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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2021.642874</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Does Ethnic Diversity Impact on Risk Perceptions, Preparedness, and Management of Heat Waves?</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Siman-Tov</surname> <given-names>Maya</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Vanderplanken</surname> <given-names>Kirsten</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1411565/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Guha-Sapir</surname> <given-names>Debarati</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>van Loenhout</surname> <given-names>Joris A. F.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/563499/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Adini</surname> <given-names>Bruria</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/113466/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Magen David Adom</institution>, <addr-line>Tel Aviv</addr-line>, <country>Israel</country></aff>
<aff id="aff2"><sup>2</sup><institution>Centre for Research on the Epidemiology of Disasters, Institute of Health and Society, Universit&#x000E9; Catholique de Louvain</institution>, <addr-line>Brussels</addr-line>, <country>Belgium</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Emergency Management and Disaster Medicine, Sackler Faculty of Medicine, School of Public Health, Tel Aviv University</institution>, <addr-line>Tel Aviv</addr-line>, <country>Israel</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Alesia Coralie Ferguson, North Carolina Agricultural and Technical State University, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Mahmuda Yasmin, University of Dhaka, Bangladesh; Zhiwei Xu, The University of Queensland, Australia</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Bruria Adini <email>adini&#x00040;tauex.tau.ac.il</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Environmental health and Exposome, a section of the journal Frontiers in Public Health</p></fn></author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>9</volume>
<elocation-id>642874</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>12</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>07</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Siman-Tov, Vanderplanken, Guha-Sapir, van Loenhout and Adini.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Siman-Tov, Vanderplanken, Guha-Sapir, van Loenhout and Adini</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>Detrimental health impacts of heatwaves, including excess mortality, are increasing worldwide. To assess risk perceptions, protective knowledge and behaviors concerning heatwaves in Israel, a study was initiated, comparing attitudes of majority (Jewish) and minority (Arab) populations. A quantitative survey was disseminated through an internet panel, to a representative sample of 556 individuals (79% Jews; 21% Arabs). Overall, 74% consider heatwaves a problem, 93% believe that heatwaves&#x00027; frequencies will increase, 27% are very concerned about the effects of heatwaves. Higher levels of awareness to heatwaves were found among Jewish compared to Arab respondents; 90 vs. 77% (respectively) could name heatwaves&#x00027; symptoms (<italic>p</italic> &#x0003C; 0.001); 81 vs. 56% (respectively) reported knowing how to protect themselves (<italic>p</italic> &#x0003C; 0.001); 74 vs. 47% (respectively) reported knowing what to do when someone suffers from heat stroke (<italic>p</italic> &#x0003C; 0.001). Arab compared to Jewish respondents presented higher levels of concern about heatwaves&#x00027; effects (3.22 vs. 3.09 respectively; <italic>t</italic> &#x02212;2.25, <italic>p</italic> = 0.03), while knowledge of protective measures was higher among Jews compared to Arabs (3.67 vs. 3.56 <italic>t</italic> = 2.13 <italic>p</italic> = 0.04). A crucial component of enhancing preparedness to heatwaves is empowerment of minority as well as majority groups, to strengthen their capacity to implement protective behavior and elevate their self-belief in their individual ability and fortitude.</p></abstract>
<kwd-group>
<kwd>heat waves</kwd>
<kwd>risk perception</kwd>
<kwd>risk awareness</kwd>
<kwd>ethnic diversity</kwd>
<kwd>emergency preparedness</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="37"/>
<page-count count="9"/>
<word-count count="5795"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Heat waves are usually defined based on their relative reference period and thresholds of very high temperatures during sustained periods of time (<xref ref-type="bibr" rid="B1">1</xref>&#x02013;<xref ref-type="bibr" rid="B3">3</xref>). Despite the lack of an overall consensus on the definition of heat waves, most scientists and practitioners classify them according to their frequency, intensity, duration and timing, in relation to specific geographic areas (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Heat waves are expected to intensify, become more frequent and continue for longer durations, especially due to climate change and global warming (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Furthermore, their impact on the public health of diverse populations worldwide is anticipated to increase, even more than was seen in the past decades (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Unless prepared for and mitigated, extreme temperatures can have detrimental health impacts, including excess mortality, even among communities that are accustomed to recurring heat waves (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). In the past two decades, heat waves caused excess mortality in many countries, ranging from an increase of 38% (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>) to more than 135% (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Sustained heat waves pose a substantial risk for vulnerable populations, including the elderly, young children, individuals that suffer from respiratory or cardiovascular diseases, as well as tourists or migrants that are not accustomed to similar weather conditions or cannot understand heat wave warnings due to language barriers (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B13">13</xref>). When exposed to extreme temperature environments to which they are not physically accustomed, vulnerable populations become more susceptible to morbidity and even death (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Beyond physical morbidity and mortality, heat waves are also reported for their potentially severe impact on &#x0201C;mental health and societal wellbeing&#x0201D; (<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>Previous studies have highlighted the need to conduct multi-city investigations concerning the impact of heatwaves on varied populations (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B16">16</xref>). It has been recommended that research of heat waves be conducted not only on national scales, but rather by comparing varied spatial, local and regional levels and by comparing different sectors of the population (<xref ref-type="bibr" rid="B5">5</xref>). This is vital as the impacts of heat waves are not derived solely from the extreme temperature but are also determined by socio-economic status, levels of emergency preparedness, and access to protective measures such as air conditioning or cooling systems (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>Implementation of preparatory measures in societies contributes to a significant reduction of negative health impacts (<xref ref-type="bibr" rid="B7">7</xref>). Introduction of protective means is an important component of heat wave risk management, aimed to mitigate the potential risks to public health (<xref ref-type="bibr" rid="B19">19</xref>). National, regional and local heat wave plans and effective risk communication campaigns are aimed to enhance adaptive behavior of the population and substantially mitigate detrimental health effects (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>Ethnic differences may play a vital role in the population&#x00027;s risk perceptions and capacity to adapt their behavior to effectively manage the consequences of heat waves (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Studies have presented that varied ethnic affiliations may be related to a higher vulnerability to heat waves (resulting from socio-economic and cultural-behavioral differences), such as among African American populations in the US or indigenous Australians, resulting in increased rates of morbidity and mortality (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>). As ethnicity may impact on both risk perception as well as coping behaviors, there is a need to study the effects of ethnicity on heat wave vulnerability for majority and minority populations (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>Reducing health inequalities is one of the Strategic Development Goals (SDGs) adopted by the international community, which directly relates to accessibility of all ethnicities to health services. The Israeli society consists of diverse ethnicities, among which almost 80% of the population are Jewish and 20% are non-Jews, consisting of Muslim, Bedouin and Christian Arabs. Arab Israelis vs. Jewish Israelis are considered two different ethnicities, due to variance concerning the religious, cultural, language, norms, values as well as tradition diversities. Despite the universal health coverage that entitles all residents to access a basic basket of medical services, inequities in risk perceptions, varied levels of trust in the medical systems and dissimilar degrees of accessibility to healthcare services were reported (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>Considering the frequent heat waves that occur in the Middle East, their impact on varied sectors of the population, the potential diversity in their risk perceptions and adoption of protective measures, a study was implemented, designed to assess the risk perception, protective knowledge and behavior concerning heat waves in three geographic locations in Israel, comparing the views and attitudes of both majority (Jewish Israeli) and minority (Arab Israeli) populations. The study was conducted as part of a European consortium&#x02014;the EC-funded SCORCH project (grant agreement no. 826565), designed to foster a cross-country culture of preparedness, prevention, mitigation and cooperation regarding heat waves.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Participants</title>
<p>The study was conducted among a sample of the Israeli population, representing the overall proportion of the two main ethnicities, in three specific locations. According to calculation of OpenEpi (<ext-link ext-link-type="uri" xlink:href="https://www.openepi.com">https://www.openepi.com</ext-link>), 385 respondents were required, of which 80% Jews and 20% Arabs (the two main ethnicities). A stratified sampling method was used to achieve a representative sample, based on data published by the Israeli Central Bureau of Statistics in regard to age, ethnicity, religiosity, socio-economic level, and geographic zones. The internet panel employed in the study filtered the target population, in accordance to the above-mentioned categories. The sample population was selected from three major urban communities, each located in a different geographic location (the northern, central and southern regions) to encompass three areas that represent varied climatologic characteristics.</p>
</sec>
<sec>
<title>Study Tool</title>
<p>The study was based on a structured quantitative survey that was developed and validated in previous studies (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). The survey contained five main sections namely demographics; awareness of heat waves; health impacts; knowledge and behaviors aimed at reducing health impacts; and, protective measures for decreasing their impacts.</p>
<p>The questions on awareness and knowledge and behavior were further classified to six indices as follows: (1) awareness about health impacts of heatwaves (10 items, Cronbach &#x003B1; = 0.872); (2) recognition of groups vulnerable to health effects due to heatwaves (13 items, Cronbach &#x003B1; = 0.854); (3) level of concern about effects of heatwaves on oneself or others (9 items, Cronbach &#x003B1; = 0.816); (4) knowledge about protective measures to reduce health impacts of heatwaves (7 items, Cronbach &#x003B1; = 0.715); (5) familiarity with self-protective measures (12 items, Cronbach &#x003B1; = 0.804); and, (6) actions implemented during the last heatwave (12 items, Cronbach &#x003B1; = 0.856). Concerning each of the five initial indices, the respondents were asked to indicate through a dichotomous yes/no question if they are knowledgeable and indicate on a 3-level scale how concerned they were (ranging from not at all, through somewhat concerned to very concerned). Following each answer, they were presented with the detailed items, and requested to mark next to each item their level of knowledge /concern respectively on a four-point scale. In addition, respondents had the option to answer &#x0201C;I do not know&#x0201D; to each question; such an indication was calculated as missing data when creating the six indices. A yes/no question did not precede the sixth index; the respondents were requested to indicate the extent of their implementation of each protective measure.</p>
<p>To ensure both content quality, validity and reliability of the survey, it was translated from English to Hebrew as well as Arabic, and re-translated to English The survey was pilot tested among a sample of both Hebrew and Arabic speaking individuals (<italic>n</italic> = 30 and 20, respectively), prior to its dissemination to the full target population.</p>
</sec>
<sec>
<title>Study Design</title>
<p>The survey was disseminated by an internet panel company, that consists of over 100,000 panelists, representing all geographic and demographic sectors of Israel (<ext-link ext-link-type="uri" xlink:href="http://www.ipanel.co.il/">http://www.ipanel.co.il/</ext-link>). The Jewish respondents received the survey in Hebrew while the Arab respondents received it in both Arabic and Hebrew. The survey was approved by the Ethics Committee of the Tel Aviv University, number 0000016-1 from July 16, 2019.</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>Descriptive statistics were used to describe the characteristics of the sample. Sociodemographic characteristic differences between the two population groups were tested by chi square test (for categorical variables) and independent samples <italic>t</italic> test (for numerical variables). Different perceptions on heat waves were analyzed using chi square tests followed by multiple logistic regressions, adjusted for age and gender. Differences concerning information sources for accessing data were examined using chi square test. All statistical analyses were performed using SPSS software version 25. <italic>P</italic>-values lower than 0.05 were considered to be statistically significant, based on two-sided tests.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>The respondents comprised a total of 556 individuals, among them 79% (<italic>N</italic> = 438) Jews and 21% (<italic>N</italic> = 118) Arabs. The sociodemographic characteristics of the study population in the total sample and according to each specific ethnic population group is presented in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Demographic characteristics of the respondents by population group.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center"><bold>Total <italic>n</italic> &#x0003D; 556</bold></th>
<th valign="top" align="center"><bold>Jews <italic>n</italic> &#x0003D; 438</bold></th>
<th valign="top" align="center"><bold>Arabs <italic>n</italic> &#x0003D; 118</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5">Gender</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Male</td>
<td valign="top" align="center">36.4%</td>
<td valign="top" align="center">42.6%</td>
<td valign="top" align="center">13.6%</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Age</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;18&#x02013;21<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">10.8%</td>
<td valign="top" align="center">10.0%</td>
<td valign="top" align="center">13.5%</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;22&#x02013;40</td>
<td valign="top" align="center">56.1%</td>
<td valign="top" align="center">50.3%</td>
<td valign="top" align="center">78.0%</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;41&#x02013;60</td>
<td valign="top" align="center">24.6%</td>
<td valign="top" align="center">29.0%</td>
<td valign="top" align="center">8.5%</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;61&#x0002B;</td>
<td valign="top" align="center">8.5%</td>
<td valign="top" align="center">10.7%</td>
<td valign="top" align="center">0</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Education</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Up to and including high school</td>
<td valign="top" align="center">31.6%</td>
<td valign="top" align="center">36.1%</td>
<td valign="top" align="center">14.7%</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Vocational</td>
<td valign="top" align="center">15.4%</td>
<td valign="top" align="center">15.2%</td>
<td valign="top" align="center">16.4%</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Academic</td>
<td valign="top" align="center">53.3%</td>
<td valign="top" align="center">48.7%</td>
<td valign="top" align="center">69.0%</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Religiosity</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Not religious</td>
<td valign="top" align="center">54.3%</td>
<td valign="top" align="center">56.9%</td>
<td valign="top" align="center">44.3%</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Slightly religious</td>
<td valign="top" align="center">17.7%</td>
<td valign="top" align="center">16.4%</td>
<td valign="top" align="center">22.6%</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Moderately religious</td>
<td valign="top" align="center">21.4%</td>
<td valign="top" align="center">18.8%</td>
<td valign="top" align="center">31.3%</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Very religious</td>
<td valign="top" align="center">6.6%</td>
<td valign="top" align="center">7.9%</td>
<td valign="top" align="center">1.7%</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Children below 12</td>
<td valign="top" align="center">32.7%</td>
<td valign="top" align="center">33.1%</td>
<td valign="top" align="center">31.4%</td>
<td valign="top" align="center">0.719</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Employment status</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Student</td>
<td valign="top" align="center">12.8%</td>
<td valign="top" align="center">9.4%</td>
<td valign="top" align="center">25.4%</td>
<td valign="top" align="center">&#x0003C; .001</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Employed</td>
<td valign="top" align="center">71.6%</td>
<td valign="top" align="center">73.5%</td>
<td valign="top" align="center">64.4%</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Unemployed</td>
<td valign="top" align="center">4.5%</td>
<td valign="top" align="center">3.7%</td>
<td valign="top" align="center">7.6%</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Retired</td>
<td valign="top" align="center">4.1%</td>
<td valign="top" align="center">5.3%</td>
<td valign="top" align="center">0</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Other</td>
<td valign="top" align="center">7.0%</td>
<td valign="top" align="center">8.2%</td>
<td valign="top" align="center">2.5%</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Income level</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Less than average</td>
<td valign="top" align="center">39.0%</td>
<td valign="top" align="center">34.3%</td>
<td valign="top" align="center">54.9%</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Average</td>
<td valign="top" align="center">29.3%</td>
<td valign="top" align="center">29.1%</td>
<td valign="top" align="center">34.1%</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Above average</td>
<td valign="top" align="center">31.7%</td>
<td valign="top" align="center">36.6%</td>
<td valign="top" align="center">15.0%</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mainly outdoors work</td>
<td valign="top" align="center">26.6%</td>
<td valign="top" align="center">23.3%</td>
<td valign="top" align="center">40.8%</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">Working taking care of others</td>
<td valign="top" align="center">21.6%</td>
<td valign="top" align="center">34.2%</td>
<td valign="top" align="center">18.6%</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">Fasted in the past 5 months</td>
<td valign="top" align="center">26.3%</td>
<td valign="top" align="center">23.5%</td>
<td valign="top" align="center">36.4%</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">Consume medications for chronic disease</td>
<td valign="top" align="center">21.4%</td>
<td valign="top" align="center">24.4%</td>
<td valign="top" align="center">10.2%</td>
<td valign="top" align="center">0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1"><label>&#x0002A;</label><p><italic>This age group was chosen to differentiate pre-post mandatory conscription age</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Approximately 57.4% of the Jewish sample were female compared to 86.4% among the Arab sample (<italic>p</italic> &#x0003C; 0.001). The average age of the respondents was 36.3; Arabs compared to Jews were younger (28.5 vs. 38.4; <italic>p</italic> &#x0003C; 0.001), had higher levels of academic education (69 vs. 49%; <italic>p</italic> &#x0003C; 0.001), more were students (25 vs. 9%; <italic>p</italic> &#x0003C; 0.001), worked more often outdoors (41 vs. 23%; <italic>p</italic> = 0.002), reported on higher rates of participating in fasting activities (36 vs. 24%; <italic>p</italic> = 0.005) and, had lower levels of consuming medications for chronic diseases (10 vs. 24%; <italic>p</italic> = 0.001).</p>
<p>Among the total sample of the respondents that stated their view (yes or no), 74% consider heatwaves as a problem, 93% believe that heatwaves will occur more frequently in the future, and approximately 27% feel very concerned about the effects of heatwaves on themselves or on others. No significant differences were found between Arab and Jewish respondents.</p>
<p>Overall, significantly higher levels of perceived awareness concerning varied aspects related to heat waves were found among the Jewish compared to the Arab respondents (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Levels of awareness concerning heat waves among Jewish and Arab respondents.</p></caption>
<graphic xlink:href="fpubh-09-642874-g0001.tif"/>
</fig>
<p>Nearly 90% of the Jewish sample reported that they could name some of the symptoms due to heat waves, compared to 77% among the Arab sample (<italic>p</italic> &#x0003C; 0.001). Approximately 81% of the Jewish sample reported knowing how to protect themselves against heat waves, compared to 56% among the Arab sample (<italic>p</italic> &#x0003C; 0.001), and 74% of the Jewish sample reported knowing what to do when someone suffers from a heat stroke, compared to 47% of the Arab sample (<italic>p</italic> &#x0003C; 0.001). A relatively high percentage (&#x0007E;87%) of both Jewish and Arab respondents reported recognition of groups at risk from heat waves. In addition, 30% reported that they define themselves as highly sensitive to heat, with no significant difference between Jewish and Arab respondents.</p>
<p>Due to the significant differences between the two population groups (Jewish and Arab respondents) in gender composition, age, educational and occupational status, a logistic regression was performed to predict their perceptions/ knowledge regarding heat waves after adjusting for the diverse sociodemographic variables. The results of the regression models are presented in <xref ref-type="fig" rid="F2">Figure 2</xref>.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Regression models of perceived familiarity of heat waves among Jewish vs. Arab respondents.</p></caption>
<graphic xlink:href="fpubh-09-642874-g0002.tif"/>
</fig>
<p>Based on Multiple logistic regression adjusted to age and gender.</p>
<p>Data for <xref ref-type="fig" rid="F2">Figure 2</xref>:</p>
<list list-type="bullet">
<list-item><p>Perceived familiarity with symptoms Jews/Arabs OR 2.38 95CI 1.32&#x02013;4.31; <italic>p</italic> = 0.004.</p></list-item>
<list-item><p>Perceived familiarly with high risk groups Jews/Arabs OR 2.50 95%CI 1.41&#x02013;4.45; <italic>p</italic> = 0.002.</p></list-item>
<list-item><p>Perceived capacity to respond Jews/Arabs OR 2.76 95%CI 1.75&#x02013;4.35; <italic>p</italic> &#x0003C; 0.001.</p></list-item>
<list-item><p>Perceived familiarity with protective mean Jews/Arabs OR 2.65 95%CI 1.65&#x02013;4.25; <italic>p</italic> &#x0003C; 0.001.</p></list-item>
<list-item><p>Perception of high sensitivity Jews/Arabs OR 1.09 95%CI 0.67&#x02013;1.77; <italic>p</italic> &#x0003E; 0.05.</p></list-item>
</list>
<p>As is clearly visible, the Jewish respondents more often indicate that they are knowledgeable of the varied consequences of heat waves compared to the Arab respondents, including in recognizing symptoms, identifying risk groups, knowing what to do when someone suffers from heat stroke and proficiency concerning protective means, even after controlling for sociodemographic characteristics.</p>
<p>When comparing the responses of the Arab and the Jewish respondents for the six indices (namely aware of health impacts, recognize vulnerable groups, levels of concern, know about protective measures, familiar with self-protective measures, and implement actions), significant differences were found only for the levels of concern about the heat waves&#x00027; effects. Arab compared to Jewish respondents presented a significantly higher level of concern (3.22 vs. 3.09 respectively; <italic>t</italic> &#x02212;2.25, <italic>p</italic> = 0.03). In contrast, knowledge of protecting measures was higher among Jews compared to Arabs (3.67 vs. 3.56 <italic>t</italic> = 2.13 <italic>p</italic> = 0.04). Concerning the other four indices, no significant differences were found between the two population groups. See <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Index differences between population groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Index</bold></th>
<th valign="top" align="center"><bold>Jews</bold></th>
<th valign="top" align="center"><bold>Arabs</bold></th>
<th valign="top" align="center"><bold><italic>t</italic></bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Awareness of health impacts of heatwaves (signs and symptoms)</td>
<td valign="top" align="center">3.36 &#x000B1; 0.54</td>
<td valign="top" align="center">3.34 &#x000B1; 0.63</td>
<td valign="top" align="center">&#x02212;0.46</td>
<td valign="top" align="center">0.65</td>
</tr>
<tr>
<td valign="top" align="left">Awareness of risk groups</td>
<td valign="top" align="center">3.29 &#x000B1; 0.45</td>
<td valign="top" align="center">3.31 &#x000B1; 0.56</td>
<td valign="top" align="center">&#x02212;0.49</td>
<td valign="top" align="center">0.62</td>
</tr>
<tr>
<td valign="top" align="left">Level of concern about effects of heatwaves</td>
<td valign="top" align="center">3.09 &#x000B1; 0.55</td>
<td valign="top" align="center">3.22 &#x000B1; 0.59</td>
<td valign="top" align="center">&#x02212;2.25</td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" align="left">Knowledge of protecting measures</td>
<td valign="top" align="center">3.67 &#x000B1; 0.36</td>
<td valign="top" align="center">3.56 &#x000B1; 0.51</td>
<td valign="top" align="center">2.13</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">Familiarity with self-protection measures</td>
<td valign="top" align="center">3.26 &#x000B1; 0.41</td>
<td valign="top" align="center">3.29 &#x000B1; 0.50</td>
<td valign="top" align="center">&#x02212;0.061</td>
<td valign="top" align="center">0.54</td>
</tr>
<tr>
<td valign="top" align="left">Personal protection actions implemented during the last heatwave</td>
<td valign="top" align="center">2.63 &#x000B1; 0.57</td>
<td valign="top" align="center">2.73 &#x000B1; 0.64</td>
<td valign="top" align="center">&#x02212;1.59</td>
<td valign="top" align="center">0.11</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The sources of information concerning heat waves that were reported by the respondents are presented in <xref ref-type="table" rid="T3">Table 3</xref>.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Differences in information resources.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center"><bold>Jews <italic>n</italic> &#x0003D; 438</bold></th>
<th valign="top" align="center"><bold>Arabs <italic>n</italic> &#x0003D; 118</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4"><bold>Informed about heatwaves</bold></td>
</tr>
<tr>
<td valign="top" align="left">Very well-informed</td>
<td valign="top" align="center">9.4%</td>
<td valign="top" align="center">11.0%</td>
<td valign="top" align="center">0.059</td>
</tr>
<tr>
<td valign="top" align="left">Somewhat informed</td>
<td valign="top" align="center">48.6%</td>
<td valign="top" align="center">38.1%</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Not very well-informed</td>
<td valign="top" align="center">34.5%</td>
<td valign="top" align="center">36.4%</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Not at all informed</td>
<td valign="top" align="center">7.5%</td>
<td valign="top" align="center">14.4%</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Looking for information last heat wave from;</bold></td>
</tr>
<tr>
<td valign="top" align="left">Government social media or website</td>
<td valign="top" align="center">27.2%</td>
<td valign="top" align="center">35.6%</td>
<td valign="top" align="center">0.073</td>
</tr>
<tr>
<td valign="top" align="left">Government brochure or poster</td>
<td valign="top" align="center">1.4%</td>
<td valign="top" align="center">4.2%</td>
<td valign="top" align="center">0.061</td>
</tr>
<tr>
<td valign="top" align="left">Television</td>
<td valign="top" align="center">39.5%</td>
<td valign="top" align="center">33.9%</td>
<td valign="top" align="center">0.267</td>
</tr>
<tr>
<td valign="top" align="left">Radio</td>
<td valign="top" align="center">15.1%</td>
<td valign="top" align="center">16.1%</td>
<td valign="top" align="center">0.782</td>
</tr>
<tr>
<td valign="top" align="left">Newspaper or news website</td>
<td valign="top" align="center">34.7%</td>
<td valign="top" align="center">29.7%</td>
<td valign="top" align="center">0.303</td>
</tr>
<tr>
<td valign="top" align="left">Doctor or health professional</td>
<td valign="top" align="center">1.4%</td>
<td valign="top" align="center">4.2%</td>
<td valign="top" align="center">0.061</td>
</tr>
<tr>
<td valign="top" align="left">Relatives or friends</td>
<td valign="top" align="center">10.0%</td>
<td valign="top" align="center">20.3%</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">Not consulted any source</td>
<td valign="top" align="center">33.1%</td>
<td valign="top" align="center">28.0%</td>
<td valign="top" align="center">0.288</td>
</tr>
<tr>
<td valign="top" align="left">Prefer to be notified about heatwave occurrence</td>
<td valign="top" align="center">72.4%</td>
<td valign="top" align="center">76.3%</td>
<td valign="top" align="center">0.594</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Last summer consulted with:</bold></td>
</tr>
<tr>
<td valign="top" align="left">Government social media or website on measures</td>
<td valign="top" align="center">24.7%</td>
<td valign="top" align="center">39.0%</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">Government brochure or poster on measures</td>
<td valign="top" align="center">1.6%</td>
<td valign="top" align="center">5.1%</td>
<td valign="top" align="center">0.038</td>
</tr>
<tr>
<td valign="top" align="left">Television on measures</td>
<td valign="top" align="center">39.7%</td>
<td valign="top" align="center">36.4%</td>
<td valign="top" align="center">0.516</td>
</tr>
<tr>
<td valign="top" align="left">Radio on measures</td>
<td valign="top" align="center">18.3%</td>
<td valign="top" align="center">18.6%</td>
<td valign="top" align="center">0.925</td>
</tr>
<tr>
<td valign="top" align="left">Newspaper or news website on measures</td>
<td valign="top" align="center">31.7%</td>
<td valign="top" align="center">31.4%</td>
<td valign="top" align="center">0.937</td>
</tr>
<tr>
<td valign="top" align="left">Doctor or health professional on measures</td>
<td valign="top" align="center">3.7%</td>
<td valign="top" align="center">5.1%</td>
<td valign="top" align="center">0.479</td>
</tr>
<tr>
<td valign="top" align="left">Relatives or friends on measures</td>
<td valign="top" align="center">11.9%</td>
<td valign="top" align="center">22.0%</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">Did not consult a source on measures</td>
<td valign="top" align="center">39.0%</td>
<td valign="top" align="center">32.2%</td>
<td valign="top" align="center">0.173</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Expect to get information from:</bold></td>
</tr>
<tr>
<td valign="top" align="left">Police</td>
<td valign="top" align="center">36.6%</td>
<td valign="top" align="center">47.6%</td>
<td valign="top" align="center">0.068</td>
</tr>
<tr>
<td valign="top" align="left">Fire brigade</td>
<td valign="top" align="center">75.6%</td>
<td valign="top" align="center">72.9%</td>
<td valign="top" align="center">0.591</td>
</tr>
<tr>
<td valign="top" align="left">Mayor</td>
<td valign="top" align="center">54.0%</td>
<td valign="top" align="center">63.4%</td>
<td valign="top" align="center">0.100</td>
</tr>
<tr>
<td valign="top" align="left">Media</td>
<td valign="top" align="center">92.4%</td>
<td valign="top" align="center">93.0%</td>
<td valign="top" align="center">0.636</td>
</tr>
<tr>
<td valign="top" align="left">Religious leaders</td>
<td valign="top" align="center">6.9%</td>
<td valign="top" align="center">17.7%</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left">Health care professionals</td>
<td valign="top" align="center">89.1%</td>
<td valign="top" align="center">89.8%</td>
<td valign="top" align="center">0.826</td>
</tr>
<tr>
<td valign="top" align="left">Social services</td>
<td valign="top" align="center">64.5%</td>
<td valign="top" align="center">65.6%</td>
<td valign="top" align="center">0.840</td>
</tr>
<tr>
<td valign="top" align="left">Care institutions</td>
<td valign="top" align="center">50.1%</td>
<td valign="top" align="center">61.1%</td>
<td valign="top" align="center">0.059</td>
</tr>
<tr>
<td valign="top" align="left">Relatives or friends</td>
<td valign="top" align="center">59.4%</td>
<td valign="top" align="center">75.5%</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">Community leaders</td>
<td valign="top" align="center">33.3%</td>
<td valign="top" align="center">58.4%</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Approximately half of the sample reported being informed about heat waves, although almost 75% reported that they prefer to be personally notified about heat wave occurrence. The most common source that is utilized by both Jews and Arabs to search for information on heat waves is the television (39.5 vs. 33.9%, respectively), closely followed by newspapers or news sites (&#x0007E;34.7 vs. 29.7%, respectively) and governmental social media or website (27.2 vs. 35.6% respectively). In contrast, survey participants reported that they rarely search for information through brochures or posters from government offices (only 3%), their physician or other medical professionals (about 3%). Arab vs. Jewish respondents more frequently (and significantly) prefer to access information from religious leaders, relatives, friends or community leaders.</p>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Heat waves occur frequently in the Middle East countries, including in Israel, and present a health risk (<xref ref-type="bibr" rid="B28">28</xref>). As there are substantial potential detrimental impacts of heat waves on the population (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>), most especially on vulnerable groups (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B13">13</xref>), it is vital to ensure that all individuals are aware of the hazards, understand the potential impact, and adopt protective behaviors that have proven to be effective in mitigating the consequences (<xref ref-type="bibr" rid="B20">20</xref>). Identifying the perceptions, attitudes and behavior of the varied groups in the population concerning heat waves, should be of high priority for policy-makers and governance systems. Having insights on population behavior and attitudes can tailor risk communication strategies and information directed to the public to the needs and characteristics of the varied population groups (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B29">29</xref>). Campaigns for health protection against heatwaves have to consider psycho-social and cultural characteristics of different ethnicities, as these influence both the perception of the risk and its consequences, as well as the willingness to adopt and implement practical steps in view of the risk (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>Our study found that the overall level of awareness among the Israeli population to the risk of heat wave, their potential impacts, as well as means to protect oneself from negative outcomes is relatively high (90%), compared to other studies conducted in countries that are routinely accustomed to higher temperatures (such as Spain and Portugal) vs. moderate temperatures (Netherlands and Belgium) (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>As heat waves do not discriminate between populations and the extreme temperatures are equally felt, it may have been expected that familiarity with signs, symptoms and protective measures would be similar among all populations (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Conversely, some previous studies suggest that minority populations (such as Hispanics or African Americans in the US or Turks in Austria) are often more concerned and vulnerable than the majority groups in regard to climate change and heatwaves (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>). The current study&#x00027;s results may shed some light on the variability found between minority to majority populations. Initially we found that both ethnic groups (Arabs and Jews) have similar levels of concern and similarly believe that heatwaves will increase in the future. When asked directly about their levels of knowledge concerning heatwaves, Arab respondents answered less often as being knowledgeable than the Jewish respondents. Nonetheless, when faced with a list of signs and symptoms or measures that may reduce the health impacts of extreme temperatures, no differences were found between the two groups. This variability concerning the perceived knowledge rather than actual proficiency of minority vs. majority ethnic groups is aligned with the contention that ethnic minorities do not attribute to themselves leadership or guidance capacities (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B32">32</xref>). The lower levels of perceived knowledge, awareness and capacity to effectively respond to heat waves among minority populations, justifies more in-depth understanding.</p>
<p>Furthermore, the differences that were found between the two populations in regard to levels of awareness of vulnerable groups (though not found significant), may be attributed to varied cultural and occupational diversities (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Similar to the challenges faced by other minorities, Arabs compared to Jews have lower socio-economic levels and a higher percentage of working outdoors (<xref ref-type="bibr" rid="B23">23</xref>&#x02013;<xref ref-type="bibr" rid="B25">25</xref>). Both characteristics may lead to a higher exposure to impacts of heat waves, with a lower capacity to mitigate its consequences through air conditioners or other protective measures (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B33">33</xref>).</p>
<p>Higher levels of awareness among the Arab respondents to vulnerable populations may be derived from the family structures among this group. It is customary for Arab families of several generations (children, parents, grandparents and even great-grandparents) to reside together, thus enhancing their sensitivity to the diverse needs of both children and the elderly, including when they are suffering from varied illnesses (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>).</p>
<p>These social and cultural differences may also explain the variance concerning sources for accessing reliable information concerning the risk and its consequences (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B29">29</xref>). Both Arab and Jewish populations search for relevant data through governmental social media or websites, as well as via the television or radio. Nonetheless, more than twice the extent of Arab compared to Jewish respondents approach their relatives and friends in order to access such vital information (<xref ref-type="bibr" rid="B35">35</xref>). Furthermore, a higher percentage of Arab vs. Jewish respondents expect to be informed about heat waves by their religious prominent figures or their community leaders. It seems their community ties and segregation are stronger and they attribute a higher level of trust to their in-group resources (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B34">34</xref>).</p>
<p>Finally, most respondents, for both study sub populations prefer to be personally notified about a forecasted occurrence of a heat wave rather than access the information independently, using their own resources. It could be expected that due to the abundant influx of data, forecasting services that are accessible, and extensive media coverage, that individuals would perceive the information as easily accessible and available (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B7">7</xref>). This need to be personally informed may be derived from the concern of many that due to the routine high temperatures that characterize the Middle East region, they will remain unaware of the need to implement additional designated measures during extreme heat waves that are vital to facilitate their safety and well-being (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). It may also be related to the high digital literacy of all population groups in Israel in utilizing WhatsApp, which is a perceived by the individuals as being &#x0201C;personally informed&#x0201D; (<xref ref-type="bibr" rid="B36">36</xref>).</p>
<p>We faced limitations in the implementation of this study. The first is the use of an internet panel to recruit respondents. Some doubt may be cast as to the level of representation of the respondents and their similarity to the overall target population (<xref ref-type="bibr" rid="B37">37</xref>). In order to mitigate this risk, the study was conducted through the largest internet panel that operates in Israel, consisting of over 100,000 panelists that represent the diverse groups in the population, with a high influx of new participants and strict quality assurance measures. The second is the variance of characteristics among the two main population groups. This was corrected by using logistic regression models after adjusting for the differences that were found between the Arab vs. the Jewish population groups. The third is the use of some closed-answer questions that may not reflect the actual knowledge of the respondents but rather what they believe are socially desirable answers.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusions</title>
<p>Heatwaves pose a significant risk to the health and well-being of the global community and are expected to increase in both frequency and intensity due to global warming and climate change. The capacity to respond effectively to the detrimental impact of heat waves is dependent on the risk perception, awareness and behavior of the public to a large extent. It is thus vital to understand the variability that exists among different ethnicities concerning heatwaves and tailor the national and local risk communication strategies to the specific needs of the different population groups. A crucial component of enhancing preparedness to heatwaves is empowerment of all sections of the population, minority as well as majority groups that can strengthen their capacity to implement protective behavior and elevate their self-belief in their individual ability and fortitude. It is recommended that future studies be implemented which investigate the impact of different communication programs on perceived risks, awareness and protective behavior of different ethnicities, to facilitate the implementation of effective risk management tools.</p>
</sec>
<sec sec-type="data-availability-statement" id="s6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Institutional Ethics Committee of the Tel Aviv University. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>DG-S, JvL, and BA: conceptualization. BA and KV: methodology. BA, JvL, DG-S, and KV: validation. MS-T: formal analysis. BA: investigation. BA and MS-T: writing&#x02014;original draft preparation. DG-S, JvL, and KV: writing&#x02014;review and editing. All authors have read and agreed to the published version of the manuscript.</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="s9">
<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>
<ack><p>The study was performed as part of the SCORCH project. The authors thank the members of the SCORCH consortium for their support in the project.</p>
</ack>
<sec sec-type="supplementary-material" id="s10">
<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/fpubh.2021.642874/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpubh.2021.642874/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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<fn-group>
<fn fn-type="financial-disclosure"><p><bold>Funding.</bold> This research is an EU funded project under the call by UNION CIVIL PROTECTION MECHANISM of Directorate General for European Civil Protection and Humanitarian Aid Operations (Topic: UCPM-2018-PP-PREV-AG). Grant Agreement Number: 826565.</p>
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