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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2022.1026712</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The scar that takes time to heal: A systematic review of COVID-19-related stigma targets, antecedents, and outcomes</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zhou</surname> <given-names>Xiang</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/1966756/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Chen</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Yao</surname> <given-names>Yuewei</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/2099395/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Xia</surname> <given-names>Jingtian</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/2106524/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Cao</surname> <given-names>Limei</given-names></name>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Qin</surname> <given-names>Xin</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/560394/overview"/>
</contrib>
</contrib-group>
<aff><institution>Department of Business Administration, Sun Yat-sen University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Samer El Hayek, Erada Center for Treatment and Rehab, United Arab Emirates</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Abdulqadir J. Nashwan, Hamad Medical Corporation, Qatar; Dickson Adom, Kwame Nkrumah University of Science and Technology, Ghana</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Xin Qin <email>qinxin&#x00040;sysu.edu.cn</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Personality and Social Psychology, a section of the journal Frontiers in Psychology</p></fn></author-notes>
<pub-date pub-type="epub">
<day>01</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>1026712</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>08</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>11</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Zhou, Chen, Yao, Xia, Cao and Qin.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Zhou, Chen, Yao, Xia, Cao and Qin</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>COVID-19, as a crucial public health crisis, has affected our lives in nearly every aspect. Besides its major health threats, COVID-19 brings severe secondary impacts, one of which is the rise of social stigma. Although numerous studies have examined the antecedents and outcomes of COVID-19-related stigma, we still lack a systematic understanding of who is being stigmatized during the COVID-19 pandemic, what exacerbates COVID-19-related stigma, and what impacts COVID-19-related stigma has on victims. Therefore, this review aims to provide a systematic overview of COVID-19-related stigma. With 93 papers conducted with 126,371 individuals in more than 150 countries and territories spanning five continents, we identify three targets that have received the most research: Chinese/Asian people, (suspected) patients and survivors, and healthcare workers. Furthermore, we find that for each stigma target, characteristics of the stigmatized, stigmatizer, and context contribute to COVID-19-related stigma and that this stigma negatively influences victims&#x00027; health and non-health outcomes. We call for future research to provide a more integrative, balanced, and rigorous picture of COVID-19-related stigma <italic>via</italic> conducting research on neglected topics (e.g., contextual factors that contribute to stigma toward HCWs) and stigma interventions and using a longitudinal design. In practice, we urge governments and institutions (e.g., ministries of public health, hospitals) to pay close attention to stigma issues and to promote safe and inclusive societies.</p></abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>stigma</kwd>
<kwd>Chinese/Asian people</kwd>
<kwd>patients and survivors</kwd>
<kwd>healthcare workers</kwd>
</kwd-group>
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<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<contract-sponsor id="cn002">Fundamental Research Funds for the Central Universities<named-content content-type="fundref-id">10.13039/501100012226</named-content></contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="126"/>
<page-count count="28"/>
<word-count count="18982"/>
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</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>With more than 510 million cases and 6.23 million deaths worldwide (World Health Organization, <xref ref-type="bibr" rid="B111">2022</xref>), COVID-19 is the largest human disaster since World War II and one of the greatest global public health threats in history (Qin et al., <xref ref-type="bibr" rid="B86">2021</xref>; Wu J. et al., <xref ref-type="bibr" rid="B113">2021</xref>; Robinson et al., <xref ref-type="bibr" rid="B90">2022</xref>). This public health crisis has profound and unprecedented implications for societies and affects nearly every aspect of people&#x00027;s lives globally (Giuntella et al., <xref ref-type="bibr" rid="B31">2021</xref>; Mckeown et al., <xref ref-type="bibr" rid="B72">2021</xref>; Mueller et al., <xref ref-type="bibr" rid="B76">2021</xref>). Besides its major health threats, what is equally important, if not more important in the long run, is the severe secondary impacts of COVID-19, one of which is the rise of social stigma. Social stigma refers to disapproval or discrimination of an individual based on some discrediting attributes that reduce a person from a normal and accepted person to a tainted and undesirable one (Goffman, <xref ref-type="bibr" rid="B32">1963</xref>). Since the COVID-19 outbreak, social stigma has risen dramatically and directed to different targets, which we termed COVID-19-related stigma. For example, news and social media outlets have documented that anti-Asian hate crimes have surged (Timsit, <xref ref-type="bibr" rid="B102">2022</xref>), survivors have been shunned by their friends and neighbors (Harmon, <xref ref-type="bibr" rid="B45">2020</xref>), and healthcare workers have been denied access to community (Yeung and Gupta, <xref ref-type="bibr" rid="B120">2020</xref>). On top of coping with the mounting stress over the spread of COVID-19 and its emerging new variants, stigmatized groups are additionally burdened by anxiety, aggression, and attacks (McKay et al., <xref ref-type="bibr" rid="B71">2020</xref>). This stigma not only violates human rights but also threatens public health and impedes united efforts to combat the pandemic (World Health Organization, <xref ref-type="bibr" rid="B110">2021</xref>).</p>
<p>Global leaders, organizations, and scholars have noticed this societal problem and have called upon the public to stop the stigmatization (Macias, <xref ref-type="bibr" rid="B68">2020</xref>; Nature, <xref ref-type="bibr" rid="B79">2020</xref>). For example, the United Nations International Children&#x00027;s Emergency Fund (UNICEF), the World Health Organization (WHO), and the International Federation of Red Cross and Red Crescent Societies (IFRC) published guidance on universal preventions to address the social stigma related to COVID-19 (UNICEF et al., <xref ref-type="bibr" rid="B104">2020</xref>). Research has also been conducted to understand the detrimental consequences of COVID-19-related stigma and its potential antecedents. However, this documentation has been sporadic and scattered. This lack of a comprehensive understanding of COVID-19-related stigma impedes research on the salient but neglected aspects of the issue and hinders practical efforts to address this social problem. Thus, drawing on past research, we reviewed 93 papers that cover 126,371 individuals from more than 150 countries and territories spanning five continents to provide a holistic picture of COVID-19-related stigma. We aim to answer three questions in this review: Who are stigmatized during the pandemic? What contributes to the stigmatization of these people? What are the consequences for the stigmatized? This review is theoretically important because it synthesizes current findings and provides insights for future research on the COVID-19 stigma issue. Practically, this review could help decision makers in governments and institutions worldwide eliminate stigma and protect vulnerable groups.</p>
<p>Our review makes two primary contributions to the COVID-19 and stigma literature. First, we contribute to COVID-19 research by focusing on the social impacts of the pandemic. While the current literature largely focuses on the diagnostics, treatments, and vaccines for the disease (&#x000C4;lg&#x000E5; et al., <xref ref-type="bibr" rid="B6">2020</xref>; Gupta et al., <xref ref-type="bibr" rid="B37">2021</xref>), our review centers on stigmatized populations during the COVID-19 pandemic. Stigma can be seen as a social virus that could interfere with the containment of COVID-19 (Van Daalen et al., <xref ref-type="bibr" rid="B107">2021</xref>) and may have a profound influence on those stigmatized even after the pandemic ends. By reviewing 93 papers on COVID-19-related stigma, we identify three groups as the main targets of COVID-19-related stigma&#x02014;Chinese/Asian people, (suspected) patients and survivors, and HCWs&#x02014;and provide an overview of these stigmatized groups during the pandemic. Second, for each target of COVID-19-related stigma, we review both the antecedents and outcomes of the stigma. Understanding the antecedents of COVID-19-related stigma is critical for reducing and preventing it as a deeper understanding will enable appropriate remedies for stigmatized groups, and knowledge about the outcomes of this stigma could raise concerns about its alarming effects and unite different social forces to combat this social issue.</p>
<p>In the following sections, we first report our literature review methodology. Next, we discuss the three main stigmatized targets that have emerged in the pandemic. Then, we summarize the antecedents and outcomes for each of the three COVID-19-related stigma targets. Finally, we discuss the findings and provide six suggestions for both research and institutions.</p></sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<p>This systematic review was conducted following the Preferred Reporting Items for Systematic Reviews (PRISMA) recommendations (Page et al., <xref ref-type="bibr" rid="B81">2021</xref>). PRISMA is a comprehensive and most updated reporting protocol that ensures the quality of systematic reviews and is widely accepted in academic journals (e.g., Hammerstein et al., <xref ref-type="bibr" rid="B43">2021</xref>; Lee et al., <xref ref-type="bibr" rid="B57">2022</xref>). Based on PRISMA, we conducted the following processes.</p>
<sec>
<title>Identification of studies</title>
<p>We used Google Scholar to search for the following keywords: &#x0201C;stigma&#x0201D; or &#x0201C;discrimination&#x0201D; combined with &#x0201C;COVID-19&#x0201D; or &#x0201C;coronavirus.&#x0201D; We limited our search to articles published since 2020 because COVID-19 received attention from WHO on the last day of 2019 (World Health Organization, <xref ref-type="bibr" rid="B109">2020</xref>), and we stopped our search on 31 December 2021. In addition, we used the backward reference searching method (i.e., examining the studies cited in the article) to identify potentially relevant studies from review articles on COVID-19-related stigma.</p></sec>
<sec>
<title>Screening and selection of eligible studies</title>
<p>The first, third, and fourth author independently screened the title and abstract of all studies from the initial searches to identify studies that could potentially be included. Then, the third and fourth author read the full text of the selected articles and assessed these articles against the full inclusion and exclusion criteria. Disagreements or ambiguities were resolved through discussion with all authors. The PRISMA diagram in <xref ref-type="fig" rid="F1">Figure 1</xref> depicts this process. To be included in our review, an article had to be (1) written in English, (2) be peer reviewed, (3) be an empirical or review paper, and (4) focus on antecedents or outcomes of COVID-19-related stigma. To reduce publication bias, we include research from difference sources such as peer reviewed journal and conference papers using Google Scholar database (Haddaway et al., <xref ref-type="bibr" rid="B39">2015</xref>). In the end, 93 articles were included in our literature review (please see <xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref> for the full list).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>PRISMA.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-13-1026712-g0001.tif"/>
</fig></sec>
<sec>
<title>Information extraction and coding</title>
<p>We used thematic analysis to synthesize the qualitative data we extracted from the articles (Braun and Clarke, <xref ref-type="bibr" rid="B11">2006</xref>). We carried out three steps for the thematic analysis. First, the first, third, and fourth authors independently coded core topic investigated, antecedents, outcomes, and theory or mechanisms for each article and generated an initial list of codes for antecedents and outcomes for each COVID-19-related stigma targets. We also coded type of research (quantitative vs. qualitative), sample size, country information for each study. Second, the initial codes were combined into potential themes by the first author. Third, the author team reviewed, discussed, refined, and finalized the themes for this review.</p></sec></sec>
<sec id="s3">
<title>Targets of COVID-19-related stigma</title>
<p>Various victims of COVID-19-related stigma have been investigated in the literature. <xref ref-type="fig" rid="F2">Figure 2</xref> depicts all the stigma targets mentioned in the papers we initially reviewed. Following previous approach (Cho et al., <xref ref-type="bibr" rid="B21">2021</xref>), we use two dimensions to categorize these targets: persons as risk (i.e., being perceived as posing risks to others) and persons as responsibility (i.e., being perceived as responsible for the risks). Stigma targets vary in these two dimensions. For example, at this stage where the infected cases are stably increasing, Chinese/Asian people may be perceived as high on persons as responsibility dimension and low on persons as risk dimension, while HCWs may be perceived as low on persons as responsibility dimension and medium on persons as risk dimension. In reviewing these articles, we identified three main groups of stigma targets that have received relatively more research attention in the literature: Chinese/Asian people, (suspected) patients and survivors, and HCWs.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Summary of stigma targets during the COVID-19 pandemic.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-13-1026712-g0002.tif"/>
</fig>
<sec>
<title>Stigma toward Chinese/Asian people</title>
<p>Chinese/Asian people have been frequently investigated as victims of stigma since the COVID-19 pandemic started. We include people from China or of Asian ancestry in this group, such as Wuhan residents, Hubei residents, Chinese citizens, Asian people, overseas Chinese and Asian people, and Asian immigrants. As Wuhan city in Hubei province, China, was the early epicenter of COVID-19 and is presumed to be the location of origin of the disease, Wuhan and Hubei residents, Chinese people, and Asian people have been particularly associated with COVID-19 and have thus become victims of stigma (Liu Y. et al., <xref ref-type="bibr" rid="B65">2020</xref>; Xu et al., <xref ref-type="bibr" rid="B115">2021</xref>).</p>
<p>Chinese/Asian people have encountered stigma at three levels during the COVID-19 pandemic. First, at the structural level, several government officials and institutions have referred to COVID-19 as the &#x0201C;Wuhan virus,&#x0201D; &#x0201C;Chinese Virus,&#x0201D; and &#x0201C;Kung Flu&#x0201D; even though alternative scientific names are available (Dhanani and Franz, <xref ref-type="bibr" rid="B24">2020</xref>). Furthermore, stigma toward Chinese/Asian people has also been reinforced and perpetuated by social media (Duan et al., <xref ref-type="bibr" rid="B26">2020</xref>). In addition, mainstream media outlets fueled stigma toward Chinese/Asian people because they frequently disseminated selective, biased, or incorrect information about COVID-19 (Dhanani and Franz, <xref ref-type="bibr" rid="B24">2020</xref>). Second, at the interpersonal level, Chinese/Asian people have reported experiencing stigma and discrimination in different parts of the world, such as being accused of spreading disease, being treated with less courtesy, and being insulted or harassed [e.g., in France (Wang et al., <xref ref-type="bibr" rid="B108">2020</xref>); in the United States (Yu et al., <xref ref-type="bibr" rid="B121">2020</xref>; Lee and Waters, <xref ref-type="bibr" rid="B58">2021</xref>); and in multiple countries (Ma and Miller, <xref ref-type="bibr" rid="B67">2021</xref>)]. Third, at the intrapersonal level, Chinese/Asian people have internalized stigma and have reported feeling inferior (Fan et al., <xref ref-type="bibr" rid="B29">2021</xref>).</p></sec>
<sec>
<title>Stigma toward (suspected) patients and survivors</title>
<p>The second group of targets of COVID-19-related stigma we identified is (suspected) patients and survivors, including suspected and confirmed COVID-19 patients and people who have recovered from the disease. Many believe these people are at high risk of transmitting the disease, so they tend to be stigmatized after contracting COVID-19.</p>
<p>Stigma toward (suspected) patients and survivors is prevalent at the interpersonal and intrapersonal levels. First, COVID-19 patients suffer from verbal abuse, social isolation, and rejection (Atinga et al., <xref ref-type="bibr" rid="B9">2021</xref>; Lin et al., <xref ref-type="bibr" rid="B60">2021</xref>). These experiences of social stigma even spread to suspected patients (Liu Y. et al., <xref ref-type="bibr" rid="B65">2020</xref>) and can persist into the recovery stage as numerous COVID-19 survivors have reported being excluded and rejected by neighbors, public spaces, workplaces, and healthcare facilities (Gopichandran and Subramaniam, <xref ref-type="bibr" rid="B33">2021</xref>). Indeed, a large-scale study involving 1,212 participants from China showed that around one third of participants endorsed stigmatized attitude toward COVID-19 patients (Zhang et al., <xref ref-type="bibr" rid="B125">2021</xref>). Second, at the intrapersonal level, COVID-19 patients&#x00027; self-stigma manifests as feeling stressed about rejoining social activities and fear of being blamed for being outside (Lohiniva et al., <xref ref-type="bibr" rid="B66">2021</xref>). COVID-19 survivors also experience internalized stigma, such as feeling like a bad person, and expected stigma, such as perceiving that people will reject them (Dar et al., <xref ref-type="bibr" rid="B23">2020</xref>).</p></sec>
<sec>
<title>Stigma toward HCWs</title>
<p>Despite being applauded and praised as our heroes in the media, HCWs have been stigmatized during the COVID-19 pandemic. This group of stigma targets includes nurses, doctors, and other HCWs (e.g., midwives). They are stigmatized due to their contact with COVID-19 patients and being perceived as potential carriers of the disease.</p>
<p>Most of the stigmatization toward HCWs happens at the interpersonal and intrapersonal levels. First, at the interpersonal level, doctors, nurses, and other HCWs have been accused of spreading the virus, denied essential services (e.g., shunned from grocery stores), ostracized, and even assaulted and attacked (Bhanot et al., <xref ref-type="bibr" rid="B10">2021</xref>). Moreover, their family members often suffer from secondary, or associative, stigma and are harassed and bullied (Shiu et al., <xref ref-type="bibr" rid="B95">2022</xref>). Second, at the intrapersonal level, studies have shown that HCWs experience internalized stigma, such as feeling stigmatized (Elhadi et al., <xref ref-type="bibr" rid="B28">2020</xref>) and worrying about rejection and stigmatization (Greene et al., <xref ref-type="bibr" rid="B34">2021</xref>).</p>
<p>In the following sections, we discuss the antecedents and outcomes associated with these three groups of stigma targets [i.e., Chinese/Asian people, (suspected) patients and survivors, and HCWs], respectively. We organize the antecedents of COVID-19-related stigma into three broad sections: the stigmatized, stigmatizer, and context. <xref ref-type="fig" rid="F3">Figure 3</xref> and <xref ref-type="table" rid="T1">Table 1</xref> summarize the antecedents for each stigma target. The outcomes of COVID-19-related stigma are categorized as health- and non-health-related outcomes. <xref ref-type="fig" rid="F4">Figure 4</xref> and <xref ref-type="table" rid="T2">Table 2</xref> summarize the outcomes for each stigma target.</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Summary of the antecedents for stigma targets.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-13-1026712-g0003.tif"/>
</fig>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Antecedents for stigma targets.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Stigma targets</bold></th>
<th valign="top" align="left"><bold>Antecedent categories</bold></th>
<th valign="top" align="left"><bold>Sub-categories</bold></th>
<th valign="top" align="left"><bold>Specific variables</bold></th>
<th valign="top" align="left"><bold>Sample countries</bold></th>
<th valign="top" align="left"><bold>Representative research</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Chinese/Asian people</td>
<td valign="top" align="left">The Stigmatized</td>
<td valign="top" align="left">Demographics</td>
<td valign="top" align="left">Gender, age, education, occupation, SES, nationality, residential status, lived in Hubei, and Hubei <italic>hukou</italic> holders</td>
<td valign="top" align="left">Multiple countries, China, France, Jordan, United States</td>
<td valign="top" align="left">Chen X. et al., <xref ref-type="bibr" rid="B17">2020</xref>; Duan et al., <xref ref-type="bibr" rid="B26">2020</xref>; He et al., <xref ref-type="bibr" rid="B46">2020</xref>; Wang et al., <xref ref-type="bibr" rid="B108">2020</xref>; Alsawalqa, <xref ref-type="bibr" rid="B7">2021</xref>; Fan et al., <xref ref-type="bibr" rid="B29">2021</xref>; Litam and Oh, <xref ref-type="bibr" rid="B62">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Cognition</td>
<td valign="top" align="left">General: perceived relevance of stigmatized group</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Chen X. et al., <xref ref-type="bibr" rid="B18">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">COVID-19 related: perceived susceptibility to COVID-19, perceived severity of COVID-19, and familiarity with quarantined cases</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Duan et al., <xref ref-type="bibr" rid="B26">2020</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Health</td>
<td valign="top" align="left">General: Self-reported general health, anxiety symptoms</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Duan et al., <xref ref-type="bibr" rid="B26">2020</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">COVID-19 related: confirmed or suspected to have COVID-19</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Fan et al., <xref ref-type="bibr" rid="B29">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Coping</td>
<td valign="top" align="left">Face mask wearing</td>
<td valign="top" align="left">Poland</td>
<td valign="top" align="left">Rzymski and Nowicki, <xref ref-type="bibr" rid="B91">2020</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Stigmatizer</td>
<td valign="top" align="left">Demographics</td>
<td valign="top" align="left">Gender, age, tenure, occupation, location of workplace, department, and marital status</td>
<td valign="top" align="left">Indonesia</td>
<td valign="top" align="left">Yufika et al., <xref ref-type="bibr" rid="B123">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Cognition</td>
<td valign="top" align="left">General: institutional trust, political trust, social trust, institutional efficacy, collective efficacy, self-efficacy, and Christian nationalism</td>
<td valign="top" align="left">Singapore, United States</td>
<td valign="top" align="left">Ahmed et al., <xref ref-type="bibr" rid="B4">2021</xref>; Cho et al., <xref ref-type="bibr" rid="B21">2021</xref>; Dhanani and Franz, <xref ref-type="bibr" rid="B24">2020</xref>; Perry et al., <xref ref-type="bibr" rid="B84">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">COVID-19 related: perceived magnitude of harm (severity) of COVID-19, COVID-19 risk perception, misconceptions about COVID-19, and knowledge of COVID-19</td>
<td valign="top" align="left">Indonesia, Singapore, South Africa, United States</td>
<td valign="top" align="left">Schmidt et al., <xref ref-type="bibr" rid="B94">2020</xref>; Cho et al., <xref ref-type="bibr" rid="B21">2021</xref>; Yufika et al., <xref ref-type="bibr" rid="B123">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Emotion</td>
<td valign="top" align="left">General: racial envy</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="left">Cho et al., <xref ref-type="bibr" rid="B21">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">COVID-19 related: fear, anger, and anxiety</td>
<td valign="top" align="left">Multiple counties, United States</td>
<td valign="top" align="left">Cho et al., <xref ref-type="bibr" rid="B21">2021</xref>; Xu et al., <xref ref-type="bibr" rid="B115">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Social interaction (with the stigmatized group)</td>
<td valign="top" align="left">Social interaction (with Asian friends), parasocial interaction (with foreigners), and intergroup contact</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="left">Tsai et al., <xref ref-type="bibr" rid="B103">2020</xref>; Cho et al., <xref ref-type="bibr" rid="B21">2021</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Context</td>
<td valign="top" align="left">Culture</td>
<td valign="top" align="left">Food culture, mask culture, racism, political ideology, openness to trade, and openness to migration</td>
<td valign="top" align="left">Multiple countries</td>
<td valign="top" align="left">He et al., <xref ref-type="bibr" rid="B47">2021</xref>; Xu et al., <xref ref-type="bibr" rid="B115">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Media</td>
<td valign="top" align="left">Media use, social media use, news consumption, media exposure, media engagement, media trust, framing, media sources, social network size, and social network heterogeneity</td>
<td valign="top" align="left">China, Singapore, United States</td>
<td valign="top" align="left">Croucher et al., <xref ref-type="bibr" rid="B22">2020</xref>; Dhanani and Franz, <xref ref-type="bibr" rid="B24">2020</xref>, <xref ref-type="bibr" rid="B25">2021</xref>; Duan et al., <xref ref-type="bibr" rid="B26">2020</xref>; Tsai et al., <xref ref-type="bibr" rid="B103">2020</xref>; Yu et al., <xref ref-type="bibr" rid="B121">2020</xref>; Ahmed et al., <xref ref-type="bibr" rid="B4">2021</xref>; Cho et al., <xref ref-type="bibr" rid="B21">2021</xref>; Haft and Zhou, <xref ref-type="bibr" rid="B40">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">COVID-19 situation</td>
<td valign="top" align="left">Infected number in the country</td>
<td valign="top" align="left">Multiple countries</td>
<td valign="top" align="left">He et al., <xref ref-type="bibr" rid="B46">2020</xref></td>
</tr>
<tr>
<td valign="top" align="left">(Suspected) patients and survivors</td>
<td valign="top" align="left">The Stigmatized</td>
<td valign="top" align="left">Demographics</td>
<td valign="top" align="left">Gender, age, education, occupation, employment status, income, financial situation, marital status, race, immigrant status, residence, and family infection history</td>
<td valign="top" align="left">Canada, China, India, Saudi Arabia, United States</td>
<td valign="top" align="left">Dar et al., <xref ref-type="bibr" rid="B23">2020</xref>; Al-Zamel et al., <xref ref-type="bibr" rid="B8">2021</xref>; Lin et al., <xref ref-type="bibr" rid="B60">2021</xref>; Miconi et al., <xref ref-type="bibr" rid="B74">2021b</xref>; Yuan et al., <xref ref-type="bibr" rid="B122">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Cognition</td>
<td valign="top" align="left">COVID-19 related: blaming self for contracting the disease, being blamed for contacting coronavirus, uncertainty about immunity, and uncertainty about having contacted coronavirus</td>
<td valign="top" align="left">Multiple countries, Finland</td>
<td valign="top" align="left">Ransing et al., <xref ref-type="bibr" rid="B88">2020</xref>; Lohiniva et al., <xref ref-type="bibr" rid="B66">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Health</td>
<td valign="top" align="left">COVID-19 related: Symptoms continue after quarantine, severity of disease, perceived health status, presence of comorbidities, and time since discharge (days)</td>
<td valign="top" align="left">China, Finland, India, Saudi Arabia</td>
<td valign="top" align="left">Dar et al., <xref ref-type="bibr" rid="B23">2020</xref>; Al-Zamel et al., <xref ref-type="bibr" rid="B8">2021</xref>; Lin et al., <xref ref-type="bibr" rid="B60">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Coping</td>
<td valign="top" align="left">Quarantine status, COVID-19 status (isolated vs. quarantined), wear a face mask, and use of personal protective equipment</td>
<td valign="top" align="left">Bahrain, China, United States</td>
<td valign="top" align="left">Liu Y. et al., <xref ref-type="bibr" rid="B65">2020</xref>; Nursalam et al., <xref ref-type="bibr" rid="B80">2020</xref>; Xin et al., <xref ref-type="bibr" rid="B114">2020</xref>; Jassim et al., <xref ref-type="bibr" rid="B49">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Social interaction</td>
<td valign="top" align="left">Social activities</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="left">Liu Y. et al., <xref ref-type="bibr" rid="B65">2020</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Stigmatizer</td>
<td valign="top" align="left">Demographics</td>
<td valign="top" align="left">Gender, age, education, occupation, employment status, income, marital status, ethnicity, residence, region, and working province</td>
<td valign="top" align="left">Bangladesh, China, Columbia, Jordan, Nepal</td>
<td valign="top" align="left">Abuhammad et al., <xref ref-type="bibr" rid="B1">2021</xref>; Cassiani-Miranda et al., <xref ref-type="bibr" rid="B14">2021</xref>; Hossain et al., <xref ref-type="bibr" rid="B48">2021</xref>; Jiang et al., <xref ref-type="bibr" rid="B51">2021</xref>; Li et al., <xref ref-type="bibr" rid="B59">2021</xref>; Singh et al., <xref ref-type="bibr" rid="B96">2021</xref>; Zhang et al., <xref ref-type="bibr" rid="B125">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Cognition</td>
<td valign="top" align="left">General: feeling of resource scarcity, trust in public officials, trust in health experts, trust in general public, cognitive load, and need to belong</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">COVID-19 related: misbeliefs, negative attitudes toward COVID-19, knowledge of COVID-19, attribution of COVID-19, risk perception of COVID-19, vaccine effectiveness, vaccine intention, and objectification (of people returning from Hubei)</td>
<td valign="top" align="left">Multiple countries, Bangladesh, China, Lebanon</td>
<td valign="top" align="left">Ransing et al., <xref ref-type="bibr" rid="B88">2020</xref>; Hossain et al., <xref ref-type="bibr" rid="B48">2021</xref>; Li et al., <xref ref-type="bibr" rid="B59">2021</xref>; Zhang et al., <xref ref-type="bibr" rid="B125">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Emotion</td>
<td valign="top" align="left">General: optimism</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">COVID-19 related: fear, terror, COVID-19 anxiety, anger toward COVID-19 patients, dangerousness of COVID-19 patients, worry, and feeling of vulnerability</td>
<td valign="top" align="left">Multiple countries, Colombia, China, India, Lebanon, Russia</td>
<td valign="top" align="left">Ransing et al., <xref ref-type="bibr" rid="B88">2020</xref>; Sorokin et al., <xref ref-type="bibr" rid="B98">2020</xref>; Cassiani-Miranda et al., <xref ref-type="bibr" rid="B14">2021</xref>; Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref>; Gopichandran and Subramaniam, <xref ref-type="bibr" rid="B33">2021</xref>; Haddad et al., <xref ref-type="bibr" rid="B38">2021</xref>; Zhang et al., <xref ref-type="bibr" rid="B125">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Health</td>
<td valign="top" align="left">General: Self-rated health</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Li et al., <xref ref-type="bibr" rid="B59">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">COVID-19 related: Own COVID-19 status</td>
<td valign="top" align="left">Bangladesh</td>
<td valign="top" align="left">Hossain et al., <xref ref-type="bibr" rid="B48">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Social interaction (with the stigmatized group)</td>
<td valign="top" align="left">Infections of relatives and friends, served COVID-19 patients, history of COVID-19 in the family, direct or indirect contact with a (suspected) COVID-19 individual, and know someone who was COVID-19 positive within their immediate social environment, and epidemic proximity</td>
<td valign="top" align="left">Bangladesh, China, Iraq, Lebanon, Nepal</td>
<td valign="top" align="left">Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref>; Haddad et al., <xref ref-type="bibr" rid="B38">2021</xref>; Hossain et al., <xref ref-type="bibr" rid="B48">2021</xref>; Li et al., <xref ref-type="bibr" rid="B59">2021</xref>; Singh et al., <xref ref-type="bibr" rid="B96">2021</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Context</td>
<td valign="top" align="left">Media</td>
<td valign="top" align="left">Infodemics, social media use, fake news, media quality, concealment of information, lack of transparency, and irresponsible media coverage</td>
<td valign="top" align="left">Multiple countries, China, India, Sri Lanka, United States</td>
<td valign="top" align="left">Liu Y. et al., <xref ref-type="bibr" rid="B65">2020</xref>; Nursalam et al., <xref ref-type="bibr" rid="B80">2020</xref>; Ransing et al., <xref ref-type="bibr" rid="B88">2020</xref>; Gopichandran and Subramaniam, <xref ref-type="bibr" rid="B33">2021</xref>; Jayakody et al., <xref ref-type="bibr" rid="B50">2021</xref>; Sahoo and Patel, <xref ref-type="bibr" rid="B93">2021</xref>; Yuan et al., <xref ref-type="bibr" rid="B122">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Policy</td>
<td valign="top" align="left">Involvement of police, forced isolation, and different and conflicting information about COVID-19 and quarantine procedures</td>
<td valign="top" align="left">Finland, India</td>
<td valign="top" align="left">Gopichandran and Subramaniam, <xref ref-type="bibr" rid="B33">2021</xref>; Lohiniva et al., <xref ref-type="bibr" rid="B66">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">COVID-19 situation</td>
<td valign="top" align="left">Province by confirmed patients</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Jiang et al., <xref ref-type="bibr" rid="B51">2021</xref></td>
</tr>
<tr>
<td valign="top" align="left">HCWs</td>
<td valign="top" align="left">The Stigmatized</td>
<td valign="top" align="left">Demographics</td>
<td valign="top" align="left">Gender, age, education, tenure, marital status, residence, province, and living with the elderly</td>
<td valign="top" align="left">Bangladesh, India, Iran, Nepal</td>
<td valign="top" align="left">Yadav et al., <xref ref-type="bibr" rid="B116">2020</xref>; Zandifar et al., <xref ref-type="bibr" rid="B124">2020</xref>; Adhikari et al., <xref ref-type="bibr" rid="B2">2021</xref>; Radhakrishnan et al., <xref ref-type="bibr" rid="B87">2021</xref>; Uvais et al., <xref ref-type="bibr" rid="B105">2021</xref>; Khan et al., <xref ref-type="bibr" rid="B53">2022</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Work</td>
<td valign="top" align="left">Frontline worker, designation, department, occupation, treating COVID-19 patients, and type of healthcare facility</td>
<td valign="top" align="left">Bangladesh, Colombia, India, Iran, Nepal</td>
<td valign="top" align="left">Yadav et al., <xref ref-type="bibr" rid="B116">2020</xref>; Adhikari et al., <xref ref-type="bibr" rid="B2">2021</xref>; Radhakrishnan et al., <xref ref-type="bibr" rid="B87">2021</xref>; Khan et al., <xref ref-type="bibr" rid="B53">2022</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Health</td>
<td valign="top" align="left">COVID-19 diagnosed, chronic diseases, history of psychiatric illness, and admitted to the hospital due to COVID-19</td>
<td valign="top" align="left">Nepal</td>
<td valign="top" align="left">Adhikari et al., <xref ref-type="bibr" rid="B2">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Coping</td>
<td valign="top" align="left">Precautionary measures, being in quarantine, and history of quarantine</td>
<td valign="top" align="left">Bangladesh, India, Nepal</td>
<td valign="top" align="left">Adhikari et al., <xref ref-type="bibr" rid="B2">2021</xref>; Uvais et al., <xref ref-type="bibr" rid="B105">2021</xref>; Khan et al., <xref ref-type="bibr" rid="B53">2022</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Stigmatizer</td>
<td valign="top" align="left">Demographics</td>
<td valign="top" align="left">Gender, education, occupation, employment status, income, marital status, and have children</td>
<td valign="top" align="left">Columbia</td>
<td valign="top" align="left">Cassiani-Miranda et al., <xref ref-type="bibr" rid="B14">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Cognition</td>
<td valign="top" align="left">General: feeling of resource scarcity, trust in public officials, trust in health experts, trust in general public, cognitive load, and need to belong</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">COVID-19 related: (COVID-19) knowledge acquisition, (COVID-19) knowledge seeking effort, and objectification (of people returning from Hubei)</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Emotion</td>
<td valign="top" align="left">General: optimism</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">COVID-19 related: fear, COVID stress, worry, and feeling of vulnerability</td>
<td valign="top" align="left">Canada, Columbia, China, United States, Canada</td>
<td valign="top" align="left">Taylor et al., <xref ref-type="bibr" rid="B99">2020</xref>; Cassiani-Miranda et al., <xref ref-type="bibr" rid="B14">2021</xref>; Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref></td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Summary of the outcomes for stigma targets.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-13-1026712-g0004.tif"/>
</fig>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Outcomes for stigma targets.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Stigma targets</bold></th>
<th valign="top" align="left"><bold>Outcome categories</bold></th>
<th valign="top" align="left"><bold>Sub-categories</bold></th>
<th valign="top" align="left"><bold>Specific variables</bold></th>
<th valign="top" align="left"><bold>Sample countries</bold></th>
<th valign="top" align="left"><bold>Representative research</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Chinese/Asian people</td>
<td valign="top" align="left">Health</td>
<td valign="top" align="left">Mental health</td>
<td valign="top" align="left">Depression, anxiety, fear, mental disorder, psychological distress, psychological well-being, anger, grief, internalizing and externalizing problems, life satisfaction, PTSD, and self-esteem</td>
<td valign="top" align="left">Multiple countries, China, Jordan, United States</td>
<td valign="top" align="left">Cheah et al., <xref ref-type="bibr" rid="B15">2020</xref>; Litam and Oh, <xref ref-type="bibr" rid="B61">2020</xref>, <xref ref-type="bibr" rid="B62">2021</xref>; Yang and Wong, <xref ref-type="bibr" rid="B119">2020</xref>; Alsawalqa, <xref ref-type="bibr" rid="B7">2021</xref>; Chen X. et al., <xref ref-type="bibr" rid="B18">2021</xref>; Chen et al., <xref ref-type="bibr" rid="B20">2021b</xref>; Fan et al., <xref ref-type="bibr" rid="B29">2021</xref>; Haft and Zhou, <xref ref-type="bibr" rid="B40">2021</xref>; Hahm et al., <xref ref-type="bibr" rid="B41">2021a</xref>,<xref ref-type="bibr" rid="B42">b</xref>; Lee and Waters, <xref ref-type="bibr" rid="B58">2021</xref>; Ma and Miller, <xref ref-type="bibr" rid="B67">2021</xref>; Maglalang et al., <xref ref-type="bibr" rid="B69">2021</xref>; Wu C. et al., <xref ref-type="bibr" rid="B112">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Physical health</td>
<td valign="top" align="left">Physical symptoms, self-rated health, and sleep difficulties</td>
<td valign="top" align="left">Multiple countries, United States</td>
<td valign="top" align="left">Lee and Waters, <xref ref-type="bibr" rid="B58">2021</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Non-health</td>
<td valign="top" align="left">Social activity</td>
<td valign="top" align="left">Social media use, avoidance, internalizing difficulties, social support, and altruistic tendency</td>
<td valign="top" align="left">Multiple countries, China, United States</td>
<td valign="top" align="left">Yang et al., <xref ref-type="bibr" rid="B118">2020</xref>; Chen et al., <xref ref-type="bibr" rid="B20">2021b</xref>; Chen X. et al., <xref ref-type="bibr" rid="B18">2021</xref>; Hahm et al., <xref ref-type="bibr" rid="B42">2021b</xref></td>
</tr>
<tr>
<td valign="top" align="left">(Suspected) patients and survivors</td>
<td valign="top" align="left">Health</td>
<td valign="top" align="left">Mental health</td>
<td valign="top" align="left">Mental health, mental well-being, well-being, depression, suicide, self-harm, anxiety, emotional distress, psychological distress, PTSD, feeling of loneliness, feeling of uncertainty, feeling of helplessness, quality of life, worry, guilt, and fear</td>
<td valign="top" align="left">Multiple countries, Bangladesh, Canada, China, Finland, Ghana, India, Indonesia, Iran, Istanbul, Italy, Korea, Saudi Arabia, Sri Lanka, United States</td>
<td valign="top" align="left">Liu D. et al., <xref ref-type="bibr" rid="B63">2020</xref>; Ransing et al., <xref ref-type="bibr" rid="B88">2020</xref>; Xin et al., <xref ref-type="bibr" rid="B114">2020</xref>; Adom et al., <xref ref-type="bibr" rid="B3">2021</xref>; Al Eid et al., <xref ref-type="bibr" rid="B5">2021</xref>; Atinga et al., <xref ref-type="bibr" rid="B9">2021</xref>; Gopichandran and Subramaniam, <xref ref-type="bibr" rid="B33">2021</xref>; Grover et al., <xref ref-type="bibr" rid="B36">2021</xref>; Harjana et al., <xref ref-type="bibr" rid="B44">2021</xref>; Jayakody et al., <xref ref-type="bibr" rid="B50">2021</xref>; Kang et al., <xref ref-type="bibr" rid="B52">2021</xref>; Mahmoudi et al., <xref ref-type="bibr" rid="B70">2021</xref>; Miconi et al., <xref ref-type="bibr" rid="B73">2021a</xref>; Paleari et al., <xref ref-type="bibr" rid="B82">2021</xref>; Poyraz et al., <xref ref-type="bibr" rid="B85">2021</xref>; Sahoo and Patel, <xref ref-type="bibr" rid="B93">2021</xref>; Yuan et al., <xref ref-type="bibr" rid="B122">2021</xref>; Gan et al., <xref ref-type="bibr" rid="B30">2022</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Physical health</td>
<td valign="top" align="left">Delay in recovery, persistence of symptoms, insomnia, eating disorder, physical quality of life, COVID-19 testing, reluctance to report symptoms and seek treatment, concealment of contact with COVID-19 patients, and reduced capacity of the healthcare system</td>
<td valign="top" align="left">Multiple countries, China, Finland, Ghana, India, Iran, Istanbul, United States</td>
<td valign="top" align="left">Earnshaw et al., <xref ref-type="bibr" rid="B27">2020</xref>; Ransing et al., <xref ref-type="bibr" rid="B88">2020</xref>; Atinga et al., <xref ref-type="bibr" rid="B9">2021</xref>; Bhanot et al., <xref ref-type="bibr" rid="B10">2021</xref>; Lohiniva et al., <xref ref-type="bibr" rid="B66">2021</xref>; Mahmoudi et al., <xref ref-type="bibr" rid="B70">2021</xref>; Poyraz et al., <xref ref-type="bibr" rid="B85">2021</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Non-health</td>
<td valign="top" align="left">Social activity</td>
<td valign="top" align="left">Social contact, anthropophobia, and social isolation</td>
<td valign="top" align="left">Finland, Ghana, India</td>
<td valign="top" align="left">Atinga et al., <xref ref-type="bibr" rid="B9">2021</xref>; Lohiniva et al., <xref ref-type="bibr" rid="B66">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Work</td>
<td valign="top" align="left">Poor motivation, and compromised engagement in employment</td>
<td valign="top" align="left">Multiple countries</td>
<td valign="top" align="left">Ransing et al., <xref ref-type="bibr" rid="B88">2020</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Coping</td>
<td valign="top" align="left">Prolonged quarantine time, reduced compliance with self-isolation rules and guidelines, and coping mechanisms (including disclosing infection, following quarantine instructions, and convincing self)</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left">Saeed et al., <xref ref-type="bibr" rid="B92">2020</xref>; Lohiniva et al., <xref ref-type="bibr" rid="B66">2021</xref></td>
</tr>
<tr>
<td valign="top" align="left">HCWs</td>
<td valign="top" align="left">Health</td>
<td valign="top" align="left">Mental health</td>
<td valign="top" align="left">Anxiety, depression, PTSD, mental health, psychological well-being, stress, psychological distress, burnout, negative emotions, suicide risk, and resilience</td>
<td valign="top" align="left">Bangladesh, Columbia, China, India, Iran, Libya, Nepal, Philippines, Singapore, Turkey, United Kingdom</td>
<td valign="top" align="left">Elhadi et al., <xref ref-type="bibr" rid="B28">2020</xref>; Khanal et al., <xref ref-type="bibr" rid="B54">2020</xref>; Teksin et al., <xref ref-type="bibr" rid="B100">2020</xref>; Campo-Arias et al., <xref ref-type="bibr" rid="B13">2021</xref>; Greene et al., <xref ref-type="bibr" rid="B34">2021</xref>; Kirk et al., <xref ref-type="bibr" rid="B55">2021</xref>; Patel et al., <xref ref-type="bibr" rid="B83">2021</xref>; Shiu et al., <xref ref-type="bibr" rid="B95">2022</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Physical health</td>
<td valign="top" align="left">Physical quality of life and insomnia</td>
<td valign="top" align="left">Nepal, Turkey</td>
<td valign="top" align="left">Khanal et al., <xref ref-type="bibr" rid="B54">2020</xref>; Teksin et al., <xref ref-type="bibr" rid="B100">2020</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Non-health</td>
<td valign="top" align="left">Work</td>
<td valign="top" align="left">Turnover intention</td>
<td valign="top" align="left">Philippines</td>
<td valign="top" align="left">Labrague et al., <xref ref-type="bibr" rid="B56">2021</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Coping</td>
<td valign="top" align="left">Alcohol use</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="left">Zolnikov and Furio, <xref ref-type="bibr" rid="B126">2020</xref></td>
</tr>
</tbody>
</table>
</table-wrap>
</sec></sec>
<sec id="s4">
<title>Antecedents of stigma toward Chinese/Asian people</title>
<p>For each target of COVID-19-related stigma, we organize the antecedents into three broad categories: the stigmatized, stigmatizer, and context.</p>
<sec>
<title>The stigmatized</title>
<p>Previous studies have examined how characteristics of the stigmatized (i.e., Chinese/Asian people) affect their perceived stigma. We organize these studies into five sections: demographics, cognition, health, coping, and social interaction.</p>
<sec>
<title>Demographics</title>
<p>The demographics of the stigmatized can influence perceived stigma in two ways (Chen X. et al., <xref ref-type="bibr" rid="B17">2020</xref>; Duan et al., <xref ref-type="bibr" rid="B26">2020</xref>; He et al., <xref ref-type="bibr" rid="B46">2020</xref>; Alsawalqa, <xref ref-type="bibr" rid="B7">2021</xref>; Fan et al., <xref ref-type="bibr" rid="B29">2021</xref>; Litam and Oh, <xref ref-type="bibr" rid="B62">2021</xref>): (1) some demographics (e.g., Hubei residence, and Hubei <italic>hukou</italic>, which refers to households registered in Hubei province) increase Chinese/Asian people&#x00027;s relevance to the pandemic, leading to increased perceived stigma, and (2) Chinese/Asian people with certain demographics [e.g., male, young age, and low socioeconomic status (SES)] are more sensitive to stigma and/or less capable of coping with stigma, resulting in higher perceived stigma.</p>
<p>First, Chinese/Asian people with certain demographics (e.g., Hubei residence, and Hubei <italic>hukou</italic>) are seen as more relevant to the pandemic, resulting in more stigma toward these people. For example, one study found that because Hubei had a large proportion of cases in the early stage of the COVID-19 pandemic and Hubei people were accused of moral transgressions (e.g., eating wild animals), people who lived in Hubei during China&#x00027;s first COVID-19 outbreak and Hubei <italic>hukou</italic> holders faced higher discrimination (Fan et al., <xref ref-type="bibr" rid="B29">2021</xref>). Similarly, one study found that compared to students from other East and Southeast Asian countries (e.g., Korea and Singapore), Chinese students have suffered significantly more cyberbullying (Alsawalqa, <xref ref-type="bibr" rid="B7">2021</xref>).</p>
<p>Second, Chinese/Asian people with certain demographics (e.g., male, young age, and low SES) are more sensitive to others&#x00027; stigmatizing behavior and/or less capable of coping with stigma, so they perceive higher levels of stigma. For example, Chinese/Asian men are more likely to report stigma experiences (Chen X. et al., <xref ref-type="bibr" rid="B17">2020</xref>; Litam and Oh, <xref ref-type="bibr" rid="B62">2021</xref>) because they tended to experience less stigma before the pandemic, making their experiences of COVID-19-related stigma more salient. Chinese/Asian women, on the other hand, may attribute stigma to their gender and thus tend to report less COVID-19-related stigma (Litam and Oh, <xref ref-type="bibr" rid="B62">2021</xref>). Young Chinese/Asian people, who are less capable of coping with stigma compared to older people, tend to report higher stigma (Chen X. et al., <xref ref-type="bibr" rid="B17">2020</xref>; He et al., <xref ref-type="bibr" rid="B46">2020</xref>; Wang et al., <xref ref-type="bibr" rid="B108">2020</xref>). Similarly, Hubei residents with low SES have fewer resources to protect their social image and have been found to report more stigma (Duan et al., <xref ref-type="bibr" rid="B26">2020</xref>). However, the results on education are rather mixed. While one study found that education is positively related to stigma (Duan et al., <xref ref-type="bibr" rid="B26">2020</xref>), one study found a null relationship (Chen X. et al., <xref ref-type="bibr" rid="B17">2020</xref>) and another study found a negative relationship (He et al., <xref ref-type="bibr" rid="B46">2020</xref>).</p></sec>
<sec>
<title>Cognition</title>
<p>Two cognition-related aspects can influence Chinese/Asian people&#x00027;s perceived stigma: general and COVID-19-related cognition. Specifically, general cognition [e.g., perceived relevance of the stigmatized (Chen X. et al., <xref ref-type="bibr" rid="B18">2021</xref>)] affects Chinese/Asian people&#x00027;s perceived stigma mainly because Chinese/Asian people&#x00027;s perceived relevance of the stigmatized increases their identification with a stigmatized group and their sensitivity to stigma posed by external groups, which increases their perceived stigma. COVID-19-related cognition [e.g., perceived higher susceptibility/severity of COVID-19 (Duan et al., <xref ref-type="bibr" rid="B26">2020</xref>)] affects Chinese/Asian people&#x00027;s perceived stigma mainly <italic>via</italic> aggravating their anticipated stigma.</p>
<p>For general cognition, Chinese/Asian people who perceive higher relevance of the stigmatized group tend to identify more strongly with the group and are more sensitive to the stigma from external groups, which is related to increased perceived stigma. Indeed, one study found that perceived higher relevance of the stigmatized group is associated with higher levels of perceived stigma (Chen X. et al., <xref ref-type="bibr" rid="B18">2021</xref>).</p>
<p>For COVID-19-related cognition, Chinese/Asian people who feel amplified perceived threats of COVID-19 may anticipate more stigma toward themselves, which is associated with increased stigma perceptions. For example, one study found that Chinese people who perceive higher susceptibility or severity of COVID-19 tend to report higher levels of perceived stigma (Duan et al., <xref ref-type="bibr" rid="B26">2020</xref>).</p></sec>
<sec>
<title>Health</title>
<p>Two health-related aspects can influence Chinese/Asian people&#x00027;s perceived stigma: general and COVID-19-related health. Specifically, general health (e.g., anxiety disorder symptoms) may influence Chinese/Asian people&#x00027;s perceived stigma because it may indicate amplified risk perceptions. COVID-19-related health (e.g., being suspected or confirmed of having COVID-19) increases Chinese/Asian people&#x00027;s stigma perceptions because being a suspected or confirmed COVID-19 patient brings additional stigma [i.e., stigma toward (suspected) patients].</p>
<p>For general health, Chinese/Asian people&#x00027;s anxiety symptoms may indicate that they have amplified risk perceptions of themselves transmitting the disease, resulting in higher stigma perceptions. For example, one study found that Chinese people who report more anxiety disorder symptoms (rather than self-reported general health) are more likely to report higher levels of perceived stigma (Duan et al., <xref ref-type="bibr" rid="B26">2020</xref>).</p>
<p>For COVID-19-related health, Chinese/Asian people who are confirmed or suspected COVID-19 patients perceive more stigma due to having two stigmatized identities (i.e., being Chinese/Asian and being COVID-19 patients). For example, in a sample of 7,942 Chinese people, one study found that being confirmed or suspected of having COVID-19 is significantly related to perceived discrimination regardless of whether control variables, such as gender, age, education, income etc., are included or excluded (Fan et al., <xref ref-type="bibr" rid="B29">2021</xref>).</p></sec>
<sec>
<title>Coping</title>
<p>Chinese/Asian people&#x00027;s use of coping strategies, such as face mask wearing (Rzymski and Nowicki, <xref ref-type="bibr" rid="B91">2020</xref>), increases their stigma perceptions because of public misassumptions that wearing masks means there is a threat of COVID-19. For example, one study found that Asian medical students who wear face masks more frequently experience prejudice related to the COVID-19 outbreak in Poland compared to Asians who do not wear masks (Rzymski and Nowicki, <xref ref-type="bibr" rid="B91">2020</xref>).</p></sec></sec>
<sec>
<title>Stigmatizer</title>
<p>Based on studies we reviewed, stigmatizers&#x00027; influence on stigma toward Chinese/Asian people can be organized into four sections: demographics, cognition, emotion, and social interaction.</p>
<sec>
<title>Demographics</title>
<p>Stigmatizers&#x00027; demographics (e.g., occupation, and workplace characteristics) influence their stigma attitudes toward Chinese/Asian people because certain demographics reflect stigmatizers&#x00027; low knowledge and/or high perceived risk of COVID-19 (Yufika et al., <xref ref-type="bibr" rid="B123">2021</xref>). For example, one study found that compared with doctors, nurses are more likely to display stigma toward Chinese/Asian people because they have lower knowledge and perceive higher risk of COVID-19 (Yufika et al., <xref ref-type="bibr" rid="B123">2021</xref>). As another example, HCWs who work in private sub-rural hospitals and hospitals with no protocols for triage and isolation for patients may perceive higher risk and have lower knowledge about COVID-19, and they have been found to have more stigmatizing attitudes toward Chinese/Asian people (Yufika et al., <xref ref-type="bibr" rid="B123">2021</xref>). However, no significant relationships have been found between stigma and stigmatizers&#x00027; other demographics (e.g., gender, age, and marital status).</p></sec>
<sec>
<title>Cognition</title>
<p>Stigmatizers&#x00027; cognition, both general and COVID-19 related, affects their stigmatizing attitudes and behavior. Specifically, stigmatizers&#x00027; general cognition affects stigmatizing attitudes and behavior in two ways: (1) stigmatizers&#x00027; sense of efficacy and trust toward the collective and institutions (e.g., social/political trust, and collective efficacy) enhance their positive appraisals of resources to cope with COVID-19, which mitigates stigmatizing behavior, and (2) positive attitudes toward Trump&#x00027;s government [e.g., trust in Trump (Dhanani and Franz, <xref ref-type="bibr" rid="B24">2020</xref>)] are associated with stigmatizing attitudes toward Chinese/Asian people following former President Trump&#x00027;s stigmatizing behavior (e.g., repeatedly using &#x0201C;Chinese virus&#x0201D; to refer to COVID-19). COVID-19-related cognition affects stigmatizers&#x00027; stigmatizing behavior mainly because individuals with correct knowledge and perceptions about COVID-19 engage in less stigmatizing behavior.</p>
<p>For general cognition, first, people who perceive the collective or institutions as credible and efficacious (e.g., social/political trust, and collective efficacy) have more positive appraisals of their resources to cope with COVID-19; therefore, they are less likely to stigmatize Chinese/Asian people. For example, one study found that Singaporean citizens with higher trust in the government and people in society are less likely to adopt stereotypes and prejudice against Chinese immigrants (Ahmed et al., <xref ref-type="bibr" rid="B4">2021</xref>). Another study found that collective efficacy, but not self-efficacy, is negatively related to stigmatizing attitudes toward Chinese/Asian people (Cho et al., <xref ref-type="bibr" rid="B21">2021</xref>).</p>
<p>Second, given former President Trump&#x00027;s frequent stigmatizing behavior toward Chinese people (e.g., using &#x0201C;Chinese virus&#x0201D; to refer to COVID-19), stigmatizers who have more positive attitudes toward him and his government are more likely to engage in stigmatizing behavior toward Chinese/Asian people. For example, one study found that trust in Trump is significantly related to negative attitudes toward Asian Americans in response to COVID-19 (Dhanani and Franz, <xref ref-type="bibr" rid="B24">2020</xref>). Another study found that perceived institutional efficacy (in Trump&#x00027;s government) during COVID-19 is positively related to stigmatizing attitudes toward Chinese/Asian people (Cho et al., <xref ref-type="bibr" rid="B21">2021</xref>). In addition, Christian nationalism, &#x0201C;one of the leading factors driving continued support for Donald Trump and his policies&#x0201D; (Perry et al., <xref ref-type="bibr" rid="B84">2021</xref>, p. 760), is significantly associated with supporting stigmatizing opinions about Chinese/Asian people (Perry et al., <xref ref-type="bibr" rid="B84">2021</xref>).</p>
<p>For COVID-19-related cognition, individuals with high levels of knowledge and correct perceptions about COVID-19 are more likely to have low levels of stigmatizing attitudes and behavior. For example, one study found that HCWs with higher knowledge about COVID-19 are less likely to have stigmatizing attitudes toward Chinese/Asian people (Yufika et al., <xref ref-type="bibr" rid="B123">2021</xref>). One study conducted a qualitative study in South Africa and found that misconceptions about COVID-19 are prevalent and contributes to stigmatizing attitudes and behavior toward people of Asian descent (Schmidt et al., <xref ref-type="bibr" rid="B94">2020</xref>). Another study found that the perceived magnitude of harm of COVID-19 is positively associated with stigmatizing attitudes toward Chinese/Asian people (Cho et al., <xref ref-type="bibr" rid="B21">2021</xref>).</p></sec>
<sec>
<title>Emotion</title>
<p>Stigmatizers&#x00027; negative emotions, both general and COVID-19 related, affect their stigmatizing behavior. Specifically, general emotions [e.g., racial envy (Cho et al., <xref ref-type="bibr" rid="B21">2021</xref>)] signal prejudice of Chinese/Asian people, which is positively related to stigmatizing attitudes toward this group. COVID-19-related emotions [e.g., fear of infection (Xu et al., <xref ref-type="bibr" rid="B115">2021</xref>)] are also positively related to stigmatizing attitudes toward Chinese/Asian people because stigmatization is used as a coping mechanism for negative emotions arising from the pandemic.</p>
<p>For general emotions, racial envy signals prejudice against Chinese/Asian people and perceived ineligibility of their advantages over other races, which may promote harm and stigma toward Chinese/Asian people. For example, one study found that American adults&#x00027; racial envy is positively related to stigmatizing attitudes toward Chinese/Asian people (Cho et al., <xref ref-type="bibr" rid="B21">2021</xref>).</p>
<p>For COVID-19-related emotions, negative emotions are positively related to stigmatizing attitudes toward Chinses/Asian people as many use stigmatization as a coping mechanism against negative emotions arising from the pandemic (e.g., fear). For example, one study found that COVID-19 creates public panic due to uncertainty about COVID-19 infections, resulting in avoidance and stigmatization of people believed to be at high risk of spreading the virus, which were mainly Chinese people at the onset of the pandemic (Xu et al., <xref ref-type="bibr" rid="B115">2021</xref>). In addition, one study found that fear, rather than anger and anxiety, is positively related to stigmatizing attitudes toward Chinese/Asian people (Cho et al., <xref ref-type="bibr" rid="B21">2021</xref>).</p></sec>
<sec>
<title>Social interaction (with the stigmatized group)</title>
<p>Stigmatizers&#x00027; social interaction with the stigmatized group [e.g., social interaction with Asian friends (Cho et al., <xref ref-type="bibr" rid="B21">2021</xref>), and intergroup contacts (Tsai et al., <xref ref-type="bibr" rid="B103">2020</xref>)] could influence their stigmatizing attitudes in two contrasting ways: (1) interacting with Chinese/Asian people heightens the risk of infection, which is associated with more stigmatizing attitudes, (2) interacting with Chinese/Asian people can enhance understanding of this group and thus reduce stigma.</p>
<p>First, social interaction with Chinese/Asian people activates the threat and risk of COVID-19 infection, which is associated with more stigmatizing attitudes. For example, one study found that the frequency of direct intergroup contact is positively associated with prejudicial attitudes toward Asian people because of higher perceived threats (Tsai et al., <xref ref-type="bibr" rid="B103">2020</xref>).</p>
<p>Second, interaction with Chinese/Asian people can enhance understanding of this group, thus stigmatizers are more likely to change their beliefs and stigmatizing attitudes toward Chinese/Asian people after interacting with them. For example, one study found that parasocial interaction with foreigners (i.e., watching foreign language movies) is negatively related to stigmatizing attitudes toward Chinese/Asian people (Cho et al., <xref ref-type="bibr" rid="B21">2021</xref>). However, direct social interaction (i.e., number of close Asian friends) is not significantly related to stigmatizing attitudes.</p></sec></sec>
<sec>
<title>Context</title>
<p>In terms of contextual antecedents for stigma toward Chinese/Asian people, we organize these studies into three sections: culture, media, and COVID-19 situation.</p>
<sec>
<title>Culture</title>
<p>Culture [e.g., food culture, mask culture, and racism (Xu et al., <xref ref-type="bibr" rid="B115">2021</xref>)] influences stigma toward Chinese/Asian people in two primary ways: (1) food/mask culture contributes to stigmatizing behavior toward Chinese/Asian people because Westerners vs. Chinese/Asian people interpret food/mask wearing differently, and (2) deeply rooted racism toward Chinese/Asian people and political tension between mainland China and Hong Kong/Taiwan have been revived and intensified during the COVID-19 pandemic, which has also increased stigma toward Chinese/Asian people.</p>
<p>First, food/mask culture contributes to stigma toward Chinese/Asian people because Westerners vs. Chinese/Asians have different interpretations of food and mask wearing. Many people from Western countries consider eating wild animals uncivilized and dirty and believe that Wuhan people&#x00027;s consumption of wild animals caused the virus (Xu et al., <xref ref-type="bibr" rid="B115">2021</xref>). Additionally, while overseas Chinese people wear masks for self-protection, people from Western countries may mistake this practice as spreading COVID-19 or creating terror and panic. For example, one study summarized that differences in food/mask culture comprise one of the factors contributing to stigma toward Wuhan residents and overseas Chinese/Asian people (Xu et al., <xref ref-type="bibr" rid="B115">2021</xref>).</p>
<p>Second, racism against Chinese/Asian people has a long history in United States (Tessler et al., <xref ref-type="bibr" rid="B101">2020</xref>), and political tension between mainland China and Hong Kong/Taiwan has been a longstanding issue (Xu et al., <xref ref-type="bibr" rid="B115">2021</xref>). Both of these issues have been revived and intensified during the COVID-19 pandemic and contribute to stigma toward Chinese/Asian people. For example, one study found that racism and hate crimes toward Chinese/Asian people have been widely reported in multiple media outlets (e.g., CNN, <italic>New York Times</italic>) and that former US President Trump&#x00027;s use of stigmatizing words (e.g., &#x0201C;Chinese virus&#x0201D;) fueled racial discrimination (Xu et al., <xref ref-type="bibr" rid="B115">2021</xref>). In addition, mainland China and Hong Kong/Taiwan have different political ideologies and have handled COVID-19 differently. As such, COVID-19 has heightened the political tension between the two regions and has fueled discrimination and stigma toward mainland Chinese people (Xu et al., <xref ref-type="bibr" rid="B115">2021</xref>). In contrast, country-level openness to trade and immigration (measured by the value of trade flow relative to national GDP, and immigration flow relative to population, respectively), promote interaction between people of different races and nationalities, which has increased mutual understanding and decreased stigma toward Chinese/Asian people. For example, a multi-country study found that more openness to trade and immigration with China was related to reduced reported discrimination (He et al., <xref ref-type="bibr" rid="B47">2021</xref>).</p></sec>
<sec>
<title>Media</title>
<p>Media factors [e.g., (social) media use (Croucher et al., <xref ref-type="bibr" rid="B22">2020</xref>; Dhanani and Franz, <xref ref-type="bibr" rid="B24">2020</xref>; Duan et al., <xref ref-type="bibr" rid="B26">2020</xref>; Tsai et al., <xref ref-type="bibr" rid="B103">2020</xref>; Yu et al., <xref ref-type="bibr" rid="B121">2020</xref>; Ahmed et al., <xref ref-type="bibr" rid="B4">2021</xref>; Cho et al., <xref ref-type="bibr" rid="B21">2021</xref>; Haft and Zhou, <xref ref-type="bibr" rid="B40">2021</xref>), media sources (Tsai et al., <xref ref-type="bibr" rid="B103">2020</xref>), framing (Dhanani and Franz, <xref ref-type="bibr" rid="B25">2021</xref>)] have been extensively investigated in the literature. Three major points highlight the media&#x00027;s influence on stigma toward Chinese/Asian people: (1) people who use certain types of media (e.g., right-leaning media, and social media) are more likely to stigmatize Chinese/Asian people because biased and fake information is prevalent on these media platforms, (2) Chinese/Asian people who use media more frequently are more likely to perceive stigma toward themselves due to exposure to the biased and negative information in social and traditional media, and (3) the algorithms of media platforms may reinforce biased information and beliefs.</p>
<p>First, according to cultivation theory, right-leaning traditional media outlets politicize COVID-19 and blame China for the pandemic, aggravating the use of stigmatizing words, such as &#x0201C;China virus&#x0201D; and &#x0201C;Wuhan virus&#x0201D; (Tsai et al., <xref ref-type="bibr" rid="B103">2020</xref>). Additionally, due to the lack of supervision of social media, users can freely publish information, resulting in substantial biased and false information spreading rapidly and widely on the Internet (Dhanani and Franz, <xref ref-type="bibr" rid="B24">2020</xref>; Cho et al., <xref ref-type="bibr" rid="B21">2021</xref>). Therefore, when individuals use right-leaning and social media more frequently, they tend to receive more biased and inaccurate information and form prejudicial and stereotypical attitudes, resulting in more stigma toward Chinese/Asian people. For example, one study found that use of traditional media and trust in social media are positively associated with prejudicial attitudes toward Asian people and relying on left-leaning and neutral media is negatively related to prejudicial attitudes toward Asian people (Tsai et al., <xref ref-type="bibr" rid="B103">2020</xref>). Trust in social media also reinforces the effect of social media use on prejudice against Asian people such that frequent users of social media are more likely to have prejudicial attitudes toward Asian people when they have more trust in social media. In addition, how media outlets frame COVID-19 affects users&#x00027; stigmatizing attitudes. For example, one study conducted an experiment and found that using Chinese framing (vs. neural framing) when describing the origin of COVID-19 significantly contributes to stigmatizing attitudes toward Asian people (Dhanani and Franz, <xref ref-type="bibr" rid="B25">2021</xref>).</p>
<p>Second, Chinese/Asian people who use media more frequently are more likely to be exposed to biased information, which may result in higher perceived stigma toward themselves. For example, one study found that Hubei people who use media more frequently are more likely to report stigma (Duan et al., <xref ref-type="bibr" rid="B26">2020</xref>). One study found that exposure to negative media portrayals of Chinese people mediates the relationship between COVID-19 period (i.e., pre- vs. post-COVID-19) and perceived discrimination among Chinese American college students (Haft and Zhou, <xref ref-type="bibr" rid="B40">2021</xref>). Another study also found that use of social media is positively related to both experiences of everyday discrimination and concerns about future discrimination in a sample of Asians and Asian Americans (Yu et al., <xref ref-type="bibr" rid="B121">2020</xref>).</p>
<p>Third, the algorithms of social media platforms can make individuals receive information they tend to agree with, which would create an echo chamber effect, leading to selective attention and polarization of opinions (Croucher et al., <xref ref-type="bibr" rid="B22">2020</xref>; Ahmed et al., <xref ref-type="bibr" rid="B4">2021</xref>). As such, social media may further worsen the problem of stigma toward Chinese/Asian people. For example, one study found that participants who use Facebook, a social media platform that uses algorithms to create a newsfeed (Bucher, <xref ref-type="bibr" rid="B12">2017</xref>), score significantly higher on prejudice against Asian people (Dhanani and Franz, <xref ref-type="bibr" rid="B24">2020</xref>). To mitigate the echo chamber effect created by algorithms, one study suggested increasing network size and heterogeneity, as they found that large network size and discussion network heterogeneity are negatively related to stereotypes and prejudice against Chinese immigrants (Ahmed et al., <xref ref-type="bibr" rid="B4">2021</xref>).</p></sec>
<sec>
<title>COVID-19 situation</title>
<p>The COVID-19 situation [e.g., number of infected individuals in a country (He et al., <xref ref-type="bibr" rid="B46">2020</xref>)] has been investigated as an influence on stigma behavior toward Chinese/Asian people because when COVID-19 is more prevalent in a country, people may perceive less health risk and are less likely to engage in stigmatizing behavior (Robinson and Daly, <xref ref-type="bibr" rid="B89">2021</xref>). Indeed, one study found that overseas Chinese people living in countries with more confirmed cases are less likely to experience discrimination and violent overaction (He et al., <xref ref-type="bibr" rid="B46">2020</xref>).</p></sec></sec></sec>
<sec id="s5">
<title>Antecedents of stigma toward (suspected) patients and survivors</title>
<sec>
<title>The stigmatized</title>
<p>Studies have examined how characteristics of the stigmatized [i.e., (suspected) patients and survivors] affect their perceived stigma, and we categorize these studies into four sections: demographics, cognition, health, and coping.</p>
<sec>
<title>Demographics</title>
<p>The demographics of (suspected) patients and survivors have been investigated in the literature (Dar et al., <xref ref-type="bibr" rid="B23">2020</xref>; Al-Zamel et al., <xref ref-type="bibr" rid="B8">2021</xref>; Lin et al., <xref ref-type="bibr" rid="B60">2021</xref>; Miconi et al., <xref ref-type="bibr" rid="B74">2021b</xref>; Yuan et al., <xref ref-type="bibr" rid="B122">2021</xref>). The influence of (suspected) patients and survivors&#x00027; demographics can be interpreted in two main ways: (1) (suspected) patients and survivors whose demographics indicate a lack of resources are more vulnerable (e.g., economic loss) and tend to report higher stigma, and (2) (suspected) patients and survivors with certain demographics (e.g., men) tend to perceive higher stigma because they experienced less stigma before the pandemic and are more sensitive than their counterparts.</p>
<p>First, (suspected) patients and survivors whose demographics indicate a lack of resources (e.g., economic loss) are more vulnerable and more susceptible to the negative influence of stigma. Thus, they may perceive higher stigma. For example, one study found that COVID-19 survivors who have faced higher economic losses perceive higher levels of stigma (Yuan et al., <xref ref-type="bibr" rid="B122">2021</xref>).</p>
<p>Second, (suspected) patients and survivors with certain demographics (e.g., men) had fewer stigmatizing experiences before the pandemic and are more sensitive to stigma toward them, so they tend to report higher stigma perceptions than female (suspected) patients and survivors. Indeed, two studies found that male (suspected) patients and survivors had higher perceived stigma (Dar et al., <xref ref-type="bibr" rid="B23">2020</xref>; Miconi et al., <xref ref-type="bibr" rid="B74">2021b</xref>).</p></sec>
<sec>
<title>Cognition</title>
<p>(Suspected) patients and survivors&#x00027; COVID-19-related cognition impacts their perceived stigma in two ways: (1) (suspected) patients and survivors who blame themselves or perceive being blamed for contracting COVID-19 may anticipate more stigma, which contributes to their stigma perceptions, and (2) (suspected) patients and survivors who are uncertain about their COVID-19 status may feel negative about themselves, contributing to self-stigma.</p>
<p>First, (suspected) patients and survivors who blame themselves or perceive being blamed for contracting COVID-19 may anticipate more stigma toward themselves, resulting in increased stigma perceptions. For example, a qualitative study in Finland showed that one of the drivers of COVID-19 patients&#x00027; perceived stigma is being blamed for contracting the virus (Lohiniva et al., <xref ref-type="bibr" rid="B66">2021</xref>). In addition, a review paper suggested that self-blame could be an important contributor of stigma perceptions (Ransing et al., <xref ref-type="bibr" rid="B88">2020</xref>).</p>
<p>Second, (suspected) patients and survivors who are uncertain about their COVID-19 status may have negative feelings toward themselves, resulting in self-stigma. For example, one study found that uncertainty about their COVID-19 status and their immunity contributes to suspected and confirmed patients&#x00027; self-stigma during and even after quarantine (Lohiniva et al., <xref ref-type="bibr" rid="B66">2021</xref>).</p></sec>
<sec>
<title>Health</title>
<p>(Suspected) patients and survivors&#x00027; health conditions [e.g., severity of disease (Lin et al., <xref ref-type="bibr" rid="B60">2021</xref>), time since hospital discharge (Dar et al., <xref ref-type="bibr" rid="B23">2020</xref>)] influence their stigma perceptions because their poor health conditions may imply higher risk of transmitting the disease, resulting in more perceived stigma. For example, one study found that compared with patients with mild symptoms, COVID-19 patients whose condition was more severe perceive higher stigma (Lin et al., <xref ref-type="bibr" rid="B60">2021</xref>). In addition, one study found that with increasing time since hospital discharge, survivors&#x00027; self-reported stigma decreases (Dar et al., <xref ref-type="bibr" rid="B23">2020</xref>). However, another study found that the presence of comorbidities is not related to perceived stigma (Al-Zamel et al., <xref ref-type="bibr" rid="B8">2021</xref>).</p></sec>
<sec>
<title>Coping</title>
<p>(Suspected) patients and survivors&#x00027; use of coping strategies [e.g., wearing a face mask and other personal protective equipment (Liu Y. et al., <xref ref-type="bibr" rid="B65">2020</xref>; Nursalam et al., <xref ref-type="bibr" rid="B80">2020</xref>), being quarantined (Nursalam et al., <xref ref-type="bibr" rid="B80">2020</xref>; Xin et al., <xref ref-type="bibr" rid="B114">2020</xref>; Jassim et al., <xref ref-type="bibr" rid="B49">2021</xref>)] signals heightened risk of transmitting COVID-19, resulting in more perceived stigma. Specifically, quarantine and mask wearing send a risk signal that people who are quarantined or wear face masks are more likely to carry the virus (Liu Y. et al., <xref ref-type="bibr" rid="B65">2020</xref>; Xin et al., <xref ref-type="bibr" rid="B114">2020</xref>; Jassim et al., <xref ref-type="bibr" rid="B49">2021</xref>). Thus, (suspected) patients and survivors using these coping strategies are more likely to be stigmatized. For example, one study found that being quarantined positively predicts perceived discrimination because of presumed COVID-19 infection (Xin et al., <xref ref-type="bibr" rid="B114">2020</xref>). One study also found that individuals who wear face masks experience more stigma because of suspected COVID-19 status than those who do not (Liu Y. et al., <xref ref-type="bibr" rid="B65">2020</xref>). Furthermore, the study found that mask wearing interacts with working status to predict experienced stigma such that those working outside and wearing masks experience more stigma compared with those who do not wear masks and those who wear masks and work partially or fully from home (Liu Y. et al., <xref ref-type="bibr" rid="B65">2020</xref>).</p></sec>
<sec>
<title>Social interaction</title>
<p>(Suspected) patients and survivors&#x00027; social interaction [e.g., social activities (Liu Y. et al., <xref ref-type="bibr" rid="B65">2020</xref>)] influences their stigma perceptions. One paper showed that only passive forms of social activities (e.g., having visitors at one&#x00027;s residence) contributed to perceived stigma toward suspected patients, while more proactive forms of social interaction did not [e.g., going to the grocery store or the pharmacy, and going to a friend&#x00027;s residence (Liu Y. et al., <xref ref-type="bibr" rid="B65">2020</xref>)].</p></sec></sec>
<sec>
<title>Stigmatizer</title>
<p>Stigmatizers&#x00027; characteristics affect their stigmatizing attitudes and behavior. We organize related studies into five sections: demographics, cognition, emotion, health, and social interaction (with the stigmatized group).</p>
<sec>
<title>Demographics</title>
<p>Stigmatizers&#x00027; demographics have been investigated in the literature (Abuhammad et al., <xref ref-type="bibr" rid="B1">2021</xref>; Cassiani-Miranda et al., <xref ref-type="bibr" rid="B14">2021</xref>; Hossain et al., <xref ref-type="bibr" rid="B48">2021</xref>; Jiang et al., <xref ref-type="bibr" rid="B51">2021</xref>; Li et al., <xref ref-type="bibr" rid="B59">2021</xref>; Singh et al., <xref ref-type="bibr" rid="B96">2021</xref>; Zhang et al., <xref ref-type="bibr" rid="B125">2021</xref>). We identified two aspects highlighting the influence of stigmatizers&#x00027; demographics: (1) certain demographics of stigmatizers are associated with less stigmatizing attitudes toward (suspected) patients and survivors because they reflect higher knowledge about COVID-19 (e.g., higher education and healthcare occupations vs. general public), and (2) certain demographics of stigmatizers are associated with more stigmatizing attitudes toward (suspected) patients and survivors because they reflect lower resources (e.g., rural vs. urban residence) and higher risk of COVID-19 infection (e.g., regions close to the origin location of COVID-19 and old age).</p>
<p>First, certain demographics of stigmatizers are associated with less stigmatizing attitudes toward (suspected) patients and survivors because they reflect higher knowledge about COVID-19 (e.g., higher education). For example, one study (Cassiani-Miranda et al., <xref ref-type="bibr" rid="B14">2021</xref>) found that HCWs generally hold fewer stigmatizing attitudes toward COVID-19 patients compared with the general population. Another study (Hossain et al., <xref ref-type="bibr" rid="B48">2021</xref>) found that individuals in Bangladesh with lower education backgrounds have higher levels of stigmatizing attitudes toward COVID-19 patients. Studies in Jordan (Abuhammad et al., <xref ref-type="bibr" rid="B1">2021</xref>) and China (Zhang et al., <xref ref-type="bibr" rid="B125">2021</xref>) also support this conclusion.</p>
<p>Second, certain demographics of stigmatizers are associated with more stigmatizing attitudes because they indicate lower resources to cope with COVID-19 (e.g., rural vs. urban residence) and higher COVID-19 risk (e.g., regions close to the origin location of COVID-19). For example, one study (Hossain et al., <xref ref-type="bibr" rid="B48">2021</xref>) found that participants living in the rural and urban [excluding city corporation, i.e., &#x0201C;highly urbanized areas mostly in divisional headquarters&#x0201D; (Hossain et al., <xref ref-type="bibr" rid="B48">2021</xref>, p. 3)] areas of Bangladesh tend to report higher stigmatizing attitudes toward people who tested positive for COVID-19 compared with participants living in city corporation areas. One study (Li et al., <xref ref-type="bibr" rid="B59">2021</xref>) found that living in central China, which is close to the early epicenter of the pandemic, is associated with higher levels of discrimination against COVID-19 survivors. However, the results of age are rather mixed. While age has generally been found to be positively associated with stigma attitudes in studies conducted in China (Jiang et al., <xref ref-type="bibr" rid="B51">2021</xref>; Li et al., <xref ref-type="bibr" rid="B59">2021</xref>; Zhang et al., <xref ref-type="bibr" rid="B125">2021</xref>), a study in Jordan (Abuhammad et al., <xref ref-type="bibr" rid="B1">2021</xref>) found opposite results.</p></sec>
<sec>
<title>Cognition</title>
<p>Both stigmatizers&#x00027; general cognition [e.g., feeling of resource scarcity, and trust in public officials (Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref>)] and COVID-19-related cognition [e.g., perceived risk/harm of COVID-19 (Hossain et al., <xref ref-type="bibr" rid="B48">2021</xref>; Li et al., <xref ref-type="bibr" rid="B59">2021</xref>), and vaccine attitudes (Li et al., <xref ref-type="bibr" rid="B59">2021</xref>)] affect their stigmatizing attitudes toward (suspected) patients and survivors. Stigmatizers&#x00027; general cognition influences their stigmatizing attitudes because stigmatizers who perceive low sense of control (e.g., feeling of resource scarcity, and low trust in public officials) tend to stigmatize (suspected) patients and survivors to restore their sense of control. COVID-19-related cognition influences stigmatizers&#x00027; attitudes in two ways: (1) correct knowledge and perceptions about COVID-19 mitigate stigmatizing attitudes, and (2) stigmatizers who attribute more blame to (suspected) patients and survivors are more likely to stigmatize them.</p>
<p>For general cognition, stigmatizers whose cognition reflects a low sense of control (e.g., feeling of resource scarcity, and low trust in public officials) are more likely to stigmatize (suspected) patients and survivors as a way to restore their sense of control. For example, one study found that the feeling of resource scarcity is positively related to stigmatizing attitudes toward suspected patients [e.g., people from major outbreak sites, and people discharged from quarantine sites (Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref>)]. In addition, trust in public officials, which can be seen as a sense of security and control, is negatively associated with stigmatizing attitudes toward suspected patients (Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref>).</p>
<p>For COVID-19-related cognition, first, stigmatizers who have high levels of knowledge and correct perceptions about COVID-19 are less likely to stigmatize (suspected) patients and survivors. For example, one study found that Chinese people with a higher knowledge score about COVID-19 are less likely to hold stigmatizing attitudes toward COVID-19 survivors (Li et al., <xref ref-type="bibr" rid="B59">2021</xref>). Misbeliefs and misconceptions about COVID-19 are generally found to contribute to stigmatizing attitudes (Ransing et al., <xref ref-type="bibr" rid="B88">2020</xref>; Hossain et al., <xref ref-type="bibr" rid="B48">2021</xref>; Zhang et al., <xref ref-type="bibr" rid="B125">2021</xref>). One study found that the perceived magnitude of risk of COVID-19 is positively related to stigmatizing attitudes toward COVID-19 patients (Hossain et al., <xref ref-type="bibr" rid="B48">2021</xref>). A study on vaccination and stigmatization found that both vaccine effectiveness and vaccination intention reduce stigmatizing attitudes (Li et al., <xref ref-type="bibr" rid="B59">2021</xref>).</p>
<p>Second, stigmatizers who attribute more blame to (suspected) patients and survivors are more likely to stigmatize them. For example, one study found that Chinese people who attribute more personal responsibility to COVID-19 patients are more likely to adopt stigmatizing attitudes toward them (Zhang et al., <xref ref-type="bibr" rid="B125">2021</xref>). In addition, a qualitative study suggests that blaming others for contracting the COVID-19 virus contributes to stigmatizing attitudes and behavior toward patients (Ransing et al., <xref ref-type="bibr" rid="B88">2020</xref>).</p></sec>
<sec>
<title>Emotion</title>
<p>Stigmatizers&#x00027; COVID-19-related emotions [e.g., fear (Ransing et al., <xref ref-type="bibr" rid="B88">2020</xref>; Sorokin et al., <xref ref-type="bibr" rid="B98">2020</xref>; Cassiani-Miranda et al., <xref ref-type="bibr" rid="B14">2021</xref>; Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref>; Gopichandran and Subramaniam, <xref ref-type="bibr" rid="B33">2021</xref>; Haddad et al., <xref ref-type="bibr" rid="B38">2021</xref>; Zhang et al., <xref ref-type="bibr" rid="B125">2021</xref>), and anxiety (Haddad et al., <xref ref-type="bibr" rid="B38">2021</xref>)] influence their stigmatizing attitudes because stigmatization is used as a coping mechanism for negative emotions arising from the pandemic.</p>
<p>COVID-19 induces a lot of negative emotions (e.g., fear, anxiety, and anger), and individuals use stigmatization as a coping strategy to deal with these negative emotions (Chen et al., <xref ref-type="bibr" rid="B20">2021b</xref>). For example, research has generally found that fear is positively associated with stigmatizing attitudes toward (suspected) patients and survivors (Sorokin et al., <xref ref-type="bibr" rid="B98">2020</xref>; Cassiani-Miranda et al., <xref ref-type="bibr" rid="B14">2021</xref>; Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref>; Gopichandran and Subramaniam, <xref ref-type="bibr" rid="B33">2021</xref>; Haddad et al., <xref ref-type="bibr" rid="B38">2021</xref>; Zhang et al., <xref ref-type="bibr" rid="B125">2021</xref>). One study also found that feeling dangerous and angry toward COVID-19 patients is positively related to stigmatizing attitudes toward them (Zhang et al., <xref ref-type="bibr" rid="B125">2021</xref>). However, another study found that other emotions (e.g., worry and optimism) are not related to stigmatization against suspected patients (Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref>).</p></sec>
<sec>
<title>Health</title>
<p>Stigmatizers&#x00027; health may influence stigma because people in poor health may be more prone to be affected with COVID-19 (Chen N. et al., <xref ref-type="bibr" rid="B16">2020</xref>) and may be more likely to stigmatize (suspected) patients and survivors. However, empirical studies did not find a significant relationship between stigmatizers&#x00027; health and stigma. Specifically, one study found that self-rated health is not related to discrimination (Li et al., <xref ref-type="bibr" rid="B59">2021</xref>). Another study also found that stigmatizers&#x00027; own COVID-19 status is not related to stigmatizing attitudes toward COVID-19 patients (Hossain et al., <xref ref-type="bibr" rid="B48">2021</xref>).</p></sec>
<sec>
<title>Social interaction (with the stigmatized group)</title>
<p>Stigmatizers&#x00027; social interaction with (suspected) patients and survivors [e.g., infections of relatives and friends (Li et al., <xref ref-type="bibr" rid="B59">2021</xref>), and direct or indirect contact with a (suspected) COVID-19 patient/survivor (Haddad et al., <xref ref-type="bibr" rid="B38">2021</xref>)] influence their stigmatizing attitudes in two ways: (1) for stigmatizers who must interact with (suspected) patients and survivors (e.g., frontline workers), social interaction with the stigmatized group (e.g., serving patients) reduces their stigmatizing attitudes because they change their attitudes to resolve cognitive dissonance, and (2) social interaction with (suspected) patients and survivors reduces stigmatizing attitudes because stigmatizers gain more knowledge about COVID-19 and perceive less risk of the disease by interacting with the stigmatized group.</p>
<p>First, stigmatizers who must interact with (suspected) patients and survivors (e.g., frontline workers) may change their stigmatizing attitudes to resolve cognitive dissonance (Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref>). For example, one study found that the epidemic proximity of one&#x00027;s role, ranging from peripheral (e.g., general public) to intermediate (e.g., family members of COVID-19 patients) to center (e.g., HCWs, police), negatively predicts stigmatization and discrimination toward suspected patients (Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref>). A web-based cross-sectional study among HCWs also found that having served COVID-19 patients positively predicts acceptance of COVID-19 patients and negatively predicts fear of COVID-19 patients&#x02014;two dimensions of stigma toward COVID-19 patients (Singh et al., <xref ref-type="bibr" rid="B96">2021</xref>).</p>
<p>Second, having contact with (suspected) patients and survivors can increase stigmatizers&#x00027; knowledge and correct perceptions of COVD-19, leading to decreased stigmatizing attitudes. For example, one study found that a history of COVID-19 in one&#x00027;s family and direct contact with a (suspected) COVID-19 patient/survivor are negatively related to stigmatizing attitudes toward patients (Haddad et al., <xref ref-type="bibr" rid="B38">2021</xref>). However, one study found that knowing COVID-19 patients within their immediate social environment is not related to stigmatizing attitudes toward COVID-19 patients (Hossain et al., <xref ref-type="bibr" rid="B48">2021</xref>). Another study also found that relatives&#x00027; and friends&#x00027; infections are not related to discrimination against COVID-19 survivors (Li et al., <xref ref-type="bibr" rid="B59">2021</xref>).</p></sec></sec>
<sec>
<title>Context</title>
<p>Previous literature has investigated the influence of various contextual factors on stigma toward (suspected) patients and survivors. We organize these studies into three sections: media, policy, and COVID-19 situation.</p>
<sec>
<title>Media</title>
<p>Media factors [e.g., (social) media use (Liu Y. et al., <xref ref-type="bibr" rid="B65">2020</xref>; Yu et al., <xref ref-type="bibr" rid="B121">2020</xref>), lack of public health information (Nursalam et al., <xref ref-type="bibr" rid="B80">2020</xref>), and fake news (Sahoo and Patel, <xref ref-type="bibr" rid="B93">2021</xref>)] can influence stigma toward (suspected) patients and survivors in two ways: (1) low-quality and poorly regulated messages in the media (e.g., misinformation, and irresponsible reporting) may create misconceptions about COVID-19, aggravating stigma toward (suspected) patients and survivors, and (2) (suspected) patients and survivors&#x00027; frequent use of media may increase their stigma perceptions due to exposure to misinformation and stigmatizing messages in the media.</p>
<p>First, low-quality and poorly regulated messages (e.g., misinformation, and irresponsible reporting) contribute to stigma toward (suspected) patients and survivors by creating misconceptions about COVID-19. One qualitative study (Gopichandran and Subramaniam, <xref ref-type="bibr" rid="B33">2021</xref>) and one review (Nursalam et al., <xref ref-type="bibr" rid="B80">2020</xref>) showed that lack of COVID-19 information in the media creates fear and uncertainty, which aggravate stigma toward (suspected) patients and survivors. Misinformation and fake news in the media also create misconceptions about COVID-19, which also contribute to stigma toward (suspected) patients and survivors (Ransing et al., <xref ref-type="bibr" rid="B88">2020</xref>; Gopichandran and Subramaniam, <xref ref-type="bibr" rid="B33">2021</xref>; Sahoo and Patel, <xref ref-type="bibr" rid="B93">2021</xref>). In addition, a qualitative study showed that patients tend to blame irresponsible media reporting (e.g., disclosure of personal information, and false allegation) as the main driver of stigma toward them (Jayakody et al., <xref ref-type="bibr" rid="B50">2021</xref>).</p>
<p>Second, (suspected) patients and survivors&#x00027; frequent social media use may be associated with increased perceived stigma due to increased exposure to misinformation and stigmatizing messages in the media. One study found that residents who spend more than 2 h per day on average on social media report higher levels of stigma experiences because of their suspected COVID-19 status compared with residents who use social media less often (Liu Y. et al., <xref ref-type="bibr" rid="B65">2020</xref>). However, another study did not find a significant relationship between social media use and perceived stigma from COVID-19 (Yuan et al., <xref ref-type="bibr" rid="B122">2021</xref>).</p></sec>
<sec>
<title>Policy</title>
<p>Policy-related factors [e.g., involvement of police (Gopichandran and Subramaniam, <xref ref-type="bibr" rid="B33">2021</xref>), different and conflicting information about COVID-19 and quarantine procedures (Lohiniva et al., <xref ref-type="bibr" rid="B66">2021</xref>)] influence stigma toward (suspected) patients and survivors. The influence of policy-related factors can be understood in two ways: (1) conflicting and inconsistent COVID-19 policies may create uncertainty for (suspected) patients and survivors of their health risks, resulting in higher self-stigma, and (2) inappropriate implementation of health policies may aggravate negative perceptions of COVID-19, which leads (suspect) patients to perceive more stigma.</p>
<p>First, conflicting and inconsistent COVID-19 policies increase (suspected) patients&#x00027; and survivors&#x00027; uncertainty about their health risks, leading to self-stigma (Lohiniva et al., <xref ref-type="bibr" rid="B66">2021</xref>). For example, one study found that different and conflicting information about quarantine procedures positively predicts (suspected) patients&#x00027; self-stigma during quarantine and isolation (Lohiniva et al., <xref ref-type="bibr" rid="B66">2021</xref>).</p>
<p>Second, inappropriate implementation of health policies may aggravate negative perceptions of (suspected) patients and survivors, resulting in more stigma perceptions in these individuals. For example, a qualitative study showed that police involvement in the enforcement of COVID-19 health policies &#x0201C;made people associate COVID-19 with crime&#x0201D; (Gopichandran and Subramaniam, <xref ref-type="bibr" rid="B33">2021</xref>, p. 196), leading to more stigma perceptions. In addition, forced isolation policies also contribute to stigma perceptions among (suspected) patients and survivors (Gopichandran and Subramaniam, <xref ref-type="bibr" rid="B33">2021</xref>).</p></sec>
<sec>
<title>COVID-19 situation</title>
<p>The COVID-19 situation (i.e., number of confirmed COVID-19 cases in a province) influences stigmatizing attitudes toward (suspected) patients and survivors. One study found that living in a province with more confirmed cases is associated with more stigma toward (suspected) COVID-19 patients and survivors probably because having more confirmed cases heightens infection risk, especially in China, where most provinces are categorized as low to medium risk (Jiang et al., <xref ref-type="bibr" rid="B51">2021</xref>).</p></sec></sec></sec>
<sec id="s6">
<title>Antecedents of stigma toward HCWs</title>
<sec>
<title>The stigmatized</title>
<p>Based on literature review, we organize the influences of the stigmatized on their perceived stigma into four sections: demographics, work, health, and coping.</p>
<sec>
<title>Demographics</title>
<p>HCWs&#x00027; demographics (Yadav et al., <xref ref-type="bibr" rid="B116">2020</xref>; Zandifar et al., <xref ref-type="bibr" rid="B124">2020</xref>; Adhikari et al., <xref ref-type="bibr" rid="B2">2021</xref>; Radhakrishnan et al., <xref ref-type="bibr" rid="B87">2021</xref>; Uvais et al., <xref ref-type="bibr" rid="B105">2021</xref>; Khan et al., <xref ref-type="bibr" rid="B53">2022</xref>) have been investigated in the literature. The main logic is that HCWs&#x00027; demographics that reflect higher health risks (e.g., staying at the hospital) are associated with increased perceived stigma. For example, one study (Yadav et al., <xref ref-type="bibr" rid="B116">2020</xref>) found that HCWs who stay in a hostel or accommodations provided by a hospital report higher perceived stigma than those who stay at home. Another study (Adhikari et al., <xref ref-type="bibr" rid="B2">2021</xref>) found that HCWs living with the elderly, who are more prone to infection (Mueller et al., <xref ref-type="bibr" rid="B75">2020</xref>), report higher perceived stigma. However, two studies found no difference in perceived stigma between living with family or not (Radhakrishnan et al., <xref ref-type="bibr" rid="B87">2021</xref>; Uvais et al., <xref ref-type="bibr" rid="B105">2021</xref>).</p>
<p>It is noteworthy that though some scholars suggest that female HCWs may be more vulnerable to stressful environments and more prone to feeling stigmatized (Zandifar et al., <xref ref-type="bibr" rid="B124">2020</xref>), other studies found a null association between gender and perceived stigma (Yadav et al., <xref ref-type="bibr" rid="B116">2020</xref>; Adhikari et al., <xref ref-type="bibr" rid="B2">2021</xref>; Radhakrishnan et al., <xref ref-type="bibr" rid="B87">2021</xref>; Uvais et al., <xref ref-type="bibr" rid="B105">2021</xref>; Khan et al., <xref ref-type="bibr" rid="B53">2022</xref>).</p></sec>
<sec>
<title>Work</title>
<p>HCWs&#x00027; work characteristics [e.g., frontline worker (Adhikari et al., <xref ref-type="bibr" rid="B2">2021</xref>; Khan et al., <xref ref-type="bibr" rid="B53">2022</xref>), and work area (Radhakrishnan et al., <xref ref-type="bibr" rid="B87">2021</xref>)] have been investigated in the literature. HCWs&#x00027; work characteristics that indicate high risk of infection (e.g., frontline HCWs, and clinical vs. non-clinical areas) are associated with higher perceived stigma. For example, two studies found that HCWs working on the front lines report higher perceived stigma (Zandifar et al., <xref ref-type="bibr" rid="B124">2020</xref>; Adhikari et al., <xref ref-type="bibr" rid="B2">2021</xref>). Another study found that HCWs who work in clinical areas (vs. non-clinical areas) report more perceived stigma (Radhakrishnan et al., <xref ref-type="bibr" rid="B87">2021</xref>). Designations reflecting potential contact with the COVID-19 virus, such as resident doctors (vs. faculty/medical officers, Yadav et al., <xref ref-type="bibr" rid="B116">2020</xref>) and surgical department (vs. medicine and critical care, Yadav et al., <xref ref-type="bibr" rid="B116">2020</xref>), have been found to be associated with higher levels of perceived stigma. However, one study found that HCWs working in high-risk vs. low-risk areas do not differ in perceived stigma (Yadav et al., <xref ref-type="bibr" rid="B116">2020</xref>). Moreover, the findings on occupations are rather mixed. For example, one study found that compared with doctors, nurses are more likely to experience stigma (Radhakrishnan et al., <xref ref-type="bibr" rid="B87">2021</xref>), while another found opposite results (Zandifar et al., <xref ref-type="bibr" rid="B124">2020</xref>).</p></sec>
<sec>
<title>Health</title>
<p>HCWs&#x00027; health conditions [e.g., being diagnosed with COVID-19 (Adhikari et al., <xref ref-type="bibr" rid="B2">2021</xref>)] can influence perceived stigma because poor health may increase HCWs&#x00027; fear of infection and anticipated stigma. One study found that only being diagnosed with COVID-19, rather than other health conditions (e.g., being admitted to the hospital due to COVID-19, and chronic diseases), is positively related to perceived stigma among HCWs (Adhikari et al., <xref ref-type="bibr" rid="B2">2021</xref>).</p></sec>
<sec>
<title>Coping</title>
<p>HCWs&#x00027; use of coping strategies [e.g., precautionary measures (Adhikari et al., <xref ref-type="bibr" rid="B2">2021</xref>), and quarantine (Uvais et al., <xref ref-type="bibr" rid="B105">2021</xref>; Khan et al., <xref ref-type="bibr" rid="B53">2022</xref>)] influence perceived stigma for two reasons: (1) HCWs who take sufficient precautionary measures may feel safer and less concerned about potential stigma from patients, leading to decreased perceived stigma, and (2) HCWs who are quarantined may perceive themselves as being at high risk of transmitting the disease, resulting in more perceived stigma.</p>
<p>First, sufficient precautionary measures may decrease HCWs&#x00027; concerns about and fear of infection and stigma from patients, leading to decreased perceived stigma. For example, one study found that HCWs who believe the precautionary measures they are taking are sufficient (vs. insufficient) tend to perceive less stigma (Adhikari et al., <xref ref-type="bibr" rid="B2">2021</xref>).</p>
<p>Second, quarantine signals health risks, which may make HCWs perceive more stigma toward themselves. For example, one study found that being in quarantine is positively related to perceived stigma among physicians in Bangladesh (Khan et al., <xref ref-type="bibr" rid="B53">2022</xref>). However, another study found that a history of quarantine is not related to doctors&#x00027; perceived stigma (Uvais et al., <xref ref-type="bibr" rid="B105">2021</xref>).</p></sec></sec>
<sec>
<title>Stigmatizer</title>
<p>Scholars also investigated how stigmatizers&#x00027; characteristics affect stigma toward HCWs, and we group these studies into three sections: demographics, cognition, and emotions.</p>
<sec>
<title>Demographics</title>
<p>Stigmatizers&#x00027; demographics have been examined in the literature (Cassiani-Miranda et al., <xref ref-type="bibr" rid="B14">2021</xref>). Stigmatizers&#x00027; demographics that indicate higher knowledge of COVID-19 (e.g., HCW occupation vs. general public) are associated with less stigmatizing attitudes. Indeed, one study found that compared with HCWs, individuals in the general population are more likely to adopt stigmatizing attitudes toward HCWs (Cassiani-Miranda et al., <xref ref-type="bibr" rid="B14">2021</xref>).</p></sec>
<sec>
<title>Cognition</title>
<p>Stigmatizers&#x00027; cognition, both general and COVID-19 related, affects stigmatizing attitudes and behavior. Specifically, general cognition that reflects a low sense of control (e.g., feeling of resource scarcity, and low trust in public officials, Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref>) is positively related to stigma toward HCWs as some individuals use stigmatization as a coping mechanism to restore their sense of control. COVID-19-related cognition that reflects dehumanization (e.g., objectification of people returning from Hubei, Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref>) is associated with indifference and instrumental orientation toward affected people, which contributes to stigma toward HCWs.</p>
<p>For general cognition, stigmatizers whose cognition reflects a low sense of control are more likely to stigmatize HCWs as a way to restore their sense of control. For example, one study found that the feeling of resource scarcity and the need to belong are positively related to stigmatization and discrimination toward HCWs (Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref>). At the same time, trust in health experts, but not trust in public officials or the general public, is negatively associated with stigmatization and discrimination toward HCWs.</p>
<p>For COVID-19-related cognition, stigmatizers&#x00027; objectification cognition denies individuals&#x00027; humanity and leads to perceptions of people as &#x0201C;possible sources of infection&#x0201D; (Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref>, p 8), which contributes to stigma toward HCWs. Indeed, one study found that the objectification of people returning to Hubei is a powerful predictor for stigmatization and discrimination toward HCWs (Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref>).</p></sec>
<sec>
<title>Emotion</title>
<p>Research on stigmatizers&#x00027; emotions has focused on COVID-19-related emotions, such as fear (Taylor et al., <xref ref-type="bibr" rid="B99">2020</xref>; Cassiani-Miranda et al., <xref ref-type="bibr" rid="B14">2021</xref>; Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref>) and stress (Taylor et al., <xref ref-type="bibr" rid="B99">2020</xref>) toward COVID-19. These emotions affect stigma because stigmatization is used as a coping mechanism for negative emotions arising from the pandemic. For example, research has found that fear (Taylor et al., <xref ref-type="bibr" rid="B99">2020</xref>; Cassiani-Miranda et al., <xref ref-type="bibr" rid="B14">2021</xref>; Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref>) and stress (Taylor et al., <xref ref-type="bibr" rid="B99">2020</xref>) toward COVID-19 are positively associated with stigma toward HCWs. However, other studies did not find a significant relationship between other emotions (e.g., optimism, Chen et al., <xref ref-type="bibr" rid="B19">2021a</xref>) and stigma<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref>.</p></sec></sec></sec>
<sec id="s7">
<title>Outcomes of stigma toward Chinese/Asian people</title>
<p>For each stigma target, we categorize the outcomes of COVID-19-related stigma into two broad sections: health and non-health outcomes.</p>
<sec>
<title>Health</title>
<p>We organize health outcomes of stigma toward Chinese/Asian people into mental and physical health.</p>
<sec>
<title>Mental health</title>
<p>Empirical studies have investigated the influence of stigma on Chinese/Asian people&#x00027;s mental health, such as depression, anxiety, and mental disorders. Stigma negatively influences Chinese/Asian people&#x00027;s mental health because stigma communicates hostility and diminishes the value of stigmatized groups, which threatens their sense of identity, control, and self-worth. Indeed, findings generally show that stigma toward Chinese/Asian people is associated with depression (Cheah et al., <xref ref-type="bibr" rid="B15">2020</xref>; Litam and Oh, <xref ref-type="bibr" rid="B61">2020</xref>, <xref ref-type="bibr" rid="B62">2021</xref>; Hahm et al., <xref ref-type="bibr" rid="B41">2021a</xref>,<xref ref-type="bibr" rid="B42">b</xref>; Lee and Waters, <xref ref-type="bibr" rid="B58">2021</xref>), anxiety (Cheah et al., <xref ref-type="bibr" rid="B15">2020</xref>; Yang and Wong, <xref ref-type="bibr" rid="B119">2020</xref>; Adhikari et al., <xref ref-type="bibr" rid="B2">2021</xref>; Chen X. et al., <xref ref-type="bibr" rid="B18">2021</xref>; Haft and Zhou, <xref ref-type="bibr" rid="B40">2021</xref>; Hahm et al., <xref ref-type="bibr" rid="B41">2021a</xref>,<xref ref-type="bibr" rid="B42">b</xref>; Lee and Waters, <xref ref-type="bibr" rid="B58">2021</xref>), fear (Hahm et al., <xref ref-type="bibr" rid="B42">2021b</xref>), mental disorders (Wu C. et al., <xref ref-type="bibr" rid="B112">2021</xref>), psychological distress (Chen et al., <xref ref-type="bibr" rid="B20">2021b</xref>; Fan et al., <xref ref-type="bibr" rid="B29">2021</xref>; Maglalang et al., <xref ref-type="bibr" rid="B69">2021</xref>), anger (Chen X. et al., <xref ref-type="bibr" rid="B18">2021</xref>), grief (Chen X. et al., <xref ref-type="bibr" rid="B18">2021</xref>), internalizing and externalizing problems (Cheah et al., <xref ref-type="bibr" rid="B15">2020</xref>), post-traumatic stress disorder (PTSD) (Hahm et al., <xref ref-type="bibr" rid="B41">2021a</xref>), and decreased psychological well-being (Cheah et al., <xref ref-type="bibr" rid="B15">2020</xref>), life satisfaction (Litam and Oh, <xref ref-type="bibr" rid="B61">2020</xref>, <xref ref-type="bibr" rid="B62">2021</xref>), and self-esteem (Alsawalqa, <xref ref-type="bibr" rid="B7">2021</xref>). For example, one study found that COVID-19-related racial discrimination, especially the in-person direct form, is negatively associated with multiple adverse mental health indices for both Chinese American parents and youth, such as depressive symptoms, anxiety symptoms, and poor psychological wellbeing (Cheah et al., <xref ref-type="bibr" rid="B15">2020</xref>).</p></sec>
<sec>
<title>Physical health</title>
<p>Research found that stigma affects Chinese/Asian people&#x00027;s physical health (e.g., sleep difficulties and self-rated health) because poor mental health resulting from stigma perceptions may further negatively impact their physical health. Indeed, one study found that racial discrimination during the COVID-19 pandemic is positively related to sleep difficulties and physical symptoms (e.g., headaches) in a sample of Asians and Asian Americans (Lee and Waters, <xref ref-type="bibr" rid="B58">2021</xref>). They further found that social support buffers against the negative impact of discrimination on physical symptoms but not on sleep difficulties.</p></sec></sec>
<sec>
<title>Non-health</title>
<p>The non-health outcomes of stigma toward Chinese/Asian people are mainly social activity-related outcomes.</p>
<sec>
<title>Social activity</title>
<p>Studies have found that perceived stigma affects Chinese/Asian people&#x00027;s social activities and social life (e.g., avoidance of social activities). Two mechanisms explain the social impacts of perceived stigma on Chinese/Asian people: (1) Chinese/Asian people who perceive higher stigma tend to avoid in-person social interaction and prefer interacting in virtual spaces because their stigmatized identity is more salient offline, and (2) Chinese/Asian people who perceive stigma tend to engage in altruistic behavior to improve their group&#x00027;s image.</p>
<p>First, Chinese/Asian people who perceive higher stigma tend to avoid in-person social interaction but not online interaction because they fear disclosing their stigmatized identity in real life. For example, a qualitative study showed that one of the outcomes of COVID-19-related anti-Asian discrimination is avoidance (Hahm et al., <xref ref-type="bibr" rid="B42">2021b</xref>). One study found that perceived discrimination since the COVID-19 outbreak is negatively related to interacting with friends, indicating withdrawal from social activities (Chen et al., <xref ref-type="bibr" rid="B20">2021b</xref>). In addition, another study found that experiencing discrimination is positively related to social media use, including posting, commenting, browsing, and private messaging (Yang et al., <xref ref-type="bibr" rid="B118">2020</xref>).</p>
<p>Second, Chinese/Asian people who perceive higher stigma tend to engage in altruistic behavior to improve their group&#x00027;s image. For example, one study found that perceived stigma is positively related to altruistic tendencies through emotional mechanism (e.g., grief) in a Chinese sample (Chen X. et al., <xref ref-type="bibr" rid="B18">2021</xref>).</p></sec></sec></sec>
<sec id="s8">
<title>Outcomes of stigma toward (suspected) patients and survivors</title>
<sec>
<title>Health</title>
<p>The health outcomes of stigma toward (suspected) patients and survivors can be categorized into mental and physical health.</p>
<sec>
<title>Mental health</title>
<p>The influence of stigma on (suspected) patients&#x00027; and survivors&#x00027; mental health (e.g., depression, feelings of loneliness, and wellbeing) has received much research attention. Stigma negatively affects (suspected) patients&#x00027; and survivors&#x00027; mental health because the stigmatized perceive themselves as alienated, isolated, and belonging to a devalued group and perceive stigma as unfair. Indeed, empirical findings generally show that stigma harms (suspected) patients&#x00027; and survivors&#x00027; mental health and leads to issues like depression (Liu D. et al., <xref ref-type="bibr" rid="B63">2020</xref>; Xin et al., <xref ref-type="bibr" rid="B114">2020</xref>; Grover et al., <xref ref-type="bibr" rid="B36">2021</xref>; Harjana et al., <xref ref-type="bibr" rid="B44">2021</xref>; Jayakody et al., <xref ref-type="bibr" rid="B50">2021</xref>; Kang et al., <xref ref-type="bibr" rid="B52">2021</xref>; Yuan et al., <xref ref-type="bibr" rid="B122">2021</xref>), anxiety (Liu D. et al., <xref ref-type="bibr" rid="B63">2020</xref>; Atinga et al., <xref ref-type="bibr" rid="B9">2021</xref>; Gopichandran and Subramaniam, <xref ref-type="bibr" rid="B33">2021</xref>; Grover et al., <xref ref-type="bibr" rid="B36">2021</xref>; Harjana et al., <xref ref-type="bibr" rid="B44">2021</xref>; Jayakody et al., <xref ref-type="bibr" rid="B50">2021</xref>; Kang et al., <xref ref-type="bibr" rid="B52">2021</xref>), mental health disorders (Adom et al., <xref ref-type="bibr" rid="B3">2021</xref>; Miconi et al., <xref ref-type="bibr" rid="B73">2021a</xref>; Paleari et al., <xref ref-type="bibr" rid="B82">2021</xref>), lower well-being (Ransing et al., <xref ref-type="bibr" rid="B88">2020</xref>; Al Eid et al., <xref ref-type="bibr" rid="B5">2021</xref>; Paleari et al., <xref ref-type="bibr" rid="B82">2021</xref>; Sahoo and Patel, <xref ref-type="bibr" rid="B93">2021</xref>), PTSD (Liu D. et al., <xref ref-type="bibr" rid="B63">2020</xref>; Grover et al., <xref ref-type="bibr" rid="B36">2021</xref>; Kang et al., <xref ref-type="bibr" rid="B52">2021</xref>; Mahmoudi et al., <xref ref-type="bibr" rid="B70">2021</xref>; Poyraz et al., <xref ref-type="bibr" rid="B85">2021</xref>; Gan et al., <xref ref-type="bibr" rid="B30">2022</xref>), and even self-harm or suicide (Ransing et al., <xref ref-type="bibr" rid="B88">2020</xref>; Xin et al., <xref ref-type="bibr" rid="B114">2020</xref>; Sahoo and Patel, <xref ref-type="bibr" rid="B93">2021</xref>). For example, in a large sample involving more than 20,000 Chinese students, one study found that perceived discrimination due to COVID-19 is positively related to self-harm or suicidal ideation (Xin et al., <xref ref-type="bibr" rid="B114">2020</xref>).</p></sec>
<sec>
<title>Physical health</title>
<p>Stigma toward (suspected) patients and survivors also harms their physical health (Earnshaw et al., <xref ref-type="bibr" rid="B27">2020</xref>; Ransing et al., <xref ref-type="bibr" rid="B88">2020</xref>; Atinga et al., <xref ref-type="bibr" rid="B9">2021</xref>; Bhanot et al., <xref ref-type="bibr" rid="B10">2021</xref>; Lohiniva et al., <xref ref-type="bibr" rid="B66">2021</xref>; Mahmoudi et al., <xref ref-type="bibr" rid="B70">2021</xref>; Poyraz et al., <xref ref-type="bibr" rid="B85">2021</xref>). The influence of stigma toward (suspected) patients and survivors on their physical health can be understood in two ways: (1) (suspected) patients and survivors&#x00027; poor mental health resulting from perceived stigma further deteriorates their physical health conditions, and (2) (suspected) patients and survivors try to avoid stigma by concealing COVID-19-related symptoms and delaying treatment, which threatens one&#x00027;s own physical health.</p>
<p>First, (suspected) patients and survivors&#x00027; poor mental health resulting from perceived stigma negatively impacts their physical health conditions. For example, one study found that self-stigma is associated with insomnia and poor physical quality of life <italic>via</italic> poor mental health (Mahmoudi et al., <xref ref-type="bibr" rid="B70">2021</xref>). A qualitative study also documented various adverse physical health consequences for patients who have experienced stigma, such as delays in recovery, insomnia, and eating disorders (Atinga et al., <xref ref-type="bibr" rid="B9">2021</xref>).</p>
<p>Second, (suspected) patients and survivors try to avoid stigma by concealing COVID-19-related symptoms and delaying treatment, which threatens one&#x00027;s own physical health. For example, one study found that stigma toward COVID-19 patients&#x02014;both anticipated stigma and stereotypes&#x02014;is negatively related to COVID-19 testing because people want to avoid being labeled as having the stigmatized disease (Earnshaw et al., <xref ref-type="bibr" rid="B27">2020</xref>). Another study showed that one of the outcomes of perceived stigma among patients is reluctance to disclose their COVID-19 status (Lohiniva et al., <xref ref-type="bibr" rid="B66">2021</xref>). Moreover, delayed testing and concealment of symptoms could hinder progress toward controlling COVID-19 and thereby threaten public health (Bhanot et al., <xref ref-type="bibr" rid="B10">2021</xref>; Lohiniva et al., <xref ref-type="bibr" rid="B66">2021</xref>).</p></sec></sec>
<sec>
<title>Non-health</title>
<p>Research on the non-health outcomes of stigma toward (suspected) patients and survivors has focused on three aspects: social activity, work, and coping.</p>
<sec>
<title>Social activity</title>
<p>Stigma toward (suspected) patients and survivors negatively affects their social interaction (Atinga et al., <xref ref-type="bibr" rid="B9">2021</xref>; Lohiniva et al., <xref ref-type="bibr" rid="B66">2021</xref>) because they worry about and fear being stigmatized when disclosing their COVID-19 status during interactions. For example, one study interviewed COVID-19 patients and found that social withdrawal is a common consequence of experiencing stigma (Atinga et al., <xref ref-type="bibr" rid="B9">2021</xref>).</p></sec>
<sec>
<title>Work</title>
<p>Stigma toward (suspected) patients and survivors may negatively affect their work outcomes <italic>via</italic> lowering work motivation and engagement (Ransing et al., <xref ref-type="bibr" rid="B88">2020</xref>). Stigma toward (suspected) patients and survivors may aggravate poverty and social inequality because the stigmatized may suffer from unemployment (Ransing et al., <xref ref-type="bibr" rid="B88">2020</xref>).</p></sec>
<sec>
<title>Coping</title>
<p>Stigma may have two-sided effects on (suspected) patients&#x00027; and survivors&#x00027; coping strategies: (1) (suspected) patients and survivors increase their compliance with health guidelines because they hope to eliminate the risk of transmitting COVID-19 and end their stigmatization; (2) they may reduce their use of coping strategies to avoid being identified and stigmatized. For example, a qualitative study found that increased compliance with health guidelines is a strategy used by (suspected) patients to avoid stigma (Lohiniva et al., <xref ref-type="bibr" rid="B66">2021</xref>). However, a review paper discussed that due to fear of being stigmatized, (suspected) patients may avoid using coping strategies, such as self-isolation (Saeed et al., <xref ref-type="bibr" rid="B92">2020</xref>).</p></sec></sec></sec>
<sec id="s9">
<title>Outcomes of stigma toward HCWs</title>
<sec>
<title>Health</title>
<p>Studies on the health outcomes of stigma toward HCWs have examined both mental and physical health outcomes.</p>
<sec>
<title>Mental health</title>
<p>Empirical findings generally show that stigma toward HCWs harms their mental health [e.g., depression (Elhadi et al., <xref ref-type="bibr" rid="B28">2020</xref>; Khanal et al., <xref ref-type="bibr" rid="B54">2020</xref>; Teksin et al., <xref ref-type="bibr" rid="B100">2020</xref>; Campo-Arias et al., <xref ref-type="bibr" rid="B13">2021</xref>; Greene et al., <xref ref-type="bibr" rid="B34">2021</xref>; Kirk et al., <xref ref-type="bibr" rid="B55">2021</xref>), anxiety (Elhadi et al., <xref ref-type="bibr" rid="B28">2020</xref>; Khanal et al., <xref ref-type="bibr" rid="B54">2020</xref>; Teksin et al., <xref ref-type="bibr" rid="B100">2020</xref>; Campo-Arias et al., <xref ref-type="bibr" rid="B13">2021</xref>; Greene et al., <xref ref-type="bibr" rid="B34">2021</xref>; Kirk et al., <xref ref-type="bibr" rid="B55">2021</xref>), burnout (Patel et al., <xref ref-type="bibr" rid="B83">2021</xref>; Shiu et al., <xref ref-type="bibr" rid="B95">2022</xref>), and suicide risk (Campo-Arias et al., <xref ref-type="bibr" rid="B13">2021</xref>)]. The negative impacts of stigma on HCWs may be due to compromised work meaningfulness and diminished self-esteem and self-worth. For example, one study found that perceived stigma is significantly associated with anxiety, depression, and PTSD (Teksin et al., <xref ref-type="bibr" rid="B100">2020</xref>). Two other studies also showed that perceived stigma is positively related to burnout among HCWs (Patel et al., <xref ref-type="bibr" rid="B83">2021</xref>; Shiu et al., <xref ref-type="bibr" rid="B95">2022</xref>).</p></sec>
<sec>
<title>Physical health</title>
<p>The negative influence of stigma on HCWs&#x00027; mental health may further affect their physical health (Khanal et al., <xref ref-type="bibr" rid="B54">2020</xref>; Teksin et al., <xref ref-type="bibr" rid="B100">2020</xref>). For example, one study found that experienced stigma is positively related to insomnia among HCWs (Khanal et al., <xref ref-type="bibr" rid="B54">2020</xref>).</p></sec></sec>
<sec>
<title>Non-health</title>
<p>Studies on the non-health outcomes of stigma toward HCWs can be organized into two sections: work and coping outcomes.</p>
<sec>
<title>Work</title>
<p>Stigma toward HCWs may increase their turnover intention as a way to avoid the stigmatized identity. For example, in a sample of frontline nurses, one study found that perceived COVID-19-associated discrimination is positively related to turnover intention (Labrague et al., <xref ref-type="bibr" rid="B56">2021</xref>).</p></sec>
<sec>
<title>Coping</title>
<p>Stigma affects HCWs&#x00027; coping strategies because they may increase the use of maladaptive coping strategies to manage the negative influence of stigma. A qualitative study found that increased alcohol use was one response to being stigmatized (Zolnikov and Furio, <xref ref-type="bibr" rid="B126">2020</xref>).</p></sec></sec></sec>
<sec sec-type="conclusions" id="s10">
<title>Conclusion</title>
<p>Based on our review, we present three major findings in this paper. First, we identify the three most researched targets of COVID-19-related stigma: Chinese/Asian people, (suspected) patients and survivors, and healthcare workers (HCWs). Second, we reveal that for each stigma target, research on the antecedents of COVID-19-related stigma has examined characteristics of the stigmatized, stigmatizer, and context. We organize the characteristics of the stigmatized into seven sections (i.e., demographics, work, cognition, emotion, health, coping, and social interaction), the characteristics of stigmatizer into six sections (i.e., demographics, cognition, emotion, health, coping, and social interaction), and the characteristics of context into four sections (i.e., culture, media, policy, and COVID-19 situation). Third, we find that COVID-19-related stigma has severe negative impacts on victims&#x00027; health (i.e., mental and physical health outcomes) and non-health outcomes (i.e., social activity, work, and coping).</p></sec>
<sec id="s11">
<title>Suggestions for research</title>
<p>This review aims to assess the antecedents and consequences of COVID-19-related stigma toward three groups: Chinese/Asian people, (suspected) patients and survivors, and HCWs. We identified three areas for improvement and call on future research to expand the current focus and use rigorous research methods to examine the rather neglected research topics associated with COVID-19-related stigma.</p>
<p>First, future research should provide a more balanced picture of the targets, antecedents, and consequences of COVID-19-related stigma. From our review, the distribution of research on these topics is uneven. Specifically, for the stigmatized targets, current research has paid more attention to (suspected) patients and survivors as the victims of COVID-19-related stigma compared to the other two targets (i.e., Chinese/Asian people and HCWs), which may limit our comprehensive understanding of COVID-19-related stigma. Thus, we urge more future work to examine Chinese/Asian people and HCWs as the stigmatized targets. In addition, HCWs constitute a unique target of COVID-19-related stigma because they are being stigmatized as well as being recognized at the same time (Nashwan et al., <xref ref-type="bibr" rid="B77">2022a</xref>), which may require further theorizing and investigation about their stigma-related psychological process. For the antecedents, research targeting Chinese/Asian people has evenly focused on exploring the antecedents of the stigmatized, stigmatizer, and context, while research targeting (suspected) patients and survivors has focused more on antecedents of stigmatizer and research targeting HCWs has tended to ignore the antecedents of context, which may limit our complete understanding of how to reduce or even prevent COVID-19-related stigma. Indeed, a large-scale study of 1,726 health care providers across seven countries shows that their nationality is significantly associated with all items of the Stigma COVID-19 Healthcare Providers tool, which suggests that national level differences may contribute to HCWs&#x00027; COVID-19-related stigma perception (Nashwan et al., <xref ref-type="bibr" rid="B78">2022b</xref>). Thus, we urge more future work to explore the lesser noticed antecedents&#x02014;for example, third-party&#x00027;s reactions to discriminatory and prejudicial behaviors posed by stigmatizers may serve as a helping hand for victims and potentially reduce COVID-19-related stigma (Liu et al., <xref ref-type="bibr" rid="B64">2021</xref>). For the outcomes, research has mainly investigated the health outcomes (especially mental health) of COVID-19-related stigma at the expense of ignoring important non-health outcomes, which may overlook the opportunity to detect social problems that result from COVID-19-related stigma at early stage. Thus, we urge future work to explore the non-health effects of COVID-19-related stigma for all three groups. For example, future research may examine how COVID-19-related stigma affects these groups&#x00027; economic, work, and family outcomes.</p>
<p>Second, future research should investigate interventions for COVID-19-related stigma. Researchers have generally acknowledged that interventions are a vital and effective way to decrease COVID-19-related stigma in the discussion sections of their articles. However, there has been little empirical evidence evaluating the effectiveness of such interventions (Teksin et al., <xref ref-type="bibr" rid="B100">2020</xref>; Gronholm et al., <xref ref-type="bibr" rid="B35">2021</xref>; Valeri et al., <xref ref-type="bibr" rid="B106">2021</xref>), which may make it difficult to provide evidence-based practice or policy suggestions for how to reduce COVID-19-related stigma. As an exceptional example, one study showed that HCWs&#x00027; emotion-focused and problem-focused coping strategies are negatively related to stigma perceptions (Teksin et al., <xref ref-type="bibr" rid="B100">2020</xref>). Thus, we suggest that future research conduct field experiments to propose interventions on COVID-19-related stigma and evaluate the effects of these interventions. For example, future research could draw on our review and explore how interventions aimed at different aspects of antecedents could help mitigate COVID-19-related stigma (e.g., for the stigmatized: psychological counseling or training; for stigmatizer: interaction with the stigmatized; for context: legislation). In addition, future research may draw on the PICO (patient/population, intervention, comparison and outcomes) framework to examine if one intervention is superior to another intervention in reducing COVID-19-related stigma for a specific target.</p>
<p>Third, future research could conduct more longitudinal studies of COVID-19-related stigma. By reviewing the extant literature, we found that most research has used cross-sectional or qualitative data, while few studies have used longitudinal data to examine the long-term effects of COVID-19-related stigma, which limits our understanding of the causal relationships between COVID-19-related antecedents and stigma and between COVID-19-related stigma and outcomes. In addition, the use of cross-sectional data fails to capture the fluctuations and trends of COVID-19-related stigma. An exceptional example showed that perceived discrimination due to COVID-19 increased from mid-March to mid-April 2020 and then decreased significantly by early June 2020 (Robinson and Daly, <xref ref-type="bibr" rid="B89">2021</xref>). Thus, longitudinal studies are needed to examine the trajectory of COVID-19-related stigma, which may inform research and practice on what contributes to COVID-19-related stigma changes and its consequences.</p></sec>
<sec id="s12">
<title>Suggestions for institutions (especially governments)</title>
<p>Our review also offers three suggestions for governments and institutions on how to deal with COVID-19-related stigma. First, governments and institutions should pay close attention to the stigma issue during the pandemic. Our review showed that COVID-19 not only is a major public health issue but also engenders serious secondary threats to broader society (Yam et al., <xref ref-type="bibr" rid="B117">2020</xref>; Harjana et al., <xref ref-type="bibr" rid="B44">2021</xref>; Lee and Waters, <xref ref-type="bibr" rid="B58">2021</xref>) because the stigma that accompanies COVID-19 also brings serious health and non-health consequences for victims spanning multiple groups and countries (Duan et al., <xref ref-type="bibr" rid="B26">2020</xref>; Xu et al., <xref ref-type="bibr" rid="B115">2021</xref>). Therefore, we call for governments and institutions to pay close attention not only to the treatment and prevention of COVID-19 as a disease but also to the problem of and solutions for COVID-19-related stigma. For example, the ministries of public health could focus more on disseminating reliable and updated health information to the public to restore people&#x00027;s confidence in interacting with other people and alleviate COVID-19-related stigma. In addition, hospitals and communities could provide follow-up consultations for COVID-19 survivors after their discharge.</p>
<p>Second, governments and institutions should protect the personal information of stigmatized groups. Our findings revealed that once individuals are stigmatized, their health and lives suffer greatly. This problem may be especially severe for certain groups that lack resources and are more vulnerable to COVID-19-related stigma, such as people with low SES, and minorities. As a result, COVID-19-related stigma could result in a widened gap between the rich and the poor as well as aggravated social inequality. Therefore, we believe that the first step governments and institutions could take is to protect stigmatized targets&#x00027; personal information and avoid disclosing any personally identifiable information that would lead to these people being identified and stigmatized. For example, the ministries of justice and the ministries of home affairs could implement laws, public policies, or guidance on restrictions of collecting and using personal information to protect targets&#x00027; privacy. Similarly, officially published COVID-19 information should be de-identified and anonymized.</p>
<p>Third, we urge both traditional and social media outlets to take responsibility for alleviating stigma toward all groups. Our findings revealed that due to the prevalence of low-quality content in media, usage of media is generally found to be positively related to stigma for both stigmatizer and the stigmatized (Croucher et al., <xref ref-type="bibr" rid="B22">2020</xref>; Dhanani and Franz, <xref ref-type="bibr" rid="B24">2020</xref>, <xref ref-type="bibr" rid="B25">2021</xref>; Duan et al., <xref ref-type="bibr" rid="B26">2020</xref>; Tsai et al., <xref ref-type="bibr" rid="B103">2020</xref>; Yu et al., <xref ref-type="bibr" rid="B121">2020</xref>; Cho et al., <xref ref-type="bibr" rid="B21">2021</xref>; Haft and Zhou, <xref ref-type="bibr" rid="B40">2021</xref>). Therefore, we urge both traditional and social media outlets to take responsibility for their journalistic professionalism, ensuring that they publish correct, fair, and scientific information and avoid using stigmatizing words. In addition, the algorithms used by social media outlets to create newsfeeds may contribute to stigma by reinforcing biased beliefs or negative judgments toward stigmatized groups (Dhanani and Franz, <xref ref-type="bibr" rid="B24">2020</xref>; Duan et al., <xref ref-type="bibr" rid="B26">2020</xref>; Cho et al., <xref ref-type="bibr" rid="B21">2021</xref>). Therefore, we propose that social media platforms improve current algorithms that may exacerbate the problem of opinion polarization and even work on developing algorithms and new technologies that can control the spread of fake news and stigmatizing messages on social media.</p></sec>
<sec id="s13">
<title>Limitations</title>
<p>Our results may be subject to limitations related to the selection process of eligible studies. We did not assess the quality of papers that are included in our literature review, which may limit the validity of our results. However, including studies in a variety of sources could reduce publication bias (Song et al., <xref ref-type="bibr" rid="B97">2013</xref>) and provide a broader and more representative overview of the COVID-19-related stigma issue. Therefore, studies that are published in outlets other than the first-tier journals are also included in our systematic review. In addition, our search is based on Google Scholar. Although Google Scholar offers a wide range of sources and is widely used in other review work (Haddaway et al., <xref ref-type="bibr" rid="B39">2015</xref>), we may overlook eligible studies by solely using it as our database. Furthermore, we exclude studies that are in languages other than English, which could lead to a potential risk of bias. Coupled with studies published in other languages and databases, we hope future research to move closer to a more well-rounded understanding of the COVID-19-related stigma issue.</p></sec>
<sec sec-type="data-availability" id="s14">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s18">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p></sec>
<sec id="s15">
<title>Author contributions</title>
<p>XZ, CC, YY, JX, and XQ contributed to the conception, design, and implementation of this research. XZ, CC, YY, JX, LC, and XQ contributed to the writing of the manuscript. All authors contributed to the article and approved the submitted version.</p></sec>
<sec sec-type="funding-information" id="s16">
<title>Funding</title>
<p>This research was supported by two grants funded by National Natural Science Foundation of China (Grant Nos. 72272155 and 71872190), awarded to XQ, a grant funded by National Natural Science Foundation of China (Grant No. 71702202), and Fundamental Research Funds for the Central Universities (Grant No. 19wkpy17), awarded to CC.</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>
<sec sec-type="disclaimer" id="s17">
<title>Publisher&#x00027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
</body>
<back>
<sec sec-type="supplementary-material" id="s18">
<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/fpsyg.2022.1026712/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1026712/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Presentation_1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/></sec>
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<fn-group>
<fn id="fn0001"><p><sup>1</sup>We did not include context section for HCWs due to lack of research.</p></fn>
</fn-group>
</back>
</article>