xref>), Marton et al. (<xref ref-type="bibr" rid="B101">101</xref>), Master et al. (<xref ref-type="bibr" rid="B102">102</xref>), Park et al. (<xref ref-type="bibr" rid="B108">108</xref>), Pouralizadeh et al. (<xref ref-type="bibr" rid="B113">113</xref>), Styra et al. (<xref ref-type="bibr" rid="B130">130</xref>), Sun et al. (<xref ref-type="bibr" rid="B132">132</xref>), Tselebis et al. (<xref ref-type="bibr" rid="B139">139</xref>), Tu et al. (<xref ref-type="bibr" rid="B140">140</xref>), Wang et al. (<xref ref-type="bibr" rid="B146">146</xref>), Xiong et al. (<xref ref-type="bibr" rid="B150">150</xref>), Y&#x000F6;r&#x000FC;k and G&#x000FC;ler (<xref ref-type="bibr" rid="B153">153</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Part-time work status</td>
<td valign="top" align="left">Nickell et al. (<xref ref-type="bibr" rid="B107">107</xref>)</td>
<td/>
<td valign="top" align="left">Ruiz-Fern&#x000E1;ndez et al. (<xref ref-type="bibr" rid="B119">119</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Modifiable&#x02014;Social</bold></td>
</tr>
<tr>
<td valign="top" align="left">Social support&#x02014;personal</td>
<td/>
<td valign="top" align="left">Arafa et al. (<xref ref-type="bibr" rid="B28">28</xref>), Babore et al. (<xref ref-type="bibr" rid="B31">31</xref>), Cai et al. (<xref ref-type="bibr" rid="B39">39</xref>), Cai et al. (<xref ref-type="bibr" rid="B38">38</xref>), Chen et al. (<xref ref-type="bibr" rid="B44">44</xref>), Guisti et al. (<xref ref-type="bibr" rid="B62">62</xref>), Hong et al. (<xref ref-type="bibr" rid="B70">70</xref>), Hu et al. (<xref ref-type="bibr" rid="B72">72</xref>), Juan et al. (<xref ref-type="bibr" rid="B78">78</xref>), Kim and Choi (<xref ref-type="bibr" rid="B81">81</xref>), Li et al. (<xref ref-type="bibr" rid="B88">88</xref>), Liao et al. (<xref ref-type="bibr" rid="B90">90</xref>), Liu et al. (<xref ref-type="bibr" rid="B94">94</xref>), Master et al. (<xref ref-type="bibr" rid="B102">102</xref>), Song et al. (<xref ref-type="bibr" rid="B127">127</xref>), Tam et al. (<xref ref-type="bibr" rid="B134">134</xref>), Tselebis et al. (<xref ref-type="bibr" rid="B139">139</xref>), Xiao et al. (<xref ref-type="bibr" rid="B10">10</xref>), Zhang et al. (<xref ref-type="bibr" rid="B156">156</xref>)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Social support&#x02014;professional/organizational</td>
<td/>
<td valign="top" align="left">Ahmed et al. (<xref ref-type="bibr" rid="B24">24</xref>), Arafa et al. (<xref ref-type="bibr" rid="B28">28</xref>), Chan and Huak (<xref ref-type="bibr" rid="B41">41</xref>), Elbay et al. (<xref ref-type="bibr" rid="B54">54</xref>), Fiksenbaum et al. (<xref ref-type="bibr" rid="B59">59</xref>), Hong et al. (<xref ref-type="bibr" rid="B70">70</xref>), Jung et al. (<xref ref-type="bibr" rid="B79">79</xref>), Khattak et al. (<xref ref-type="bibr" rid="B80">80</xref>), Li et al. (<xref ref-type="bibr" rid="B88">88</xref>), Maraqa et al. (<xref ref-type="bibr" rid="B99">99</xref>), Rodriguez-Men&#x000E9;ndez et al. (<xref ref-type="bibr" rid="B116">116</xref>)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Adequate information</td>
<td/>
<td valign="top" align="left">Chan and Huak (<xref ref-type="bibr" rid="B41">41</xref>), Garc&#x000ED;a-Fern&#x000E1;ndez et al. (<xref ref-type="bibr" rid="B60">60</xref>), Goulia et al. (<xref ref-type="bibr" rid="B63">63</xref>), Maraqa et al. (<xref ref-type="bibr" rid="B99">99</xref>), Rodriguez-Men&#x000E9;ndez et al. (<xref ref-type="bibr" rid="B116">116</xref>), Styra et al. (<xref ref-type="bibr" rid="B130">130</xref>), Vagni et al. (<xref ref-type="bibr" rid="B142">142</xref>)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Stigma</td>
<td valign="top" align="left">Elhadi et al. (<xref ref-type="bibr" rid="B55">55</xref>), Goulia et al. (<xref ref-type="bibr" rid="B63">63</xref>), Juan et al. (<xref ref-type="bibr" rid="B78">78</xref>), Koh et al. (<xref ref-type="bibr" rid="B83">83</xref>), Master et al. (<xref ref-type="bibr" rid="B102">102</xref>), Maunder et al. (<xref ref-type="bibr" rid="B104">104</xref>), Maunder et al. (<xref ref-type="bibr" rid="B14">14</xref>), Park et al. (<xref ref-type="bibr" rid="B108">108</xref>), Park et al. (<xref ref-type="bibr" rid="B109">109</xref>), Rodriguez-Men&#x000E9;ndez et al. (<xref ref-type="bibr" rid="B116">116</xref>), Teksin et al. (<xref ref-type="bibr" rid="B138">138</xref>), Verma et al. (<xref ref-type="bibr" rid="B144">144</xref>)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Modifiable&#x02014;Psychological</bold></td>
</tr>
<tr>
<td valign="top" align="left">Perceived control</td>
<td/>
<td valign="top" align="left">Bettinsoli et al. (<xref ref-type="bibr" rid="B35">35</xref>), Fauzi et al. (<xref ref-type="bibr" rid="B58">58</xref>), Ho et al. (<xref ref-type="bibr" rid="B68">68</xref>), Hu et al. (<xref ref-type="bibr" rid="B72">72</xref>), Liao et al. (<xref ref-type="bibr" rid="B90">90</xref>), Marton et al. (<xref ref-type="bibr" rid="B101">101</xref>), Mo et al. (<xref ref-type="bibr" rid="B105">105</xref>), Shahrour and Dardas (<xref ref-type="bibr" rid="B123">123</xref>), Xiao et al. (<xref ref-type="bibr" rid="B10">10</xref>), Xiong et al. (<xref ref-type="bibr" rid="B150">150</xref>)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Loss of control and perceived risk</td>
<td valign="top" align="left">Son et al. (<xref ref-type="bibr" rid="B126">126</xref>), Styra et al. (<xref ref-type="bibr" rid="B130">130</xref>), Wong et al. (<xref ref-type="bibr" rid="B148">148</xref>)</td>
<td/>
<td valign="top" align="left">Hong et al. (<xref ref-type="bibr" rid="B70">70</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Adaptive coping styles and ability</td>
<td/>
<td valign="top" align="left">Bettinsoli et al. (<xref ref-type="bibr" rid="B35">35</xref>), Chen et al. (<xref ref-type="bibr" rid="B47">47</xref>), Chen et al. (<xref ref-type="bibr" rid="B45">45</xref>), Fauzi et al. (<xref ref-type="bibr" rid="B58">58</xref>), Huffman et al. (<xref ref-type="bibr" rid="B74">74</xref>), Lin et al. (<xref ref-type="bibr" rid="B91">91</xref>), Master et al. (<xref ref-type="bibr" rid="B102">102</xref>), Vagni et al. (<xref ref-type="bibr" rid="B142">142</xref>), Wang et al. (<xref ref-type="bibr" rid="B145">145</xref>)</td>
<td valign="top" align="left">Babore et al. (<xref ref-type="bibr" rid="B31">31</xref>), Son et al. (<xref ref-type="bibr" rid="B126">126</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Maladaptive coping styles</td>
<td valign="top" align="left">Babore et al. (<xref ref-type="bibr" rid="B31">31</xref>), Chen et al. (<xref ref-type="bibr" rid="B47">47</xref>), Chen et al. (<xref ref-type="bibr" rid="B45">45</xref>), Lin et al. (<xref ref-type="bibr" rid="B91">91</xref>), Master et al. (<xref ref-type="bibr" rid="B102">102</xref>), Maunder et al. (<xref ref-type="bibr" rid="B14">14</xref>), Phua et al. (<xref ref-type="bibr" rid="B110">110</xref>), Wang et al. (<xref ref-type="bibr" rid="B145">145</xref>)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Positive work attitudes</td>
<td/>
<td valign="top" align="left">Babore et al. (<xref ref-type="bibr" rid="B31">31</xref>), Chan and Huak (<xref ref-type="bibr" rid="B41">41</xref>), Goulia et al. (<xref ref-type="bibr" rid="B63">63</xref>), Liu et al. (<xref ref-type="bibr" rid="B92">92</xref>), Tan et al. (<xref ref-type="bibr" rid="B135">135</xref>), Wang et al. (<xref ref-type="bibr" rid="B145">145</xref>)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Adaptive personality traits</td>
<td/>
<td valign="top" align="left">Cai et al. (<xref ref-type="bibr" rid="B38">38</xref>), Chen et al. (<xref ref-type="bibr" rid="B47">47</xref>), Dobson et al. (<xref ref-type="bibr" rid="B53">53</xref>), Hu et al. (<xref ref-type="bibr" rid="B72">72</xref>), Li et al. (<xref ref-type="bibr" rid="B89">89</xref>), Lin et al. (<xref ref-type="bibr" rid="B91">91</xref>), Mosheva et al. (<xref ref-type="bibr" rid="B106">106</xref>), Park et al. (<xref ref-type="bibr" rid="B108">108</xref>), Y&#x000F6;r&#x000FC;k and G&#x000FC;ler (<xref ref-type="bibr" rid="B153">153</xref>)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Maladaptive personality traits</td>
<td valign="top" align="left">Lu et al. (<xref ref-type="bibr" rid="B96">96</xref>), Maunder et al. (<xref ref-type="bibr" rid="B14">14</xref>), Yi-Ching et al. (<xref ref-type="bibr" rid="B96">96</xref>)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Factors related to infection exposure</bold></td>
</tr>
<tr>
<td valign="top" align="left">Exposure to confirmed infected cases</td>
<td valign="top" align="left">Aksoy and Ko&#x000E7;ak (<xref ref-type="bibr" rid="B25">25</xref>), Alan et al. (<xref ref-type="bibr" rid="B27">27</xref>), Babore et al. (<xref ref-type="bibr" rid="B31">31</xref>), Badahdah et al. (<xref ref-type="bibr" rid="B32">32</xref>), Bettinsoli et al. (<xref ref-type="bibr" rid="B35">35</xref>), Chen et al. (<xref ref-type="bibr" rid="B47">47</xref>), Chen et al. (<xref ref-type="bibr" rid="B46">46</xref>), Chong et al. (<xref ref-type="bibr" rid="B13">13</xref>), Di Tella et al. (<xref ref-type="bibr" rid="B52">52</xref>), Erquicia et al. (<xref ref-type="bibr" rid="B57">57</xref>), Fiksenbaum et al. (<xref ref-type="bibr" rid="B59">59</xref>), Grace et al. (<xref ref-type="bibr" rid="B64">64</xref>), Giardino et al. (<xref ref-type="bibr" rid="B61">61</xref>), Guisti et al. (<xref ref-type="bibr" rid="B62">62</xref>), Han et al. (<xref ref-type="bibr" rid="B66">66</xref>), Hasan et al. (<xref ref-type="bibr" rid="B67">67</xref>), Holton et al. (<xref ref-type="bibr" rid="B69">69</xref>), Jain et al. (<xref ref-type="bibr" rid="B75">75</xref>), Juan et al. (<xref ref-type="bibr" rid="B78">78</xref>), Kim and Choi (<xref ref-type="bibr" rid="B81">81</xref>), Koh et al. (<xref ref-type="bibr" rid="B83">83</xref>), Lai et al. (<xref ref-type="bibr" rid="B84">84</xref>), Li et al. (<xref ref-type="bibr" rid="B87">87</xref>), Li et al. (<xref ref-type="bibr" rid="B89">89</xref>), Liu et al. (<xref ref-type="bibr" rid="B92">92</xref>), Liu</td>
<td/>
<td valign="top" align="left">Bukhari et al. (<xref ref-type="bibr" rid="B37">37</xref>), Maraqa et al. (<xref ref-type="bibr" rid="B99">99</xref>), Maunder et al. (<xref ref-type="bibr" rid="B14">14</xref>), Sun et al. (<xref ref-type="bibr" rid="B132">132</xref>), Tselebis et al. (<xref ref-type="bibr" rid="B139">139</xref>), Veeraraghavan and Srinivasan (<xref ref-type="bibr" rid="B143">143</xref>), Xiong et al. (<xref ref-type="bibr" rid="B150">150</xref>)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Liu et al. (<xref ref-type="bibr" rid="B93">93</xref>), Liu et al. (<xref ref-type="bibr" rid="B95">95</xref>), Lu et al. (<xref ref-type="bibr" rid="B97">97</xref>), Magnavita et al. (<xref ref-type="bibr" rid="B98">98</xref>), Maraqa et al. (<xref ref-type="bibr" rid="B99">99</xref>), Maunder et al. (<xref ref-type="bibr" rid="B104">104</xref>), Mo et al. (<xref ref-type="bibr" rid="B105">105</xref>), Park et al. (<xref ref-type="bibr" rid="B109">109</xref>), Poon et al. (<xref ref-type="bibr" rid="B112">112</xref>), Rossi et al. (<xref ref-type="bibr" rid="B118">118</xref>), Stojanov et al. (<xref ref-type="bibr" rid="B129">129</xref>), Sun et al. (<xref ref-type="bibr" rid="B131">131</xref>), Surrati et al. (<xref ref-type="bibr" rid="B133">133</xref>), Tam et al. (<xref ref-type="bibr" rid="B134">134</xref>), Tang et al. (<xref ref-type="bibr" rid="B136">136</xref>), Teshome et al. (<xref ref-type="bibr" rid="B137">137</xref>), Verma et al. (<xref ref-type="bibr" rid="B144">144</xref>), Xing et al. (<xref ref-type="bibr" rid="B149">149</xref>), Yin et al. (<xref ref-type="bibr" rid="B152">152</xref>), Y&#x000F6;r&#x000FC;k and G&#x000FC;ler (<xref ref-type="bibr" rid="B153">153</xref>)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Increased risk of exposure to confirmed infected cases</td>
<td valign="top" align="left">Bukhari et al. (<xref ref-type="bibr" rid="B37">37</xref>), Caillet et al. (<xref ref-type="bibr" rid="B40">40</xref>), Chatterjee et al. (<xref ref-type="bibr" rid="B42">42</xref>), Chen et al. (<xref ref-type="bibr" rid="B43">43</xref>), Chen et al. (<xref ref-type="bibr" rid="B45">45</xref>), Elbay et al. (<xref ref-type="bibr" rid="B54">54</xref>), Hu et al. (<xref ref-type="bibr" rid="B72">72</xref>), Lee et al. (<xref ref-type="bibr" rid="B85">85</xref>), Liao et al. (<xref ref-type="bibr" rid="B90">90</xref>), Liu et al. (<xref ref-type="bibr" rid="B95">95</xref>), Matsuishi et al. (<xref ref-type="bibr" rid="B103">103</xref>), McAlonan et al. (<xref ref-type="bibr" rid="B16">16</xref>), Pouralizadeh et al. (<xref ref-type="bibr" rid="B113">113</xref>), Ruiz-Fern&#x000E1;ndez et al. (<xref ref-type="bibr" rid="B119">119</xref>), Sahin et al. (<xref ref-type="bibr" rid="B121">121</xref>), Saricam (<xref ref-type="bibr" rid="B122">122</xref>), Si et al. (<xref ref-type="bibr" rid="B125">125</xref>), Sorokin et al. (<xref ref-type="bibr" rid="B128">128</xref>), Styra et al. (<xref ref-type="bibr" rid="B130">130</xref>), Que et al. (<xref ref-type="bibr" rid="B115">115</xref>), Wang et al. (<xref ref-type="bibr" rid="B146">146</xref>), Yao et al. (<xref ref-type="bibr" rid="B151">151</xref>), Zhang et al. (<xref ref-type="bibr" rid="B155">155</xref>), Zhang et al. (<xref ref-type="bibr" rid="B156">156</xref>)</td>
<td/>
<td valign="top" align="left">Dobson et al. (<xref ref-type="bibr" rid="B53">53</xref>), Liu et al. (<xref ref-type="bibr" rid="B94">94</xref>), Sun et al. (<xref ref-type="bibr" rid="B132">132</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Colleagues being infected, quarantined, deceased</td>
<td valign="top" align="left">Rossi et al. (<xref ref-type="bibr" rid="B118">118</xref>)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Being in quarantine</td>
<td valign="top" align="left">Fiksenbaum et al. (<xref ref-type="bibr" rid="B59">59</xref>), Liu et al. (<xref ref-type="bibr" rid="B92">92</xref>), Maunder et al. (<xref ref-type="bibr" rid="B14">14</xref>), Sun et al. (<xref ref-type="bibr" rid="B132">132</xref>)</td>
<td/>
<td valign="top" align="left">Juan et al. (<xref ref-type="bibr" rid="B78">78</xref>), Lee et al. (<xref ref-type="bibr" rid="B85">85</xref>), Park et al. (<xref ref-type="bibr" rid="B109">109</xref>), Si et al. (<xref ref-type="bibr" rid="B125">125</xref>), Zhang et al. (<xref ref-type="bibr" rid="B156">156</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Hospital resources, protection, training</td>
<td/>
<td valign="top" align="left">Chen et al. (<xref ref-type="bibr" rid="B44">44</xref>), Demirjian et al. (<xref ref-type="bibr" rid="B51">51</xref>), Elbay et al. (<xref ref-type="bibr" rid="B54">54</xref>), Garc&#x000ED;a-Fern&#x000E1;ndez et al. (<xref ref-type="bibr" rid="B60">60</xref>), Gupta et al. (<xref ref-type="bibr" rid="B65">65</xref>), Hu et al. (<xref ref-type="bibr" rid="B72">72</xref>), Huffman et al. (<xref ref-type="bibr" rid="B74">74</xref>), Jain et al. (<xref ref-type="bibr" rid="B75">75</xref>), Kim and Choi (<xref ref-type="bibr" rid="B81">81</xref>), Maraqa et al. (<xref ref-type="bibr" rid="B99">99</xref>), Mart&#x000ED;nez-L&#x000F3;pez et al. (<xref ref-type="bibr" rid="B100">100</xref>), Master et al. (<xref ref-type="bibr" rid="B102">102</xref>), Mosheva et al. (<xref ref-type="bibr" rid="B106">106</xref>), Pouralizadeh et al. (<xref ref-type="bibr" rid="B113">113</xref>), Surrati et al. (<xref ref-type="bibr" rid="B133">133</xref>), Tam et al. (<xref ref-type="bibr" rid="B134">134</xref>), Tang et al. (<xref ref-type="bibr" rid="B136">136</xref>), Sagaon-Teyssier et al. (<xref ref-type="bibr" rid="B120">120</xref>), Vagni et al. (<xref ref-type="bibr" rid="B142">142</xref>)</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<p>Ninety studies tested sex as a possible risk factor for distress among HCW during an outbreak (<xref ref-type="table" rid="T2">Table 2</xref>), with all but 33 finding that being female was associated with higher risk for psychological distress. Notably, the 57 studies that found that female sex was a significant risk factor spanned six different infectious diseases (MERS, SARS, COVID-19, H1N1, H7N9, and SARS), suggesting that being a female HCW increases vulnerability for distress more generally when working during an infectious outbreak. Notably, among the studies 30 studies that did not find that being female created significant risk for distress, eleven (36.6%) were conducted with nurses and included predominantly female participants (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B79">79</xref>, <xref ref-type="bibr" rid="B80">80</xref>, <xref ref-type="bibr" rid="B89">89</xref>, <xref ref-type="bibr" rid="B108">108</xref>, <xref ref-type="bibr" rid="B140">140</xref>, <xref ref-type="bibr" rid="B153">153</xref>).</p>
<p>Of the 69 studies that examined marital status as a risk or resilience factor for psychological distress, 19 found evidence to suggest this as a risk factor (<xref ref-type="table" rid="T2">Table 2</xref>). For example, two studies of HCW during the SARS outbreak found that HCW who were single were 1.4 times more likely to experience psychological distress than married HCW (<xref ref-type="bibr" rid="B41">41</xref>), and more likely to have sever depressive symptoms 3 years later (<xref ref-type="bibr" rid="B92">92</xref>). Similarly, HCW during the COVID-19 outbreak who were single experienced higher levels of distress than those who were married (<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B111">111</xref>, <xref ref-type="bibr" rid="B122">122</xref>, <xref ref-type="bibr" rid="B126">126</xref>). Conversely, four studies conducted during COVID-19 found that being married was a risk factor for greater distress (<xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B89">89</xref>, <xref ref-type="bibr" rid="B94">94</xref>), and two studies found that married HCW with children reported greater stress than single HCW or those who were married without children (<xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B83">83</xref>). Forty-seven other studies conducted during the SARS, MERS, and COVID-19 outbreaks found no associations between HCW marital status and distress (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<p>Thirty-three studies examined education levels in association with distress. Only eight studies, six conducted during the COVID-19 pandemic (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B89">89</xref>, <xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B149">149</xref>, <xref ref-type="bibr" rid="B151">151</xref>), along with studies conducted during the Ebola outbreak (<xref ref-type="bibr" rid="B76">76</xref>), and the MERS outbreak (<xref ref-type="bibr" rid="B81">81</xref>) found that HCW with higher educational levels reported significantly lower psychological distress. Twenty-two studies found that education level was not predictive of psychological distress among HCW working during the MERS or the COVID-19 outbreaks (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
</sec>
<sec>
<title>Occupational Factors</title>
<p>Thirty-four studies examined and found evidence that the HCW occupational role created risk for psychological distress while working during the SARS, H1N1, MERS, and COVID-19 outbreaks (<xref ref-type="table" rid="T2">Table 2</xref>). In all but 16 studies, being a nurse was associated with a range of mental health issues, including higher stress, burnout, anxiety, depression, PTSD symptoms, psychiatric morbidity, and psychological distress compared to being a physician or other HCW (see <xref ref-type="table" rid="T1">Tables 1</xref>, <xref ref-type="table" rid="T2">2</xref>). The extent to which nurses experienced greater psychological distress whilst working during an outbreak was estimated in several studies. For example, nurses were 1.2 (<xref ref-type="bibr" rid="B83">83</xref>), 1.4 (<xref ref-type="bibr" rid="B124">124</xref>), 2.2 (<xref ref-type="bibr" rid="B63">63</xref>), and 2.8 (<xref ref-type="bibr" rid="B107">107</xref>) times more likely to be at risk for poor mental health. In contrast, five studies found that physicians (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B97">97</xref>, <xref ref-type="bibr" rid="B119">119</xref>, <xref ref-type="bibr" rid="B128">128</xref>) and technicians (<xref ref-type="bibr" rid="B41">41</xref>) were more likely to experience distress while working during the COVID-19 pandemic and the SARS outbreak. Sixteen studies conducted during the COVID-19 outbreak did not find that occupational role was a risk factor for distress (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<p>Other occupational factors examined included years of work experience, and full-time vs. part-time status. Twelve of the 35 studies found evidence to suggest that less work experience may create risk (<xref ref-type="table" rid="T2">Table 2</xref>). HCW who had worked for &#x0003C;2 years experienced significantly greater stress than those with more work experience in a large sample of HCW during the SARS pandemic (<xref ref-type="bibr" rid="B13">13</xref>). In HCW during the SARS outbreak, those with &#x0003C;10 years of experience reported higher levels of psychological distress, but not burnout or post-traumatic stress, 13&#x02013;26 months after the outbreak (<xref ref-type="bibr" rid="B14">14</xref>). HCW who had less clinical experience were also more likely to experience stress during the COVID-19 outbreak (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B154">154</xref>). Years of clinical experience was not associated with PTSD symptoms, acute stress or anxiety, depression, mental health status, or burnout in 21 other studies (<xref ref-type="table" rid="T2">Table 2</xref>). Two studies found that less work experience was protective against distress for HCW during COVID-19 (<xref ref-type="bibr" rid="B121">121</xref>, <xref ref-type="bibr" rid="B122">122</xref>). Lastly, in one study, part-time worker status was a significant predictor of greater emotional distress in HCW during the SARS outbreak (<xref ref-type="bibr" rid="B107">107</xref>), whereas another study found no evidence of part-time work status creating risk for distress in HCW during COVID-19 (<xref ref-type="bibr" rid="B119">119</xref>).</p>
</sec>
<sec>
<title>Social Factors</title>
<p>A number of social and interpersonal factors mitigated or contributed to psychological distress. Receiving direct social support from friends, family, colleagues and supervisors was a key protective factor in all of the 19 studies that examined its association with psychological distress (<xref ref-type="table" rid="T2">Table 2</xref>). For example, in HCW during the COVID-19 outbreak, higher levels of social support were associated with significantly lower levels of stress, depression, anxiety, depression and PTSD (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B78">78</xref>, <xref ref-type="bibr" rid="B88">88</xref>, <xref ref-type="bibr" rid="B90">90</xref>, <xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B102">102</xref>, <xref ref-type="bibr" rid="B139">139</xref>, <xref ref-type="bibr" rid="B156">156</xref>). These findings were consistent with that of a study of frontline medical staff during the COVID-19 outbreak who reported that a positive attitude from co-workers was important for reducing their distress (<xref ref-type="bibr" rid="B39">39</xref>). Analogously, emergency nurses working during MERS outbreak who reported poor support from family and friends experienced higher levels of burnout (<xref ref-type="bibr" rid="B81">81</xref>). Similarly, studies of HCW during the SARS outbreak found that higher levels of family support were associated with lower depression and anxiety whereas inadequate support from relatives, lack of gratitude from patients and relatives, and perceiving less of a team spirit at work was associated with higher levels of psychological distress (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B134">134</xref>).</p>
<p>Organizational support was an important factor in buffering psychological distress of HCW during an outbreak in all 11 studies that examined this factor. In nurses working during the SARS outbreak in Canada, higher perceived organizational support in the form of receiving positive performance feedback from doctors and co-workers, was associated with lower perceptions of SARS-related threat and reduced feelings of emotional exhaustion (<xref ref-type="bibr" rid="B59">59</xref>). Similarly, nurses, physicians, and HCW working during the MERS, COVID-19, and SARS outbreaks who perceived support from their supervisors and colleagues, experienced better mental health in the form of lower PTSD symptoms, lower distress, and being less likely to develop psychiatric symptoms, respectively (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B79">79</xref>, <xref ref-type="bibr" rid="B80">80</xref>, <xref ref-type="bibr" rid="B88">88</xref>, <xref ref-type="bibr" rid="B99">99</xref>, <xref ref-type="bibr" rid="B116">116</xref>).</p>
<p>Seven studies examined receiving useful information from others (a common form of social support). In one study, HCW who received adequate communication and information about the H1N1 outbreak from their organization were less likely to experience psychiatric symptoms because it helped them cope better, and worry less about the pandemic (<xref ref-type="bibr" rid="B63">63</xref>). Similarly, HCW during the SARS outbreak who had confidence in the information they received from their organization (<xref ref-type="bibr" rid="B130">130</xref>), and who received clear communication about directives and how to take precautionary measures (<xref ref-type="bibr" rid="B41">41</xref>), experienced reduced psychological distress. HCW working during the COVID-19 outbreak who felt that they did not receive sufficient information, scored significantly higher on anxiety and acute stress than those who were satisfied with the information provided (<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B99">99</xref>, <xref ref-type="bibr" rid="B116">116</xref>, <xref ref-type="bibr" rid="B142">142</xref>).</p>
<p>Negative social perceptions created risk for poor mental health for HCW in all 12 studies that examined this factor. In nurses during the MERS outbreak, perceived social stigma was associated with higher stress and poorer mental health (<xref ref-type="bibr" rid="B108">108</xref>). Similarly, during the COVID-19 pandemic, HCW who felt stigmatized, perceived stigma concerning negative public attitudes and disclosing about one&#x00027;s work, experienced higher levels of depression, anxiety, and psychological distress (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B78">78</xref>, <xref ref-type="bibr" rid="B102">102</xref>, <xref ref-type="bibr" rid="B108">108</xref>, <xref ref-type="bibr" rid="B109">109</xref>, <xref ref-type="bibr" rid="B116">116</xref>, <xref ref-type="bibr" rid="B138">138</xref>). During the SARS outbreak, HCW who felt people avoided their family because of their job were twice as likely to have elevated levels of post-traumatic stress symptoms (<xref ref-type="bibr" rid="B83">83</xref>). Importantly, experiencing stigma and avoidance from others was significantly associated with higher levels of post-traumatic stress symptoms during the SARS outbreak (<xref ref-type="bibr" rid="B104">104</xref>), and 13&#x02013;26 months later (<xref ref-type="bibr" rid="B14">14</xref>).</p>
</sec>
<sec>
<title>Psychological Factors</title>
<p>The psychological factors examined in the studies included adaptive and maladaptive coping responses, beliefs and attitudes, and personality traits. Fourteen studies examined how perceptions of control were associated with distress among HCW (<xref ref-type="table" rid="T2">Table 2</xref>). In eight studies, higher self-efficacy was associated with lower anxiety, depression, distress, and lower levels of fear about SARS and post-traumatic stress symptoms during the COVID-19 and SARS outbreaks, respectively (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B90">90</xref>, <xref ref-type="bibr" rid="B105">105</xref>, <xref ref-type="bibr" rid="B123">123</xref>, <xref ref-type="bibr" rid="B150">150</xref>). Conversely, feeling a loss of control was associated with greater distress (<xref ref-type="bibr" rid="B148">148</xref>) during the SARS outbreak in Hong Kong. Analogously, appraisals of personal risk were linked to higher levels of PTSD symptoms in HCW during the MERS (<xref ref-type="bibr" rid="B126">126</xref>) and SARS (<xref ref-type="bibr" rid="B130">130</xref>) outbreaks. Only one study conducted with nurses during COVID-19 did not find evidence that risk appraisals were linked to greater distress (<xref ref-type="bibr" rid="B70">70</xref>).</p>
<p>Positive attitudes toward one&#x00027;s work were protective against distress in all six studies that examined this factor. Higher work satisfaction was associated with less psychological distress among hospital staff during the H1N1 outbreak (<xref ref-type="bibr" rid="B63">63</xref>), lower PTSD among nurses (<xref ref-type="bibr" rid="B145">145</xref>), and lower rates of burnout among HCW during the COVID-19 outbreak. Similarly, HCW during the SARS outbreak who felt their work had become more important were less likely to develop psychiatric symptoms (<xref ref-type="bibr" rid="B41">41</xref>), and those who viewed their work altruistically were less likely to have severe symptoms of depression 3 years later (<xref ref-type="bibr" rid="B92">92</xref>). HCW who held a positive attitude toward their work reported less stress during the peak of the COVID-19 outbreak (<xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>Seventeen studies examined whether coping styles were associated with HCW distress during an outbreak (<xref ref-type="table" rid="T2">Table 2</xref>). Emergency physicians and nurses working during the SARS outbreak who used denial, mental disengagement, or venting of emotions to cope were more likely to score higher on psychiatric morbidity (<xref ref-type="bibr" rid="B110">110</xref>). Similar results were found in frontline nurses during COVID-19, with use of negative coping associated with higher PTSD and psychological distress (<xref ref-type="bibr" rid="B102">102</xref>), and positive coping linked to lower PTSD (<xref ref-type="bibr" rid="B145">145</xref>). In HCW during the SARS outbreak, those who used maladaptive coping strategies, such as escape-avoidance, and self-blame coping, reported higher levels of burnout, psychological distress, and post-traumatic stress when surveyed 13&#x02013;26 months after the outbreak (<xref ref-type="bibr" rid="B14">14</xref>). However, the use of adaptive strategies, such as problem-solving and positive reappraisal, were not associated with any of the distress outcomes. This finding was consistent with those from studies in which coping ability was not significantly associated with PTSD symptoms during the MERS outbreak (<xref ref-type="bibr" rid="B126">126</xref>), and problem-solving and turning to religion to cope were not associated with reduced distress during COVID-19 (<xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>Twelve studies investigated the role of personality in HCW&#x00027;s psychological distress (<xref ref-type="table" rid="T2">Table 2</xref>). During the SARS outbreak, neuroticism was linked to poorer mental health (<xref ref-type="bibr" rid="B96">96</xref>), and HCW who had an anxious attachment style reported experiencing higher burnout, psychological distress, and post-traumatic stress 13&#x02013;26 months after the outbreak (<xref ref-type="bibr" rid="B14">14</xref>). Those with an avoidant attachment style reported greater distress, but not burnout or post-traumatic stress. Eight studies examined the role of dispositional resilience. Among nurses working during the MERS outbreak, higher levels of hardiness were associated with lower stress and better mental health (<xref ref-type="bibr" rid="B108">108</xref>), and resilience was associated with lower anxiety, depression, post-traumatic stress symptoms, and burnout among frontline nurses and HCW during COVID-19 (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B74">74</xref>, <xref ref-type="bibr" rid="B89">89</xref>, <xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B153">153</xref>).</p>
</sec>
<sec>
<title>Factors Related to Infection Exposure</title>
<p>Fifty-three studies examined the impact of direct contact with infected patients on HCW&#x00027;s psychological distress. Of these, the majority (<xref ref-type="bibr" rid="B65">65</xref>) found that being in direct contact with and/or treating patients infected with COVID-19, SARS, MERS, or H7N9 was a risk factor for psychological distress (<xref ref-type="table" rid="T2">Table 2</xref>). Only eight studies did not find that contact with infected patients increased risk for distress in HCW during the COVID-19, SARS, and MERS outbreaks. Similarly, 24 studies found that risk of contact with infected patients due to working in high-risk areas (e.g., ICU, isolation areas and infection units) was associated with higher levels of anxiety, stress, and post-traumatic stress symptoms than not working in such areas (<xref ref-type="table" rid="T2">Table 2</xref>). Notably, one study found that HCW in a high-risk unit during SARS reported higher and sustained perceived stress 1 year after the outbreak compared to those in low-risk units, with those in low-risk units reporting a decrease in stress over time, but those in high-risk units experiencing an increase in stress post-outbreak (<xref ref-type="bibr" rid="B16">16</xref>). Three studies conducted during COVID-19 found that risk of contact was not associated with greater distress (<xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B132">132</xref>). Spending time in quarantine due to risk of being infected was associated with higher levels of burnout, depression, and psychological distress in HCW during SARS and COVID-19 (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B132">132</xref>), but was unrelated to post-traumatic stress symptoms and psychological distress in HCW during the MERS outbreak or the COVID-19 outbreak (<xref ref-type="bibr" rid="B78">78</xref>, <xref ref-type="bibr" rid="B85">85</xref>, <xref ref-type="bibr" rid="B109">109</xref>, <xref ref-type="bibr" rid="B125">125</xref>, <xref ref-type="bibr" rid="B156">156</xref>). Lastly, one study found that HCW who had colleagues who became infected, had deceased due to infection, or had been quarantined, also experienced higher levels of post-traumatic stress symptoms and acute stress during the COVID-19 outbreak (<xref ref-type="bibr" rid="B118">118</xref>).</p>
<p>Provision of adequate training, protection, and other resources to manage and reduce risk of infection was associated with less psychological distress in all 19 studies that examined this factor (<xref ref-type="table" rid="T2">Table 2</xref>). Receiving clear infection control guidelines predicted lower psychological morbidity in frontline HCW during SARS (<xref ref-type="bibr" rid="B134">134</xref>), and having sufficient hospital resources for the treatment of MERS was associated with lower MERS-related burnout (<xref ref-type="bibr" rid="B81">81</xref>). After the implementation of a SARS protection training program, HCW experienced significant decreases in anxiety and depression 2 weeks and 1 month after the starting the program (<xref ref-type="bibr" rid="B44">44</xref>). Similarly, medical staff receiving inadequate training related to managing H7N9 had higher PTSD symptoms than those who received appropriate training (<xref ref-type="bibr" rid="B81">81</xref>). During COVID-19, HCW who felt HCW who felt that they did not have adequate information, training, personal protective equipment (PPE), felt unsafe, and perceived lower logistic support, reported higher levels of depression, anxiety, and acute stress symptoms (<xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B74">74</xref>, <xref ref-type="bibr" rid="B99">99</xref>, <xref ref-type="bibr" rid="B100">100</xref>, <xref ref-type="bibr" rid="B102">102</xref>, <xref ref-type="bibr" rid="B106">106</xref>, <xref ref-type="bibr" rid="B120">120</xref>, <xref ref-type="bibr" rid="B142">142</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>To our knowledge, this rapid systematic review of 139 samples of 143,246 HCW working during an infectious outbreak is the largest and most up to date review of the evidence on the factors that contribute to risk or resilience to psychological distress. In this review we introduced a conceptual framework that categorized the factors contributing to increased and reduced risk of psychological distress among HCW during an infectious disease outbreak into three main categories, including factors that were fixed, modifiable, and related to infection exposure. The majority of the studies reviewed examined the role of fixed factors (demographic and occupational), with fewer studies examining how modifiable factors (social and psychological) were associated with psychological distress in HCW working during an outbreak.</p>
<p>For the fixed factors, the weight of the evidence indicated that HCW who were female or a nurse were at significant risk for psychological distress (<xref ref-type="fig" rid="F2">Figure 2</xref>). Nurses tend to tend to be predominantly female, have higher workloads (<xref ref-type="bibr" rid="B104">104</xref>), and have more patient contact than other HCW. Indeed, we found that over 36 percent of the studies that found no significant relationship between being female and increased psychological distress involved only nurses.</p>
<p>There was also clear and consistent evidence that HCW who had or were at risk for contact with infected patients, were more likely to experience psychological distress (<xref ref-type="fig" rid="F3">Figure 3</xref>). Worry about becoming infected is a key stressor for HCW in the context of an outbreak as risk of infection has implications not only for their own health but also for that of their families (<xref ref-type="bibr" rid="B83">83</xref>). Evidence also indicated that being in quarantine contributes to distress, perhaps due to being isolated from the team (<xref ref-type="bibr" rid="B158">158</xref>), and that vicariously experiencing these risks can be detrimental for HCW mental health (<xref ref-type="bibr" rid="B118">118</xref>).</p>
<p>Although relatively fewer studies investigated modifiable factors (<xref ref-type="fig" rid="F2">Figure 2</xref>), the evidence highlighted key target areas to reduce HCW distress. It is also worth noting that the findings from the studies examining the role of social and psychological factors were extremely consistent. This lends confidence to the suggestion that these factors are important targets for intervention to reduce distress and bolster resilience. Stigmatizing attitudes from the public toward HCW were consistently associated with greater distress across the studies reviewed. Although stigma can be effectively reduced through social contact with those who experience stigmatization (<xref ref-type="bibr" rid="B159">159</xref>), this approach may not be practical or advisable during an outbreak. Instead, public health campaigns that deliver accurate messages and highlight facts to reduce the fears underlying stigma (<xref ref-type="bibr" rid="B160">160</xref>), counteracting the climate of fear cultivated through the media which can promote stigma during an infectious outbreak (<xref ref-type="bibr" rid="B161">161</xref>) could assist.</p>
<p>The evidence was unanimous in indicating that perceiving social support was associated with lower distress. Adequate social support is a resilience factor that is well-known to be effective reducing stress across a number of stressful situations (<xref ref-type="bibr" rid="B162">162</xref>), and is equally important for reducing stress among HCW (<xref ref-type="bibr" rid="B163">163</xref>). This support can come from supervisors and co-workers (<xref ref-type="bibr" rid="B164">164</xref>), either formally or informally, through positive performance feedback (<xref ref-type="bibr" rid="B59">59</xref>), and positive attitudes, and through peer support groups. Organizational social support may be especially important to fill the gap when personal social support may be sparse because regular social support sources are struggling with their own distress during an outbreak. Such support can also foster positive work attitudes and satisfaction (<xref ref-type="bibr" rid="B165">165</xref>), which were associated with lower distress.</p>
<p>The evidence reviewed was also consistent in indicating that harmful coping strategies linked to greater distress, and positive coping strategies were protective for distress. Interventions that target harmful coping strategies, such as avoidance and self-blame, that can that may maintain or increase stress, may be worthwhile. Identifying when HCW may be using such strategies and finding ways to foster more positive approaches for managing stress are important for not only for reducing distress, but also for reducing the risk of other adverse health consequences. For example, HCW who experienced post-traumatic stress during the SARS outbreak and used harmful coping were at greater risk for substance abuse (<xref ref-type="bibr" rid="B166">166</xref>). Mental health check-ups are one approach that could help monitor both HCW distress and whether appropriate coping strategies are being used (<xref ref-type="bibr" rid="B167">167</xref>).</p>
<p>In keeping with evidence that low perceived control is a transdiagnostic vulnerability factor for anxiety (<xref ref-type="bibr" rid="B168">168</xref>), perceptions of control were consistently associated with lower distress in the evidence reviewed. Indeed, having a sense of control is a well-known factor for reducing health-related distress (<xref ref-type="bibr" rid="B162">162</xref>). Feeling a loss of control may be inevitable during an infectious outbreak, as perceptions of risk are inversely related to perceived control (<xref ref-type="bibr" rid="B169">169</xref>). However, interventions focused on increasing a sense of autonomy can be effective for reducing distress in HCW during times of upheaval (<xref ref-type="bibr" rid="B170">170</xref>). The evidence reviewed suggests that this might be accomplished at the organizational level by providing HCW with the resources needed to manage the risk of infection. For example, providing personal protective equipment (PPE), adequate training, and clear guidelines, information, and protocols for infection control are important, because having such resources is linked to lower distress. This conclusion is consistent with research that found that access to information and provision of needed resources increased a sense of empowerment among ICU nurses (<xref ref-type="bibr" rid="B171">171</xref>).</p>
<p>Adaptive personality traits consistently linked to better mental health outcomes in HCW working during an outbreak. Dispositional resilience was examined in the majority of the studies reviewed, with hardiness examined in one study. Dispositional resilience can be conceptualized in several different ways, including as a personal quality reflecting the capacity to cope, or as type of hardiness (<xref ref-type="bibr" rid="B172">172</xref>). When conceptualized as the former, resilience involves being flexible to change, managing unpleasant emotions, and not getting discouraged (<xref ref-type="bibr" rid="B173">173</xref>). Although personality traits are often viewed as being relatively stable, personality can also be viewed as reflecting personal qualities and tendencies that are expressed to a greater or lesser degree, and are therefore amenable to change (<xref ref-type="bibr" rid="B174">174</xref>). From this perspective, approaches that help HCW develop a tendency to use resilient coping skills may help reduce vulnerability to psychological distress during an outbreak.</p>
<sec>
<title>Limitations and Strengths</title>
<p>There are several limitations of this rapid systematic review. Conducting the review during the ongoing outbreak of COVID-19 imposed time constraints. This meant that we only included published peer-reviewed literature and did not search more thoroughly through gray literature or online pre-print repositories. Most study samples were quite large, increasing confidence in the generalisability of the findings.</p>
<p>In terms of the evidence base, the majority of the studies were cross-sectional, providing only a snapshot of the factors associated with HCW psychological distress. This limits conclusions about the direction of causality between the factors and distress, especially for those factors that are modifiable. Only three studies examined the potential long-term effects of the risk and resilience factors on HCW&#x00027;s mental health by using follow-up and time-lagged designs (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B92">92</xref>), providing some support for the assumed contribution of the factors to distress. More research needs to track the associations of risk/resilience factors over time with distress and the extent to which certain factors link to sustained or transient distress.</p>
<p>The majority of the studies were conducted during COVID-19, with relatively fewer studies reporting results from other infectious outbreaks such as SARS, MERS, H1N1, H7N9, and Ebola. On the one hand, this could be viewed as a limitation on the generalisability of the findings from the predominant outbreak, COVID-19, to other infectious outbreaks. On the other hand, we would argue that the consistency of the findings for a number of factors including participant sex, being a nurse, all 10 of the social and psychological factors, four of the five infection exposure factors, demonstrate that findings are likely to be generalizable across infectious outbreaks for these factors.</p>
<p>Although a number of studies investigated fixed factors and infection-related factors, relatively fewer studies examined how modifiable factors linked to distress (<xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref>). There is a need for more research focusing on these factors to provide a more solid evidence base about potential targets for clinical intervention and treatment. A handful of studies used unvalidated measures of psychological distress, raising concerns about whether the findings would be the same had validated measures been used. For those studies that used validated measures, the ways in which cut-off scores for caseness were calculated, and/or the ways in classification of symptoms met thresholds for psychological distress, undoubtedly varied between measurement instruments. This likely introduced some variance into the results.</p>
<p>Few studies considered potential confounders in the associations with distress, compared found associations in matched non-HCW samples, or the extent to which the factors were predictive of distress outside of an outbreak. As well, the results extracted from the studies reflect a mix of bivariate and multivariate associations, as not all studies reported the bivariate only findings, which would be more comparable for making comparisons. Studies that examined the factors in multivariate analyses often used different covariates making it difficult to draw equitable conclusions from the studies. It is therefore difficult to assess the degree to which certain factors may independently predict psychological distress over and above other factors. Collectively, these limitations may have contributed to the equivocal findings noted for several of the factors reviewed.</p>
<p>Several strengths of the Review balance these limitations. Conceptually organizing the factors according to risk or resilience and whether they were fixed or modifiable, provided a theoretical framework for identifying who might be at most risk for psychological distress. This facilitates appropriate clinical intervention, and for noting which factors would be suitable targets for potential interventions. We also reported non-significant and contrary findings alongside significant findings to provide a more balanced and critical overview of the evidence. The Review included evidence from across six infectious disease outbreaks, with the majority of the research reporting findings from coronavirus outbreaks&#x02014;Severe Acute Respiratory Syndrome Coronavirus-2 (COVID-19), Severe Acute Respiratory Syndrome-related coronavirus (SARS), and Middle East Respiratory Syndrome-related coronavirus (MERS)&#x02014;that share similarities in their symptom and contagion profiles. Consistent evidence for risk and resilience factors was found across these various infectious diseases, suggesting that the findings from this review may be applicable across different outbreaks. This is relevant for understanding the mental health of HCW in future outbreaks. Lastly, conducting a series of search updates ensured integration of the most recent evidence from the ongoing COVID-19 outbreak into the review at the time of submission.</p>
</sec>
<sec>
<title>Implications and Conclusions</title>
<p>Whereas, other reviews have documented the extent of distress experienced by HCW during an outbreak (<xref ref-type="bibr" rid="B2">2</xref>), the current Review highlights the profiles of HCW most at risk for psychological distress and psychiatric morbidity during an outbreak. This identified modifiable factors that warrant further investigation as possible points of intervention to mitigate distress. Viewing risk and resilience factors from the lens of fixed and modifiable factors provides an efficient and useful approach for understanding who is most at risk and how to address that risk during and after an outbreak. Further research focusing on possible interactions among these factors would be useful to gain a better understanding of both the risk profiles and key modifiable factors, as the evidence reviewed did not consistently examine this area.</p>
<p>There is evidence that the psychological distress from working during an outbreak can persist for 2&#x02013;3 years after the outbreak (<xref ref-type="bibr" rid="B14">14</xref>&#x02013;<xref ref-type="bibr" rid="B16">16</xref>). Therefore, monitoring and providing appropriate support should continue beyond the outbreak period to ensure mental health recovery, especially among HCW who are most at risk. Our findings suggest that particular attention should be paid to female HCW and nurses (regardless of sex), and those who come into contact with infected patients or their environments to ensure that they receive necessary resources and provision of support to manage psychological distress. Proactive approaches at the organizational level can be effective (<xref ref-type="bibr" rid="B164">164</xref>) and may be necessary to help reduce the psychological distress of HCW. For example, a study of HCW during the COVID-19 outbreak in China found that mental health resources and services were mainly used by those experiencing mild and subthreshold levels of psychological distress rather than those who experienced more severe distress (<xref ref-type="bibr" rid="B11">11</xref>). Addressing the mental health needs of HCW with more severe distress will likely require more proactive means from health-care organizations.</p>
<p>There are a number of delivery methods to provide support and help HCW modify risk factors and foster resilience factors. These include telehealth, mobile apps, online toolkits, and peer-support, either in person or virtual (<xref ref-type="bibr" rid="B175">175</xref>). Combining different approaches may also be effective. For example, social support and perceived control can have an additive effect for reducing stress related to job demands (<xref ref-type="bibr" rid="B176">176</xref>). There is also evidence for the effectiveness of interventions for reducing HCW distress when delivered at the person level and organizational level (<xref ref-type="bibr" rid="B164">164</xref>), as well as those that target lifestyle practices (<xref ref-type="bibr" rid="B177">177</xref>, <xref ref-type="bibr" rid="B178">178</xref>).</p>
<p>Evidence from randomized controlled trials suggests that third-wave cognitive behavioral therapeutic approaches, such as mindfulness (<xref ref-type="bibr" rid="B178">178</xref>), gratitude (<xref ref-type="bibr" rid="B177">177</xref>), and self-compassion (<xref ref-type="bibr" rid="B179">179</xref>), are effective for reducing stress and burnout among healthcare professionals, and could be beneficial. In low-resource settings, peer-support is one option that has been shown to be effective for reducing occupational distress in HCW (<xref ref-type="bibr" rid="B164">164</xref>). Raising awareness of the impact of an infectious outbreak on HCW mental health, providing appropriate treatment and therapy, and fostering proactive approaches such as an organizational culture of support (<xref ref-type="bibr" rid="B180">180</xref>), are recommended as possible approaches that can help prepare HCW for future outbreaks and address any persistent, long-term distress following the outbreak.</p>
</sec>
</sec>
<sec sec-type="data-availability-statement" id="s5">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary Material</xref>, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="s6">
<title>Author Contributions</title>
<p>FS and JO designed and conceived the study, searched for evidence, screened and analyzed the data, drafted the work, revised it critically for intellectual content, approved the final piece of work for publication, and agree to be accountable for the work. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<ack><p>An earlier version of this manuscript has been released as a pre-print at medRxiv (<xref ref-type="bibr" rid="B181">181</xref>).</p>
</ack>
<sec sec-type="supplementary-material" id="s7">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpsyt.2020.589545/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpsyt.2020.589545/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.PDF" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Data_Sheet_2.PDF" id="SM2" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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