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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.2023.1075729</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Knowledge, attitudes, and practices about COVID-19 pandemic: a bibliometric analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Selva-Pareja</surname>
<given-names>Laia</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2063956/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Cam&#x00ED;</surname>
<given-names>Carla</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="c002" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2060903/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Roca</surname>
<given-names>Judith</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2235154/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Espart</surname>
<given-names>Anna</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2292177/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Campoy</surname>
<given-names>Carme</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff5" ref-type="aff"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Botigu&#x00E9;</surname>
<given-names>Teresa</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2337401/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Nursing and Physiotherapy, University of Lleida</institution>, <addr-line>Lleida</addr-line>, <country>Spain</country></aff>
<aff id="aff2"><sup>2</sup><institution>C&#x00E0;tedra de Desenvolupament i Territoris Saludables i Sostenibles (DOTSS), University of Lleida</institution>, <addr-line>Lleida</addr-line>, <country>Spain</country></aff>
<aff id="aff3"><sup>3</sup><institution>Health Education, Nursing, Sustainability and Innovation Research Group (GREISI), University of Lleida</institution>, <addr-line>Lleida</addr-line>, <country>Spain</country></aff>
<aff id="aff4"><sup>4</sup><institution>Health Care Research Group (GRECS), Biomedical Research Institute of Lleida</institution>, <addr-line>Lleida</addr-line>, <country>Spain</country></aff>
<aff id="aff5"><sup>5</sup><institution>Grup d&#x2019;Estudis de Societats Africanes (GESA), University of Lleida</institution>, <addr-line>Lleida</addr-line>, <country>Spain</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by"><p>Edited by: Jie Hu, The Ohio State University, United States</p></fn>
<fn id="fn0002" fn-type="edited-by"><p>Reviewed by: Jernej Zavrsnik, Health Center Dr Adolf Drolc, Slovenia; M. Ahmed, Phcog.Net, India</p></fn>
<corresp id="c001">&#x002A;Correspondence: Judith Roca, <email>judith.roca@udl.cat</email></corresp>
<corresp id="c002">Carla Cam&#x00ED;, <email>carla.cami@udl.cat</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>06</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1075729</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>05</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Selva-Pareja, Cam&#x00ED;, Roca, Espart, Campoy and Botigu&#x00E9;.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Selva-Pareja, Cam&#x00ED;, Roca, Espart, Campoy and Botigu&#x00E9;</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>
<sec>
<title>Background</title>
<p>In order to avoid high rates of COVID-19 infection, one of the main tasks that must be performed is to improve the knowledge, attitudes, and practices (KAP) about the virus. In this sense, Health Education is an essential tool for dealing with the virus. The aim of health education is to educate individuals through educational, motivational, skill development, and awareness techniques, and an understanding of the main needs of KAP is essential for this. Many KAP studies were published during the COVID-19 pandemic, and the aim of the present study was to analyze these publications through a bibliometric study.</p>
</sec>
<sec>
<title>Methods</title>
<p>A bibliometric analysis of the publications on KAP and COVID-19 was conducted in the Web of Science Core Collection database. The RStudio Bibliometrix and VOSviewer packages were utilized to analyze the scientific production, authors, citations, countries, publishers, journals, research areas, and keywords.</p>
</sec>
<sec>
<title>Results</title>
<p>Of the 1,129 articles published, 777 were included in the study. The year with the most publications and citations was 2021. Three authors were underlined (all from Ethiopia), due to the number of articles published, the number of citations, and the collaboration networks established. As for the countries, most of the publications came from Saudi Arabia, while China obtained the most citations. PLOS One and Frontiers in Public Health published the most articles on the subject. The most frequent keywords were knowledge, attitudes, practices, and COVID-19. At the same time, others were identified based on the population group analyzed.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>This is the first bibliometric study on KAP and COVID-19. The significant number of publications identified on KAP and its relationship to the COVID-19 pandemic, in the span of only 3 years, indicates the increased interest in this area. The study provides relevant information to researchers who are approaching this subject for the first time. It is a useful tool that can stimulate new studies and collaborations between researchers from different countries, areas and approaches. At the methodological level, a step-by-step guide is provided for future authors who wish to perform a bibliometric analysis.</p>
</sec>
</abstract>
<kwd-group>
<kwd>attitudes</kwd>
<kwd>bibliometric analysis</kwd>
<kwd>bibliometrix</kwd>
<kwd>COVID-19</kwd>
<kwd>knowledge</kwd>
<kwd>practices</kwd>
<kwd>VOSviewer</kwd>
</kwd-group>
<contract-sponsor id="cn1">Generalitat de Catalunya<named-content content-type="fundref-id">10.13039/501100002809</named-content></contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="84"/>
<page-count count="15"/>
<word-count count="10176"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Public Health Education and Promotion</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="sec5" sec-type="intro">
<label>1.</label>
<title>Introduction</title>
<p>COVID-19 is an infectious disease caused by the SARS-CoV-2 virus. The global pandemic it caused had not only health and social consequences, but also economic and environmental impacts (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). For this, some studies (<xref ref-type="bibr" rid="ref3">3</xref>) showed that the COVID-19 pandemic posed a global challenge for the achievement of the Sustainable Development Goals (SDG) with negative and positive correlations, and differences and inequalities among countries.</p>
<p>Considering the health aspects, and according to the World Health Organization (WHO) (<xref ref-type="bibr" rid="ref4">4</xref>), the best type of prevention to stop its transmission was to be well informed about the disease and the propagation of the virus itself. Consequently, precise and up-to-date information interventions were indispensable for the population, to avoid disinformation and possible questionable practices (<xref ref-type="bibr" rid="ref5">5</xref>). In this sense, within SDG 4, on Quality Education, we find Health Education (HE) (<xref ref-type="bibr" rid="ref3">3</xref>), which is a fundamental tool for health literacy (<xref ref-type="bibr" rid="ref6">6</xref>). HE helps individuals, professionals, organizations, and systems, to improve health through the empowerment of people in the making of informed decisions (<xref ref-type="bibr" rid="ref7">7</xref>), and to facilitate changes in behavior (<xref ref-type="bibr" rid="ref8">8</xref>). Also, it allows different manners of communication, and therefore, it is a versatile and adaptable method (<xref ref-type="bibr" rid="ref9">9</xref>). Its aim is to educate people through educational, motivational, skill development, and awareness techniques (<xref ref-type="bibr" rid="ref10">10</xref>). Thus, it is an essential element for facing and mitigating a worldwide pandemic such as the COVID-19 pandemic. However, the training must be massive and cover the entire social strata (<xref ref-type="bibr" rid="ref11">11</xref>) in order to truly reduce health inequalities and improve the overall well-being of a community (<xref ref-type="bibr" rid="ref12">12</xref>). Vamos and McDermott (<xref ref-type="bibr" rid="ref7">7</xref>) detailed three important conditioning factors for the development of health literacy: (i) people must clearly know the reason for the program, (ii) they must have the resources and systems of support, and (iii) receive positive re-enforcement to maintain these actions.</p>
<p>Along this line, before performing an intervention or implementing a program, HE can include an evaluation of the knowledge, attitudes, and practice (KAP) of the target population (<xref ref-type="bibr" rid="ref6">6</xref>). This will make it possible to implement effective interventions (<xref ref-type="bibr" rid="ref13">13</xref>) adapted to a population or to new situations, such as the one created by COVID-19 (<xref ref-type="bibr" rid="ref14">14</xref>). In this way, beneficial behaviors will be adopted in order to achieve a healthy way of life (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). In this sense, and after more than 2&#x2009;years of living with the pandemic, many studies (<xref ref-type="bibr" rid="ref17 ref18 ref19">17&#x2013;19</xref>) have focused on analyzing the KAP of the population to be able to design HE interventions. Given the above, the moment is ripe for analyzing, understanding, and observing the trend of the available scientific literature on the subject. Therefore, the following research question was posed: &#x201C;What was the trend of scientific production on KAPs in the general population during the COVID-19 pandemic? In this regard, one of the best ways to do this is through the use of bibliometric analysis. Etymologically, the term &#x201C;bibliometry&#x201D; is composed of two words &#x201C;biblio,&#x201D; which means &#x201C;book&#x201D; in Greek, and &#x201C;Metricus,&#x201D; which refers to &#x201C;measurement&#x201D; in Greek (<xref ref-type="bibr" rid="ref20">20</xref>). One of the pioneers of bibliometrics was Alan Pritchard in 1969, who used this term for the first time to refer to a new discipline that studies scientific production. Pritchard (<xref ref-type="bibr" rid="ref21">21</xref>) defined bibliometrics as &#x201C;the application of mathematics and statistical methods to books and other media of communication.&#x201D; Even though, it was Garfield (<xref ref-type="bibr" rid="ref22">22</xref>) who suggested that Science Citation Index (SCI) &#x201C;would clearly be particularly useful in historical research, when one is trying to evaluate the significance of a particular work and its impact on the literature and thinking of the period&#x201D; and who, a few years later, introduced the use of citation analysis and impact factor as tools for evaluating journals (<xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref24">24</xref>).</p>
<p>According to a recent historical bibliometrics analysis (<xref ref-type="bibr" rid="ref25">25</xref>), bibliometrics are becoming popular and increasing in medical research. Furthermore, in health research, bibliometrics are useful methods for analyzing the development of knowledge production (<xref ref-type="bibr" rid="ref25">25</xref>). Thus, this is a type of scientometric study that utilizes mathematical and statistical data to map information, and can therefore be used to analyze all types of documents in order to understand publication trends and patterns (<xref ref-type="bibr" rid="ref26">26</xref>). Its main objective is the quantitative analysis of a large number of articles and massive data, and can therefore have a great impact on research (<xref ref-type="bibr" rid="ref27">27</xref>).</p>
<p>For all of these reasons, the present study is the first bibliometric study that is currently known that offers a descriptive and quantitative view of the articles published on KAPs of the general population during the COVID-19 pandemic. In this way, the study will allow other researchers to obtain a broad view on the publications on the subject, including the research trends and the most influential subjects, which could have repercussions in the future. Therefore, the objective of this bibliometric study was to quantitatively analyze scientific production on knowledge, attitudes, and practices of the general population during the COVID-19 pandemic.</p>
</sec>
<sec id="sec6" sec-type="methods">
<label>2.</label>
<title>Methods</title>
<p>Given that a guide that detailed the methodological steps for performing a bibliometric analysis was not found, the methods used in the present study were structured in the following manner: six steps were developed that were organized into three stages described by Fauzi (<xref ref-type="bibr" rid="ref28">28</xref>): (1) data collection, (2) screening, and (3) analyzing the data. The literature research and identifying relevant studies steps were added to the first stage. In the second stage, two steps were taken, eligibility criteria and study selection and data collection. For the last stage, the grouping of the main analytical techniques described by Donthu et al. (<xref ref-type="bibr" rid="ref27">27</xref>), performance analysis and science mapping, was utilized.</p>
<sec id="sec7">
<label>2.1.</label>
<title>Stage 1: data collection</title>
<sec id="sec8">
<label>2.1.1.</label>
<title>Literature research</title>
<p>The search was performed in the Web of Science Core Collection (WoSCC) on August 8th, 2022. This is an international database that contains more than 61 million records from around the world (<xref ref-type="bibr" rid="ref29">29</xref>), and it includes high-impact journals (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref31">31</xref>), offers high quality articles, and allows their export for a bibliometric study (<xref ref-type="bibr" rid="ref27">27</xref>, <xref ref-type="bibr" rid="ref32">32</xref>).</p>
<p>Given that the object of the research was to study the KAP during the COVID-19 pandemic, a search string was created which included the following keywords: &#x201C;Knowledge,&#x201D; &#x201C;attitude,&#x201D; &#x201C;practise OR practice,&#x201D; and &#x201C;COVID-19 OR SARS coronavirus 2.&#x201D; To focus the search, it was limited to &#x201C;topic&#x201D; instead of &#x201C;all fields,&#x201D; which means that the keywords were limited to those that appeared on the title, abstract, or keywords.</p>
</sec>
<sec id="sec9">
<label>2.1.2.</label>
<title>Identifying relevant studies</title>
<p>To identify the relevant articles, and to include them in the results, inclusion criteria were defined centered on population, concept, and context (<xref ref-type="bibr" rid="ref33">33</xref>) (<xref rid="tab1" ref-type="table">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Inclusion criteria according to population, concept and context items.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Items</th>
<th align="left" valign="top">Description</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Population</td>
<td align="left" valign="middle">General population, without delimiting by sex, age, socioeconomic level, profession, cultural aspects, health situation, among others.</td>
</tr>
<tr>
<td align="left" valign="middle">Concept</td>
<td align="left" valign="middle">Knowledge, Attitudes and Practices (KAP)</td>
</tr>
<tr>
<td align="left" valign="middle">Context</td>
<td align="left" valign="middle">COVID-19 pandemic</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The search strategy did not place limits on language or publication date. As for the type of publication, only journal publications and early access articles were included, while other formats (letters, meeting summaries, reviews, etc.) were excluded. Finally, articles that focused on specific population groups, for example, health professionals, were not excluded, as the objective of the present study was to discover the KAP in the general population.</p>
</sec>
</sec>
<sec id="sec10">
<label>2.2.</label>
<title>Stage 2: screening</title>
<sec id="sec11">
<label>2.2.1.</label>
<title>Eligibility criteria</title>
<p>To delimit the quality of the articles, the &#x201C;type of document&#x201D; filter was utilized. Then, during the review according to title and abstract, the &#x201C;type of document&#x201D; was again utilized to meet the inclusion and exclusion criteria.</p>
</sec>
<sec id="sec12">
<label>2.2.2.</label>
<title>Study selection and data collection</title>
<p>The selection of articles according to their abstract and titles was independently conducted by two of the researchers (LS and CC), and any discrepancy was solved by a third reviewer (TB).</p>
<p>The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology was followed for the article selection process (<xref ref-type="bibr" rid="ref34">34</xref>).</p>
</sec>
</sec>
<sec id="sec13">
<label>2.3.</label>
<title>Stage 3: analyzing the data</title>
<sec id="sec14">
<label>2.3.1.</label>
<title>Performance analysis</title>
<p>First, a descriptive bibliometric analysis was performed, also called performance analysis by Donthu et al. (<xref ref-type="bibr" rid="ref27">27</xref>), starting with the Web of Science tool (WoS). The following information was extracted: (i) publication-related metrics: total publications (TP), number of contributing authors (NCA), number of active years of publication (NAY); (ii) citation-related metrics: local citations (LC) and global or total citations (GC or TC); and (iii) citation-and-publication-related metrics: H-Index. Also, additional information from the journals was utilized, such as: category, publisher, and impact factor (IF) according to the Journal Citation Report (JCR).</p>
<p>LC and TC were differentiated, the LC metric will sometimes indicate that an author or article from the collection is cited by another article in the same collection (<xref ref-type="bibr" rid="ref35">35</xref>), and in contrast, the GC or TC metrics refer to the authors or articles most cited in WoS (<xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref37">37</xref>).</p>
<p>In addition, the articles included were manually reviewed by two researchers (CC and LS) to extract the type of population studied, with the population classified as: health care workers (HCW)/healthcare providers, patients, students, and other population (all the articles that were not specifically directed to any of the first three groups were included in this last group).</p>
</sec>
<sec id="sec15">
<label>2.3.2.</label>
<title>Science mapping</title>
<p>Lastly, and after the performance analysis and classification, the science mapping of the results was performed through the extraction of the information in two different formats: one for analysis with the R software (version 2022.07.0, RStudio Team, Boston, MA, United States) (<xref ref-type="bibr" rid="ref38">38</xref>), and another for VOSviewer (version 1.6.17, Leiden University Center for Science and Technology Studies, Leiden, The Netherlands) (<xref ref-type="bibr" rid="ref39">39</xref>). In Rstudio, the &#x201C;Bibliometrix 4.0&#x201D; package was exclusively utilized (<xref ref-type="bibr" rid="ref35">35</xref>).</p>
<p>For these analyses, the following variables were utilized: citations, affiliations, countries, and keywords (considering the Keywords Plus and the author&#x2019;s keywords together and separately). The Keywords Plus correspond to words identified by WoS in the titles of the articles (<xref ref-type="bibr" rid="ref40">40</xref>), while the author&#x2019;s keywords are defined by the authors of the publication (<xref ref-type="bibr" rid="ref41">41</xref>).</p>
<p>Different analyses were conducted with respect to science mapping. First, a citation analysis was performed (relationships between publications and most influential publications) (<xref ref-type="bibr" rid="ref27">27</xref>). In second place, a co-authorship analysis through Bibliometrix (<xref ref-type="bibr" rid="ref40">40</xref>) was performed, which identified the social interaction between authors, and author affiliations (countries) (<xref ref-type="bibr" rid="ref27">27</xref>). Then, a co-word analysis was performed (existing relationships between topics), as well as the analysis of co-occurrence of the keywords, through the use of the two software programs mentioned above: VOSviewer and Bibliometrix. In fourth place, different co-occurrence analyses were performed of the total keywords with VOSviewer, of the total database (at the general level and as a function of the publication date), and lastly, of the subgroups generated (HCW, patients, students and other population). In all cases, the value of the frequencies were adjusted and modified to obtain networks that were visually similar with respect to the number of words represented. And lastly, a Thematic Evolution Analysis was performed based on the connections between the author&#x2019;s keywords (<xref ref-type="bibr" rid="ref42">42</xref>).</p>
<p>The interaction analyses performed (authors, countries, and keywords) allowed us to evaluate their more frequent relationships (<xref ref-type="bibr" rid="ref43">43</xref>), and provided us with a list of connections between them and their resulting network. The network of connections was represented through different-sized circles or nodes (for each author, country, or keyword), which represented their frequency, and lines of different thicknesses that connect the nodes, representing the intensity of occurrence (<xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref45">45</xref>). The greater the frequency, the greater the correlation, and an increased probability of belonging to the same cluster (<xref ref-type="bibr" rid="ref46">46</xref>).</p>
</sec>
</sec>
</sec>
<sec id="sec16" sec-type="results">
<label>3.</label>
<title>Results</title>
<p>In total, 1,129 articles were identified, and after the elimination of duplicates and the application of the filters according to the type of document, 1,062 articles were analyzed with respect to the title and abstract, considering the inclusion and exclusion criteria. Finally, 777 articles were included (<xref rid="fig1" ref-type="fig">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Flowchart of the results of the search according to the PRISMA standard (adapted version).</p>
</caption>
<graphic xlink:href="fpubh-11-1075729-g001.tif"/>
</fig>
<sec id="sec17">
<label>3.1.</label>
<title>General characteristics of the bibliometric analysis</title>
<p>With respect to the NAY, all the articles were published between the years 2020 and 2022 (<xref rid="fig2" ref-type="fig">Figure 2</xref>), with the largest number of publications (~56%) and citations found in 2021.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Number of publications and citations per year. Source: Web of Science.</p>
</caption>
<graphic xlink:href="fpubh-11-1075729-g002.tif"/>
</fig>
<p>Through the citation report (&#x201C;Analyze results&#x201D;), obtained directly from WoSCC, and a manual review of the publications to identify the population studied, we identified the general characteristics of the articles included in the bibliometric analysis (<xref rid="tab2" ref-type="table">Table 2</xref>). The results on language used indicated that most of the publications were written in English, and as for the population studied, slightly more than half of the publications were on specific population groups.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Summary of key characteristics of included articles.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Classification</th>
<th align="center" valign="top">Articles (<italic>N</italic>&#x2009;=&#x2009;777) No. (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" colspan="2"><bold>Language</bold></td>
</tr>
<tr>
<td align="left" valign="middle">English</td>
<td align="char" valign="middle" char=".">769 (98.97)</td>
</tr>
<tr>
<td align="left" valign="middle">Spanish</td>
<td align="char" valign="middle" char=".">6 (0.77)</td>
</tr>
<tr>
<td align="left" valign="middle">French</td>
<td align="char" valign="middle" char=".">1 (0.13)</td>
</tr>
<tr>
<td align="left" valign="middle">German</td>
<td align="char" valign="middle" char=".">1 (0.13)</td>
</tr>
<tr>
<td align="left" valign="middle" char="." colspan="2"><bold>Population</bold></td>
</tr>
<tr>
<td align="left" valign="middle">Health care workers (HCW)/healthcare providers<xref rid="tfn1" ref-type="table-fn">&#x002A;</xref></td>
<td align="char" valign="middle" char=".">253 (32.56)</td>
</tr>
<tr>
<td align="left" valign="middle">Students<xref rid="tfn2" ref-type="table-fn">&#x002A;&#x002A;</xref></td>
<td align="char" valign="middle" char=".">121 (15.57)</td>
</tr>
<tr>
<td align="left" valign="middle">Patients&#x02C6;</td>
<td align="char" valign="middle" char=".">73 (9.39)</td>
</tr>
<tr>
<td align="left" valign="middle">Other population&#x02E0;</td>
<td align="char" valign="middle" char=".">330 (42.47)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1">
<label>&#x002A;</label>
<p>Health care workers (HCW)/healthcare providers included: physicians, nurses and midwives, nursing assistants, dentists and dental assistants, pharmacists, physiotherapists, psychologists, ophthalmologists and medical laboratory professionals.</p>
</fn>
<fn id="tfn2">
<label>&#x002A;&#x002A;</label>
<p>Students included: high school students/middle school students, university undergraduates/university students/college students.</p>
</fn>
<p>&#x02C6;Patients included: people living with HIV/AIDS, people with rheumatoid arthritis, cancer, gynecological oncology, COVID-19, hypertension, heart disease, chronic disease, dermatological disease, psychiatric disease or spinal cord injury; people admitted to hospitals, psychiatric hospitals, or diagnosed with a previous myocardial infarction; and people visiting dental institutions, attending a family medicine clinic, outpatient screening visits for COVID-19, visiting the outpatient service or visiting eye hospitals, pregnant women and women seeking fertility treatment. &#x02E0;In the Other population group, all the articles that were not directed specifically to the three previous groups were placed here (i.e., adult population, older adult people, rural population, urban residents, restaurant customers, religious, travelers, etc.).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec18">
<label>3.2.</label>
<title>Authors</title>
<p>From the 777 articles included, a total of 4,728 authors were identified. The authors with the highest number of published documents were: M. Adane (<italic>n</italic>&#x2009;=&#x2009;7), G. Berihun (<italic>n</italic>&#x2009;=&#x2009;6) and M. Baig, D. Teshome, and Z. Walle (all of them with 5 articles). Nevertheless, when considering another measurement, the five authors with the highest impact (all of them with an H-Index of 4) were: Teshome, H. Sacre, A. Khaled, Y. Zhou and M.M. Rahman (with 5, 4, 3, 3, and 2 articles, respectively).</p>
<p>In addition, the results indicated that 27.93% of the authors had written a publication with other international authors (international co-authorships). Of these, G. Berihun established the most collaboration networks, followed by L. Berhanu, D. Teshome, M. Adane, Z. Walle and M. Abebe.</p>
</sec>
<sec id="sec19">
<label>3.3.</label>
<title>Most cited documents</title>
<p><xref rid="tab3" ref-type="table">Table 3</xref> summarizes the characteristics of the ten most-cited articles. Zhong et al. (<xref ref-type="bibr" rid="ref52">52</xref>), with the article &#x201C;Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey,&#x201D; sets itself apart from the rest with respect to the number of citations, as it accumulated 1,090 TC. This article was published in the international journal of Biological Science. With respect to the population studied in the articles, half of them were centered on the &#x201C;other population&#x201D; group (<xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref49 ref50 ref51 ref52">49&#x2013;52</xref>), four towards health professionals (<xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref53 ref54 ref55">53&#x2013;55</xref>), and one on patients (individuals with chronic diseases) (<xref ref-type="bibr" rid="ref56">56</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Top 10 cited documents.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">N&#x00B0;</th>
<th align="left" valign="top">Authors (publication year) (reference)</th>
<th align="left" valign="top">Title</th>
<th align="left" valign="top">Population group classification (population of the study, n)</th>
<th align="center" valign="top">Citations (Global citations)</th>
<th align="left" valign="top">Journal</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="left" valign="middle">Zhong et al. (2020) (<xref ref-type="bibr" rid="ref43">43</xref>)</td>
<td align="left" valign="middle">Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey</td>
<td align="left" valign="middle">Residents (Chinese residents, <italic>n</italic> =&#x2009;6.910)</td>
<td align="center" valign="middle">1,090</td>
<td align="left" valign="middle">International Journal of Biological Science</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="left" valign="middle">Azlan et al. (2020) (<xref ref-type="bibr" rid="ref44">44</xref>)</td>
<td align="left" valign="middle">Public knowledge, attitudes and practices towards COVID-19: a cross-sectional study in Malaysia</td>
<td align="left" valign="middle">Residents (Malaysian residents, <italic>n</italic> =&#x2009;4.850)</td>
<td align="center" valign="middle">375</td>
<td align="left" valign="middle">PLoS One</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="left" valign="middle">Zhang et al. (2020) (<xref ref-type="bibr" rid="ref47">47</xref>)</td>
<td align="left" valign="middle">Knowledge, attitude, and practice regarding COVID-19 among healthcare workers in Henan, China</td>
<td align="left" valign="middle">Health care workers (doctors, nurses, and paramedics, <italic>n</italic> =&#x2009;1.357)</td>
<td align="center" valign="middle">304</td>
<td align="left" valign="middle">Journal of Hospital Infection</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="left" valign="middle">Al-Hanawi et al. (2020) (<xref ref-type="bibr" rid="ref45">45</xref>)</td>
<td align="left" valign="middle">Knowledge, attitude and practice toward COVID-19 among the public in the Kingdom of Saudi Arabia: a cross-sectional study</td>
<td align="left" valign="middle">Residents (general population of Saudi Arabian, <italic>n</italic> =&#x2009;3.388)</td>
<td align="center" valign="middle">299</td>
<td align="left" valign="middle">Frontiers in Public Health</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="left" valign="middle">Wolf et al. (2020) (<xref ref-type="bibr" rid="ref48">48</xref>)</td>
<td align="left" valign="middle">Awareness, attitudes, and actions related to COVID-19 among adults with chronic conditions at the onset of the United States outbreak a cross-sectional survey</td>
<td align="left" valign="middle">Patients (United States adults aged 23 to 88&#x2009;years living with 1 or more chronic conditions, <italic>n</italic> =&#x2009;630)</td>
<td align="center" valign="middle">287</td>
<td align="left" valign="middle">Annals of Internal Medicine</td>
</tr>
<tr>
<td align="left" valign="middle">6</td>
<td align="left" valign="middle">Saqlain et al. (2020) (<xref ref-type="bibr" rid="ref49">49</xref>)</td>
<td align="left" valign="middle">Knowledge, attitude, practice and perceived barriers among healthcare workers regarding COVID-19: a cross-sectional survey from Pakistan</td>
<td align="left" valign="middle">Health care workers (doctors, pharmacists and nurses, <italic>n</italic> =&#x2009;414)</td>
<td align="center" valign="middle">225</td>
<td align="left" valign="middle">Journal of Hospital Infection</td>
</tr>
<tr>
<td align="left" valign="middle">7</td>
<td align="left" valign="middle">Olum et al. (2020) (<xref ref-type="bibr" rid="ref50">50</xref>)</td>
<td align="left" valign="middle">Coronavirus disease-2019: knowledge, attitude, and practices of health care workers at Makerere University Teaching Hospitals, Uganda</td>
<td align="left" valign="middle">Health care workers (nurses, midwives, internship doctors, medical officers, senior house officers, and specialists, <italic>n</italic> =&#x2009;581)</td>
<td align="center" valign="middle">213</td>
<td align="left" valign="middle">Frontiers in Public Health</td>
</tr>
<tr>
<td align="left" valign="middle">8</td>
<td align="left" valign="middle">Khader et al. (2020) (<xref ref-type="bibr" rid="ref51">51</xref>)</td>
<td align="left" valign="middle">Dentists&#x2019; awareness, perception, and attitude regarding COVID-19 and infection control: cross-sectional study among Jordanian dentists</td>
<td align="left" valign="middle">Health care workers (dentists, <italic>n</italic> =&#x2009;700)</td>
<td align="center" valign="middle">179</td>
<td align="left" valign="middle">JMIR Public Health and Surveillance</td>
</tr>
<tr>
<td align="left" valign="middle">9</td>
<td align="left" valign="middle">Ferdous et al. (2020) (<xref ref-type="bibr" rid="ref46">46</xref>)</td>
<td align="left" valign="middle">Knowledge, attitude, and practice regarding COVID-19 outbreak in Bangladesh: an online-based cross-sectional study</td>
<td align="left" valign="middle">Residents (Bangladeshi residents aged 12&#x2013;64&#x2009;years, <italic>n</italic> =&#x2009;2.017)</td>
<td align="center" valign="middle">166</td>
<td align="left" valign="middle">PLoS One</td>
</tr>
<tr>
<td align="left" valign="middle">10</td>
<td align="left" valign="middle">Reuben et al. (2021) (<xref ref-type="bibr" rid="ref52">52</xref>)</td>
<td align="left" valign="middle">Knowledge, Attitudes and Practices Towards COVID-19: An Epidemiological Survey in North-Central Nigeria</td>
<td align="left" valign="middle">Residents (residents of north-central Nigeria, <italic>n</italic> =&#x2009;589)</td>
<td align="center" valign="middle">153</td>
<td align="left" valign="middle">Journal of Community Health</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec20">
<label>3.4.</label>
<title>Countries</title>
<p>The results on the origin of the articles showed that the country with the most citations was China, followed by Saudi Arabia, United States, Pakistan, and Ethiopia. Nevertheless, according to the number of documents, Saudi Arabia and India had the most publications, followed by Ethiopia and the United States (<xref rid="tab4" ref-type="table">Table 4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Country ranking according to number of citations and number of articles published.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Ranking position by number of citations</th>
<th align="left" valign="top">Country</th>
<th align="center" valign="top">No. of citations</th>
<th align="center" valign="top">Ranking position by number of papers</th>
<th align="center" valign="top">No. of papers</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="left" valign="middle">Peoples R China</td>
<td align="center" valign="middle">2019</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">65</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="left" valign="middle">Saudi Arabia</td>
<td align="center" valign="middle">875</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">113</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="left" valign="middle">USA</td>
<td align="center" valign="middle">803</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">69</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="left" valign="middle">Pakistan</td>
<td align="center" valign="middle">561</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">63</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="left" valign="middle">Ethiopia</td>
<td align="center" valign="middle">536</td>
<td align="center" valign="middle">3</td>
<td align="center" valign="middle">69</td>
</tr>
<tr>
<td align="left" valign="middle">6</td>
<td align="left" valign="middle">India</td>
<td align="center" valign="middle">531</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">110</td>
</tr>
<tr>
<td align="left" valign="middle">7</td>
<td align="left" valign="middle">Malaysia</td>
<td align="center" valign="middle">468</td>
<td align="center" valign="middle">7</td>
<td align="center" valign="middle">39</td>
</tr>
<tr>
<td align="left" valign="middle">8</td>
<td align="left" valign="middle">Jordan</td>
<td align="center" valign="middle">462</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">33</td>
</tr>
<tr>
<td align="left" valign="middle">9</td>
<td align="left" valign="middle">Nigeria</td>
<td align="center" valign="middle">295</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="middle">26</td>
</tr>
<tr>
<td align="left" valign="middle">10</td>
<td align="left" valign="middle">Bangladesh</td>
<td align="center" valign="middle">282</td>
<td align="center" valign="middle">11</td>
<td align="center" valign="middle">28</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Considering the institutions with the most influence (those with more than 20 articles published in the three-year period analyzed, 2020&#x2013;2022), these were: University of Gondar (<italic>n</italic>&#x2009;=&#x2009;39) located in Ethiopia, King Saud University (<italic>n</italic>&#x2009;=&#x2009;28), from Saudi Arabia, and the Egyptian Knowledge Bank (EKB) (<italic>n</italic>&#x2009;=&#x2009;23) located in Egypt.</p>
<p>The existing collaboration between countries was also analyzed. <xref rid="fig3" ref-type="fig">Figure 3</xref> shows that the countries with the most collaborations, resulting in the highest number of contact networks, were Saudi Arabia, India, the United States, People&#x2019;s Republic of China, and Pakistan. More specifically, it was observed that the collaboration networks could be broken down into seven clusters: (i) blue, composed of 23 countries, three of which were in the top 5 in number of publications (India, the United States, and People&#x2019;s Republic of China); (ii) brown: composed of 7 countries, among which we find Saudi Arabia, the country with the highest number of publications; (iii) orange: composed of 6 countries, one of which is Ethiopia (third-highest country in number of publications); (iv) green: composed of 6 countries; (v) purple: composed of France and Cyprus; and (vi) pink, with a single country, Lebanon.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Network visualization map of co-authorship country and the top five countries with the highest number of publications (this is indicated as superscript numbers in red, from 1 to 5).</p>
</caption>
<graphic xlink:href="fpubh-11-1075729-g003.tif"/>
</fig>
</sec>
<sec id="sec21">
<label>3.5.</label>
<title>Publishers, journals and research areas</title>
<p>The publishers with the highest number of publications were the Multidisciplinary Digital Publishing Institute (MDPI) (<italic>n</italic>&#x2009;=&#x2009;83, 10.68%), Springer Nature (<italic>n</italic>&#x2009;=&#x2009;71, 9.14%), Dove Medical Press Ltd., (<italic>n</italic>&#x2009;=&#x2009;63, 8.11%), Public Library of Science (<italic>n</italic>&#x2009;=&#x2009;61, 7.85%) and Frontiers Media S.A. (<italic>n</italic>&#x2009;=&#x2009;60, 7.72%), with the rest of the publishers having less than 50 publications each.</p>
<p>The five journals with the highest number of publications were PLOS ONE (59, 7.59%), Frontiers in Public Health (49, 6.30%), International Journal of Environmental Research and Public Health (49, 6.30%), BMC Public Health (21, 2.70%), and Risk Management and Healthcare Policy (20, 2.57%). The journal with the greatest growth since 2020, with respect to the total number of publications was Frontiers in Public Health (<xref rid="fig4" ref-type="fig">Figure 4</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Source Growth by cumulate occurrences.</p>
</caption>
<graphic xlink:href="fpubh-11-1075729-g004.tif"/>
</fig>
<p>As for the journals with the highest impact, these were: PLOS ONE (786 LC), Lancet (576 LC), International Journal of Environmental Research and Public Health (508 LC), Frontiers in Public Health (447 LC), and The New England Journal of Medicine (383 LC). The journals that were in the top 5 in the number of publications, such as BMC Public Health and Risk Management and Healthcare Policy, were found in the seventh (356 LC), and fortieth positions (67 LC), respectively. However, when considering other measurements of impact, such as TC and H-Index, the results were different. The top five sources with the highest TC were: PLOS ONE (1,205 TC), International Journal of Biological Science (1,090 TC), Frontiers in Public Health (795 TC), International Journal of Environmental Research and Public Health (628 TC), and Journal of Hospital Infection (529 TC). Two of the journals that were found in the top 5 in the number of publications, occupied lower positions with respect to the number of TC: BMC Public Health was found in the seventh position, with 410 TC, and Risk Management and Healthcare Policy was in the eleventh position, with 132 TC. As for the H-Index, the order of the journals with the most impact were: PLOS ONE (16 H-Index), International Journal of Environmental Research and Public Health (11), BMC Public Health (10), Journal of Community Health (10), and Frontiers in Public Health (9), with the Risk Management and Healthcare Policy journal found in the eight position, with an H-Index of 7.</p>
<p>If we analyze the impact of the research area or category, as a function of the number of publications, it was observed that the Public, Environmental &#x0026; Occupational Health category occupied the first position (<italic>n</italic>&#x2009;=&#x2009;264, 33.98%), followed by Medicine, General and Internal (<italic>n</italic>&#x2009;=&#x2009;117, 15.06%), and Health Care Sciences and Services (<italic>n</italic>&#x2009;=&#x2009;84, 10.81%). According to the Journal Citation Reports, each of these categories was comprised by 160, 330 and 160 journals, respectively. As for the WoS index, 474 (61.00%) were found in the Science Citation Index Expanded (SCI-Expanded or SCIE), 287 (36.94%) in the Social Science Citation Index, and 265 (34.11%) in the Emerging Sources Citation Index (ESCI).</p>
<p>Lastly, as a summary, the journals that were found in the top 5 positions of any of the four impact indicators utilized, were analyzed (record count, no. of LC, TC and H-Index) (<xref rid="tab5" ref-type="table">Table 5</xref>). A total of ten journals were identified. It should be highlighted that they originated from different publishers, as most of them belonged to a different publisher (except two of them, which belonged to Elsevier). With respect to category, half of the journals were classified in the Public, Environmental and Occupational Health category, and the SCIE publication.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Characteristics of the journals with the most relevance in different classifications (by record count, no. of local citations, total citations and H-Index).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Publishers</th>
<th align="left" valign="top" rowspan="2">Journal</th>
<th align="center" valign="top" colspan="4">TOP 5</th>
<th align="center" valign="top" rowspan="2">JIF (2021)</th>
<th align="center" valign="top" rowspan="2">JIF without self-citations (2021)</th>
<th align="left" valign="top" rowspan="2">Edition</th>
<th align="left" valign="top" rowspan="2">Research area or category</th>
<th align="center" valign="top" rowspan="2">JIF rank and quartile (2021)</th>
</tr>
<tr>
<th align="center" valign="top">Record count</th>
<th align="center" valign="top">No. of local citations</th>
<th align="center" valign="top">Total citations</th>
<th align="center" valign="top">H-Index</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="2">Public Library of Science (PLoS)</td>
<td align="left" valign="middle" rowspan="2">PLoS One</td>
<td align="center" valign="middle" rowspan="2">x</td>
<td align="center" valign="middle" rowspan="2">x</td>
<td align="center" valign="middle" rowspan="2">x</td>
<td align="center" valign="middle" rowspan="2">x</td>
<td align="char" valign="middle" char="." rowspan="2">3.752</td>
<td align="char" valign="middle" char="." rowspan="2">3.608</td>
<td align="left" valign="middle">SCIE</td>
<td align="left" valign="middle">Multidisciplinary Science</td>
<td align="center" valign="middle">29/73 Q2</td>
</tr>
<tr>
<td align="left" valign="middle">SCIE</td>
<td align="left" valign="middle">Biology</td>
<td align="center" valign="middle">NA</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Frontiers Media S.A.</td>
<td align="left" valign="middle" rowspan="2">Frontiers in Public Health</td>
<td align="center" valign="middle" rowspan="2">x</td>
<td align="center" valign="middle" rowspan="2">x</td>
<td align="center" valign="middle" rowspan="2">x</td>
<td align="center" valign="middle" rowspan="2">x</td>
<td align="char" valign="middle" char="." rowspan="2">6.461</td>
<td align="char" valign="middle" char="." rowspan="2">6.122</td>
<td align="left" valign="middle">SSCI</td>
<td align="left" valign="middle">Public, Environmental and Occupational Health</td>
<td align="center" valign="middle">18/182 Q1</td>
</tr>
<tr>
<td align="left" valign="middle">SCIE</td>
<td align="left" valign="middle">Public, Environmental and Occupational Health</td>
<td align="center" valign="middle">37/210 Q1</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="3">MDPI</td>
<td align="left" valign="middle" rowspan="3">International Journal of Environmental Research and Public Health</td>
<td align="center" valign="middle" rowspan="3">x</td>
<td align="center" valign="middle" rowspan="3">x</td>
<td align="center" valign="middle" rowspan="3">x</td>
<td align="center" valign="middle" rowspan="3">x</td>
<td align="char" valign="middle" char="." rowspan="3">4.614</td>
<td align="char" valign="middle" char="." rowspan="3">3.994</td>
<td align="left" valign="middle">SCIE</td>
<td align="left" valign="middle">Environmental Science</td>
<td align="center" valign="middle">100/279 Q2</td>
</tr>
<tr>
<td align="left" valign="middle">SCIE</td>
<td align="left" valign="middle">Public, Environmental and Occupational Health</td>
<td align="center" valign="middle">71/210 Q2</td>
</tr>
<tr>
<td align="left" valign="middle">SSCI</td>
<td align="left" valign="middle">Public, Environmental and Occupational Health</td>
<td align="center" valign="middle">45/182 Q1</td>
</tr>
<tr>
<td align="left" valign="middle">BioMed Central Ltd.</td>
<td align="left" valign="middle">BMC Public Health</td>
<td align="center" valign="middle">x</td>
<td/>
<td/>
<td align="center" valign="middle">x</td>
<td align="char" valign="middle" char=".">4.135</td>
<td align="char" valign="middle" char=".">3.944</td>
<td align="left" valign="middle">SCIE</td>
<td align="left" valign="middle">Public, Environmental and Occupational Health</td>
<td align="center" valign="middle">83/210 Q2</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Dove Medical Press Ltd.</td>
<td align="left" valign="middle" rowspan="2">Risk Management and Healthcare Policy</td>
<td align="center" valign="middle" rowspan="2">x</td>
<td rowspan="2"/>
<td rowspan="2"/>
<td rowspan="2"/>
<td align="char" valign="middle" char="." rowspan="2">2.853</td>
<td align="char" valign="middle" char="." rowspan="2">2.688</td>
<td align="left" valign="middle">SCIE</td>
<td align="left" valign="middle">Health Care Sciences and Services</td>
<td align="center" valign="middle">64/109 Q3</td>
</tr>
<tr>
<td align="left" valign="middle">SSCI</td>
<td align="left" valign="middle">Health Policy and Services</td>
<td align="center" valign="middle">43/88 Q2</td>
</tr>
<tr>
<td align="left" valign="middle">Elsevier</td>
<td align="left" valign="middle">Lancet</td>
<td/>
<td align="center" valign="middle">x</td>
<td/>
<td/>
<td align="char" valign="middle" char=".">202.731</td>
<td align="char" valign="middle" char=".">201.484</td>
<td align="left" valign="middle">SCIE</td>
<td align="left" valign="middle">Medicine, General and Internal</td>
<td align="center" valign="middle">1/172 Q1</td>
</tr>
<tr>
<td align="left" valign="middle">Massachusetts Medical Society</td>
<td align="left" valign="middle">New England Journal of Medicine</td>
<td/>
<td align="center" valign="middle">x</td>
<td/>
<td/>
<td align="char" valign="middle" char=".">176.079</td>
<td align="char" valign="middle" char=".">175.310</td>
<td align="left" valign="middle">SCIE</td>
<td align="left" valign="middle">Medicine, General and Internal</td>
<td align="center" valign="middle">2/172 Q1</td>
</tr>
<tr>
<td align="left" valign="middle">Ivyspring International Publisher</td>
<td align="left" valign="middle">International Journal of Biological Science</td>
<td/>
<td/>
<td align="center" valign="middle">x</td>
<td/>
<td align="char" valign="middle" char=".">10.750</td>
<td align="char" valign="middle" char=".">10.626</td>
<td align="left" valign="middle">SCIE</td>
<td align="left" valign="middle">Biochemistry and Molecular Biology</td>
<td align="center" valign="middle">28/296 Q1</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Elsevier</td>
<td align="left" valign="middle" rowspan="2">Journal of Hospital Infection</td>
<td rowspan="2"/>
<td rowspan="2"/>
<td align="center" valign="middle" rowspan="2">x</td>
<td rowspan="2"/>
<td align="char" valign="middle" char="." rowspan="2">8.944</td>
<td align="char" valign="middle" char="." rowspan="2">8.579</td>
<td align="left" valign="middle">SCIE</td>
<td align="left" valign="middle">Infectious Diseases</td>
<td align="center" valign="middle">18/94 Q1</td>
</tr>
<tr>
<td align="left" valign="middle">SCIE</td>
<td align="left" valign="middle">Public, Environmental and Occupational Health</td>
<td align="center" valign="middle">18/210 Q1</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="2">Springer Science+Business Media</td>
<td align="left" valign="middle" rowspan="2">Journal of Community Health</td>
<td rowspan="2"/>
<td rowspan="2"/>
<td rowspan="2"/>
<td align="center" valign="middle" rowspan="2">x</td>
<td align="char" valign="middle" char="." rowspan="2">4.371</td>
<td align="char" valign="middle" char="." rowspan="2">4.325</td>
<td align="left" valign="middle">SSCI</td>
<td align="left" valign="middle">Health Policy and Services</td>
<td align="center" valign="middle">15/88 Q1</td>
</tr>
<tr>
<td align="left" valign="middle">SSCI</td>
<td align="left" valign="middle">Public, Environmental and Occupational Health</td>
<td align="center" valign="middle">51/182 Q2</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>JIF, journal impact factor; SCIE, science citation index expanded; SSCI, social sciences citation index; NA, not available.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec22">
<label>3.6.</label>
<title>Keyword co-occurrence analysis</title>
<p>In general, 443 keyword Plus and 1,117 author&#x2019;s keywords were found in the 777 publications analyzed in the present review.</p>
<p>When considering the total number of keywords (including the Keywords Plus and the Author&#x2019;s keywords) of the publications, and when they were examined through co-occurrence analysis (<xref rid="fig5" ref-type="fig">Figure 5A</xref>), it was observed that the most frequent were: COVID-19 (526 occurrences), knowledge (416), attitude (260), practice (175) and attitudes (161). Also, a total of 5 clusters were found. The cluster with the most items (#1) contained: anxiety, attitudes, awareness, care, COVID-19 pandemic, health, health knowledge, impact infection, perception, prevention, Sars and workers. The second cluster (#2) was composed by: China, coronavirus, COVID-19, healthcare workers, KAP, outbreak, pandemic, Saudi Arabia, transmission, vaccine and Wuhan. The third cluster (#3) contained: behavior, dentistry, infection control, public health, risk, risk perception, SARS-COV-2 and survey. The fourth cluster (#4): attitude, epidemic, Ethiopia, health-care workers, knowledge, practice, practices and residents, and lastly, the fifth cluster (#5) was composed by a single word, students.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Network map of 15,151 keywords with frequency more than 17. The network on the left <bold>(A)</bold> shows the clusters created, and that on the right <bold>(B)</bold> shows the same results as a function of the publication date.</p>
</caption>
<graphic xlink:href="fpubh-11-1075729-g005.tif"/>
</fig>
<p>If these networks were analyzed with respect to the year of publication, it was observed that the most frequent keywords at the start of the pandemic (in 2020) were: coronavirus, China, Wuhan, dentistry and survey. The trend towards 2021 showed keywords such as: pandemic, practice, covid-10, knowledge, attitude, and outbreak. Lastly, after 2021, the keywords were: health-care workers, anxiety, impact, health knowledge, vaccine, perceptions and residents (<xref rid="fig5" ref-type="fig">Figure 5B</xref>).</p>
<p>When the same analysis was conducted, but this time with each of the population groups generated (HCW, patients, students, and other population), it was observed that the most frequent keywords in all of them were: COVID-19, knowledge and attitude (<xref rid="fig6" ref-type="fig">Figure 6</xref>).</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Network map as a function of the grouping of the articles according to type of population: <bold>(A)</bold> Health care workers (619 keywords with a frequency of more than 8); <bold>(B)</bold> students (368 keywords with a frequency of more than 5); <bold>(C)</bold> patients (276 keywords with a frequency of more than 3); and <bold>(D)</bold> other population (792 keywords with a frequency of more than 8)/.</p>
</caption>
<graphic xlink:href="fpubh-11-1075729-g006.tif"/>
</fig>
<p>The first group shown corresponded to the HCW, and four defined clusters were observed (<xref rid="fig6" ref-type="fig">Figure 6A</xref>). Some keywords from the clusters stood out: (#1) dentistry, dentists, personal protective equipment and transmission; and also (#3) nurses and vaccine. The group corresponding to the students was differentiated between four clusters (<xref rid="fig6" ref-type="fig">Figure 6B</xref>), highlighting: (#1) anxiety, medical students, mental-health, university students; (#2) university; and (#4) dental students. From the analysis of the patient group (<xref rid="fig6" ref-type="fig">Figure 6C</xref>), the following were observed: (#1) anxiety and care; and (#2) health literacy. With respect to the last group analyzed, &#x201C;other population,&#x201D; five clusters were generated (<xref rid="fig6" ref-type="fig">Figure 6D</xref>) with words such as: (#1) residents and students; (#2) vaccine; (#3) Ethiopia and preventive measures; (#4) behavior, public health and vaccination; and (5#) attitude, knowledge, practice and survey.</p>
<p>Lastly, the author&#x2019;s keywords were analyzed independently throughout the 3&#x2009;years studied (2020&#x2013;2022). With respect to the trends, the only word that was common throughout the years as a trending topic was &#x201C;face mask.&#x201D; Words such as &#x201C;COVID-19,&#x201D; &#x201C;knowledge&#x201D; and &#x201C;attitude&#x201D; were the most frequent (515, 354 and 224 respectively) in these 3&#x2009;years (specifically in 2021). However, if the changes in the theme of the author&#x2019;s keywords throughout these 3&#x2009;years (with a cutoff year of 2021) (<xref rid="fig7" ref-type="fig">Figure 7</xref>) are shown, it was observed that 2020 contained general words such as COVID-19 (coronavirus disease 2019, COVID-19 pandemic, pandemics and pandemic), and 2022 contained more specific author&#x2019;s keywords, such as preventive behavior, anxiety and hand hygiene.</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Author&#x2019;s keywords thematic evolution between 2020 and 2022.</p>
</caption>
<graphic xlink:href="fpubh-11-1075729-g007.tif"/>
</fig>
</sec>
</sec>
<sec id="sec23" sec-type="discussions">
<label>4.</label>
<title>Discussion</title>
<p>As far as we know, this is the first bibliometric article that analyzes the scientific production on KAP and COVID-19. Although other bibliometric analyses exist, on COVID-19 in general (<xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref57">57</xref>, <xref ref-type="bibr" rid="ref58">58</xref>), or more specific ones such as vaccination (<xref ref-type="bibr" rid="ref59">59</xref>), other personal protection equipment (<xref ref-type="bibr" rid="ref37">37</xref>), e-learning (<xref ref-type="bibr" rid="ref24">24</xref>) or on the integration of digital technologies and public health to combat COVID-19 (<xref ref-type="bibr" rid="ref60">60</xref>), none included a specific bibliometric analysis on KAP and COVID-19. Therefore, the present bibliometry has contributed towards the understanding of the trends and patterns of the publications on the subject, through a descriptive analysis of the most-cited articles, and the countries with the most citations and articles, and the journals in which they were published. On the other hand, it has provided information on the co-authorships and information on the most prolific authors, and it also shows the results of an analysis of co-occurrence of the keywords utilized. Also, given that a guide was not available which described the methodological steps taken, a detailed proposal was described through the addition of structures from other authors (<xref ref-type="bibr" rid="ref27">27</xref>, <xref ref-type="bibr" rid="ref28">28</xref>). Therefore, this study can be utilized by other researchers who want to perform a bibliometric analysis.</p>
<sec id="sec24">
<label>4.1.</label>
<title>General characteristics of the bibliometric analysis</title>
<p>Given that COVID-19 emerged in December, 2019, publications were only found starting in the year 2020. In this short period of 3&#x2009;years (2020&#x2013;2022), 777 original articles were published on KAP and COVID-19. The highest number of publications and citations appeared in 2021, about a year after the start of the worldwide pandemic caused by COVID-19. The same trend was observed with respect to scientific production in other bibliometric studies (<xref ref-type="bibr" rid="ref58">58</xref>, <xref ref-type="bibr" rid="ref59">59</xref>). However, some did not specify the years (<xref ref-type="bibr" rid="ref28">28</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref61">61</xref>), or they studied the coronavirus respiratory syndrome (SARS-CoV) and COVID-19, for which scientific articles were found as far back as 2003 (<xref ref-type="bibr" rid="ref57">57</xref>).</p>
<p>When analyzing the target audience of the articles, after which they were distributed into different groups, it was observed that more than half of the publications were directed to specific groups. This could be because health professionals, students (especially at the university level and in the area of health), and patients (for example, with chronic pathologies or currently under treatment), were the most affected by the pandemic (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref62">62</xref>, <xref ref-type="bibr" rid="ref63">63</xref>). In fact, four out of the ten most-cited articles were directed towards health professionals (<xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref53 ref54 ref55">53&#x2013;55</xref>). However, older individuals and children, who are also very vulnerable groups that suffered from the impact of the pandemic, were not identified in the articles studied.</p>
</sec>
<sec id="sec25">
<label>4.2.</label>
<title>Authors and most cited documents</title>
<p>The most prolific authors were M. Adane and G. Berigun. This result coincided with the finding that these two authors had the most collaborations, and shared five of their publications, all of which were centered on Ethiopia (<xref ref-type="bibr" rid="ref64 ref65 ref66 ref67 ref68">64&#x2013;68</xref>). As for their affiliation, both were part of the Department of Environmental Health (Wollo University, Dessie, Ethiopia).</p>
<p>In fact, the most prolific authors did not coincide with those who had the highest impact, except for D. Teshome (also from Wollo University, Dessie, Ethiopia), who had a high H-index, and who took third place in scientific production with five publications. Also, this author shared four of the articles with M. Adane or G. Berihun (<xref ref-type="bibr" rid="ref66 ref67 ref68 ref69">66&#x2013;69</xref>). The co-authorships between D. Teshome, M. Adane and G. Berihun, allowed them to be defined as the three authors with the most collaboration networks.</p>
<p>In spite of this, the most-cited article came from Zhong et al. (<xref ref-type="bibr" rid="ref52">52</xref>), published only 3&#x2009;months (March, 2020), after the worldwide emergency caused by COVID-19 (December, 2019). This article was written by seven authors, and none of them were found among the most-cited or with the highest impact according to their H-Index. In reality, they only published this article among the 777 included in the present bibliometric study.</p>
<p>As for the number of citations of the articles, the highest number of citations came from the nine articles published in 2020, with this publishing speed allowing them to be cited in the following 2&#x2009;years by articles that studied the same subject.</p>
</sec>
<sec id="sec26">
<label>4.3.</label>
<title>Countries</title>
<p>As for the countries with the most publications, Saudi Arabia and India had the most publications and collaborations. However, China had the highest number of citations, with a great advantage over the second-highest country, Saudi Arabia, although it was also found in fifth place with respect to the number of publications. This is because the first COVID-19 cases appeared in the Chinese city of Wuhan, and coinciding with Giannos et al. (<xref ref-type="bibr" rid="ref70">70</xref>), another reason could be that China was the first country to take measures based on evidence to reduce the impact of COVID-19.</p>
<p>Although the authors with the most collaborations and publications or a high H-Index value were from Ethiopia, this country did not stand out with respect to cooperation with other countries, and was found in third place in the number of publications and in fifth place in the number of citations.</p>
<p>With respect to the collaboration networks between countries, some trends were observed. A greater collaboration was established between Latin American countries (Colombia, Ecuador, Mexico, Venezuela, Peru, and Brazil), Arabic countries (Saudi Arabia, United Arab Emirates, Egypt, Morocco, Sudan, Jordan, and Iraq), and between African countries (Ethiopia, South Africa, Nigeria, Ghana, and Cameroon). In contrast, no clusters were identified between EU countries; only small collaborations were found between Spain and Greece, and Romania and Italy. This indicates that there was little collaboration between the EU countries for the development of studies and publications about KAP and COVID-19.</p>
</sec>
<sec id="sec27">
<label>4.4.</label>
<title>Journals and research areas</title>
<p>To describe the quality of the journals, the five journals with the greatest impact as a function of four different quality indicators were analyzed, and only three of them, PLOS One, Frontiers in Public Health and International Journal of Environmental Research and Public Health, were found in the top five of the four indicators. These three journals were indexed in the SCIE publication, within which we found 61% of the articles included in the bibliometric study, in the Q1 and Q2 quartiles.</p>
</sec>
<sec id="sec28">
<label>4.5.</label>
<title>Keyword co-occurrence analysis</title>
<p>The bibliometric analysis of the different keywords revealed the existence of a great diversity of terms with a high co-occurrence, thus showing the heterogeneity of the concepts related with KAP and COVID-19. Among the words found, we also identified concepts related with populations that were more vulnerable to COVID-19, such as health professionals and students. In spite of this, it was surprising to find that we did not detect words such as patient, older adult, or pregnant women, with these populations also vulnerable to the disease (<xref ref-type="bibr" rid="ref71 ref72 ref73 ref74">71&#x2013;74</xref>). It is possible that on many publications, the pathology or condition (e.g., pregnancy, chronic disease, etc.) was indicated instead of the population group, resulting in their unintended concealment. In the present bibliometric study, we opted to go further and analyze the keywords according to the four population groups (i.e., healthcare workers, patients, students, and other population), with a different spectrum of keywords observed for each of them. Thus, in the group of articles that dealt with subjects related to health workers, terms such as nurses, dentists, personal protective equipment, vaccine or transmission were identified; these concepts are mostly related with virus transmission and collectives (nurses and dentists) with a greater exposure to the disease (<xref ref-type="bibr" rid="ref75 ref76 ref77">75&#x2013;77</xref>). As for the group of patients, the more common concepts were anxiety, care and health literacy. These concepts are closely related with the greater uneasiness experienced by this collective, due to the large lack of knowledge on this aspect, indicating the great need for health literacy. As for the group of students, the main keywords were related with concepts such as university, medical students and dentistry students. Also, two keywords were identified with emotional aspects such as anxiety and mental health, thus characterizing the association of this group with COVID-19 and the KAP, as also mentioned by other authors (<xref ref-type="bibr" rid="ref78">78</xref>, <xref ref-type="bibr" rid="ref79">79</xref>). Lastly, for the other populations group, the more frequent terms were attitude, knowledge, practice and survey in a single cluster. This corroborates what was observed in the articles found associated to this group: all of them addressed KAP through surveys. Aside from these keywords, other high-frequency ones were found, such as: behavior, public health, vaccine or preventive measures, terms that addressed more heterogeneous concepts included in this disparate sector of the population.</p>
<p>Lastly, as for the evolution of the keywords in the short period of time analyzed, changes were observed in the usage trends of specific terms as the pandemic progressed. Thus, if at its start the terms were mostly associated with themes related to its origin (i.e., China and Wuhan) and infection control, towards the end of the pandemic, more publications were found about vaccines, anxiety, impact, or health knowledge. Other keywords that changed throughout the pandemic were related with prevention (i.e., face mask, hand hygiene, vaccine or vaccination) (<xref ref-type="bibr" rid="ref80">80</xref>, <xref ref-type="bibr" rid="ref81">81</xref>), or with relating to others and obtaining information online (i.e., social media) (<xref ref-type="bibr" rid="ref82">82</xref>). All of them are an indication of key aspects that were dealt with in a manner that was more or less specific, and which were maintained throughout the publications that dealt with the COVID-19 pandemic.</p>
</sec>
<sec id="sec29">
<label>4.6.</label>
<title>Limitations</title>
<p>As for the limitations of the present study, the first would be that the articles were obtained from a single database, WoSCC. However, this database is considered as the most important for bibliometric analyses (<xref ref-type="bibr" rid="ref83">83</xref>). In second place, there was an inherent bias in the citations variable, as these vary every day, and also, it was expected that the older articles would have more citations (<xref ref-type="bibr" rid="ref84">84</xref>). In third place, the keywords were not standardized before the co-occurrence analysis. This resulted in the appearance of some nodes that meant the same thing, for example, &#x201C;attitude&#x201D; and &#x201C;attitudes,&#x201D; so that the node was not larger with more co-occurrences. And lastly, as other authors suggested in their bibliometric study (<xref ref-type="bibr" rid="ref57">57</xref>), experts were not utilized to analyze the evolution of the keywords and their repercussion in the different areas of research, and multidisciplinary experts from other affiliations were not contacted for providing strategic proposals for future studies.</p>
</sec>
</sec>
<sec id="sec30" sec-type="conclusions">
<label>5.</label>
<title>Conclusion</title>
<p>This is the first bibliometric study that provides a detailed analysis of the scientific production on knowledge, attitudes and practices of the general population during the COVID-19 pandemic. The significant number of publications identified on KAP and its relationship to the COVID-19 pandemic, in the span of only 3&#x2009;years, provides evidence of the increased interest in this area.</p>
<p>The information on the publications provided in the present article not only tracks the shift on the state of the subject, but also provides bibliographic information that is relevant to future studies. At the same time, the co-occurrence and subject evolution analyses contribute towards the identification of a conceptual structure, the thematic evolution of the research studies, and provides a prediction of the trends on which future studies should be conducted. The detailed analysis of the main keywords used by the authors, as well as the trends in their use, showed that the approach to KAPs was different according to the different population groups identified in the study. Therefore, the results provide an indication on the population groups in which greater research was conducted on the KAP during the COVID-19 pandemic, and the nature of the most relevant themes for each of these groups. In addition, the results provide relevant information to the researchers who approached this subject for the first time. Therefore, the information provided in this study is a useful tool that can stimulate new studies and collaborations between researchers from different countries, areas and approaches. Lastly, at the methodological level, it offers a step-by-step guide for future authors who want to perform a bibliometric analysis.</p>
</sec>
<sec id="sec31">
<title>Author contributions</title>
<p>LS-P and CCam&#x00ED;: conception, design and collection data. CCam&#x00ED;, JR, and TB: conceptualization. LS-P: methodology, software and data analysis. LS-P, CCamp, and TB: screening literature. LS-P, CCam&#x00ED;, and AE: writing-original draft preparation. TB and JR: writing-review and editing. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="sec32" sec-type="funding-information">
<title>Funding</title>
<p>This study was funded by the project IlerCOVID, which was supported by the Agency for Management of University and Research Grants of the Department of Research and Universities of Generalitat de Catalunya (file number 2020 PANDE 00124).</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<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 id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;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>
<ref-list>
<title>References</title>
<ref id="ref1"><label>1.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>Q</given-names></name> <name><surname>Yang</surname> <given-names>X</given-names></name></person-group>. <article-title>How do pollutants change post-pandemic? Evidence from changes in five key pollutants in nine Chinese cities most affected by the COVID-19</article-title>. <source>Environ Res</source>. (<year>2021</year>) <volume>197</volume>:<fpage>111108</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.envres.2021.111108</pub-id>, PMID: <pub-id pub-id-type="pmid">33812870</pub-id></citation></ref>
<ref id="ref2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>Q</given-names></name> <name><surname>Zhang</surname> <given-names>Y</given-names></name></person-group>. <article-title>What does the China&#x2019;s economic recovery after COVID-19 pandemic mean for the economic growth and energy consumption of other countries?</article-title> <source>J Clean Prod</source>. (<year>2021</year>) <volume>295</volume>:<fpage>126265</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jclepro.2021.126265</pub-id>, PMID: <pub-id pub-id-type="pmid">33589853</pub-id></citation></ref>
<ref id="ref3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>Q</given-names></name> <name><surname>Huang</surname> <given-names>R</given-names></name></person-group>. <article-title>The impact of COVID-19 pandemic on sustainable development goals &#x2013; a survey</article-title>. <source>Environ Res</source>. (<year>2021</year>) <volume>202</volume>:<fpage>111637</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.envres.2021.111637</pub-id>, PMID: <pub-id pub-id-type="pmid">34233155</pub-id></citation></ref>
<ref id="ref4"><label>4.</label><citation citation-type="other"><person-group person-group-type="author"><collab id="coll1">World Health Organization</collab></person-group>. Coronavirus Disease (COVID-19); (<year>2022</year>). <comment>Available at: </comment><ext-link xlink:href="https://www.who.int/health-topics/coronavirus#tab=tab_1" ext-link-type="uri">https://www.who.int/health-topics/coronavirus#tab=tab_1</ext-link> (Accessed September 05, 2022).</citation></ref>
<ref id="ref5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Feldman</surname> <given-names>M</given-names></name> <name><surname>Krylova</surname> <given-names>VL</given-names></name> <name><surname>Farrow</surname> <given-names>P</given-names></name> <name><surname>Donovan</surname> <given-names>L</given-names></name> <name><surname>Zandamela</surname> <given-names>E</given-names></name> <name><surname>Rebelo</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Community health worker knowledge, attitudes and practices towards COVID-19: learnings from an online cross-sectional survey using a digital health platform, UpSCALE, in Mozambique</article-title>. <source>PLoS One</source>. (<year>2021</year>) <volume>16</volume>:<fpage>e0244924</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0244924</pub-id>, PMID: <pub-id pub-id-type="pmid">33566850</pub-id></citation></ref>
<ref id="ref6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>B</given-names></name> <name><surname>Shin</surname> <given-names>S</given-names></name> <name><surname>Wu</surname> <given-names>M</given-names></name> <name><surname>Liu</surname> <given-names>Z</given-names></name></person-group>. <article-title>Visualizing the knowledge domain in health education: a scientometric analysis based on CiteSpace</article-title>. <source>Int J Environ Res Public Health</source>. (<year>2022</year>) <volume>19</volume>:<fpage>6440</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijerph19116440</pub-id>, PMID: <pub-id pub-id-type="pmid">35682025</pub-id></citation></ref>
<ref id="ref7"><label>7.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vamos</surname> <given-names>SD</given-names></name> <name><surname>McDermott</surname> <given-names>RJ</given-names></name></person-group>. <article-title>Rebranding school health: the power of education for health literacy</article-title>. <source>J Sch Health</source>. (<year>2021</year>) <volume>91</volume>:<fpage>670</fpage>&#x2013;<lpage>6</lpage>. doi: <pub-id pub-id-type="doi">10.1111/josh.13056</pub-id>, PMID: <pub-id pub-id-type="pmid">34155651</pub-id></citation></ref>
<ref id="ref8"><label>8.</label><citation citation-type="book"><person-group person-group-type="author"><name><surname>Glanz</surname> <given-names>K</given-names></name> <name><surname>Rimer</surname> <given-names>BK</given-names></name> <name><surname>Viswanath</surname> <given-names>K</given-names></name></person-group>. <source>Health Behavior and Health Education: Theory, Research, and Practice</source>. <publisher-loc>San Francisco</publisher-loc>: <publisher-name>John Wiley &#x0026; Sons</publisher-name> (<year>2008</year>). <fpage>592</fpage> p.</citation></ref>
<ref id="ref9"><label>9.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>M</given-names></name> <name><surname>Fang</surname> <given-names>H</given-names></name></person-group>. <article-title>The effect of health education on knowledge and behavior toward respiratory infectious diseases among students in Gansu, China: a quasi-natural experiment</article-title>. <source>BMC Public Health</source>. (<year>2020</year>) <volume>20</volume>:<fpage>681</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12889-020-08813-3</pub-id>, PMID: <pub-id pub-id-type="pmid">32404088</pub-id></citation></ref>
<ref id="ref10"><label>10.</label><citation citation-type="other"><person-group person-group-type="author"><collab id="coll2">World Health Organization</collab></person-group>. Health Education: Theoretical Concepts, Effective Strategies and Core Competencies: A Foundation Document to Guide Capacity Development of Health Educators; (<year>2012</year>). <comment>Available at: </comment><ext-link xlink:href="https://apps.who.int/iris/handle/10665/119953" ext-link-type="uri">https://apps.who.int/iris/handle/10665/119953</ext-link> (Accessed September 05, 2022).</citation></ref>
<ref id="ref11"><label>11.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lopes</surname> <given-names>H</given-names></name> <name><surname>McKay</surname> <given-names>V</given-names></name></person-group>. <article-title>Adult learning and education as a tool to contain pandemics: the COVID-19 experience</article-title>. <source>Int Rev Educ</source>. (<year>2020</year>) <volume>66</volume>:<fpage>575</fpage>&#x2013;<lpage>602</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s11159-020-09843-0</pub-id>, PMID: <pub-id pub-id-type="pmid">32836371</pub-id></citation></ref>
<ref id="ref12"><label>12.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nguyen</surname> <given-names>HC</given-names></name> <name><surname>Nguyen</surname> <given-names>MH</given-names></name> <name><surname>Do</surname> <given-names>BN</given-names></name> <name><surname>Tran</surname> <given-names>CQ</given-names></name> <name><surname>Nguyen</surname> <given-names>TTP</given-names></name> <name><surname>Pham</surname> <given-names>KM</given-names></name> <etal/></person-group>. <article-title>People with suspected COVID-19 symptoms were more likely depressed and had lower health-related quality of life: the potential benefit of health literacy</article-title>. <source>J Clin Med</source>. (<year>2020</year>) <volume>9</volume>:<fpage>965</fpage>. doi: <pub-id pub-id-type="doi">10.3390/jcm9040965</pub-id>, PMID: <pub-id pub-id-type="pmid">32244415</pub-id></citation></ref>
<ref id="ref13"><label>13.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Papagiannis</surname> <given-names>D</given-names></name> <name><surname>Malli</surname> <given-names>F</given-names></name> <name><surname>Raptis</surname> <given-names>DG</given-names></name> <name><surname>Papathanasiou</surname> <given-names>IV</given-names></name> <name><surname>Fradelos</surname> <given-names>EC</given-names></name> <name><surname>Daniil</surname> <given-names>Z</given-names></name> <etal/></person-group>. <article-title>Assessment of knowledge, attitudes, and practices towards new coronavirus (SARS-CoV-2) of health care professionals in Greece before the outbreak period</article-title>. <source>Int J Environ Res Public Health</source>. (<year>2020</year>) <volume>17</volume>:<fpage>4925</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijerph17144925</pub-id>, PMID: <pub-id pub-id-type="pmid">32650614</pub-id></citation></ref>
<ref id="ref14"><label>14.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Andrade</surname> <given-names>C</given-names></name> <name><surname>Menon</surname> <given-names>V</given-names></name> <name><surname>Ameen</surname> <given-names>S</given-names></name> <name><surname>Praharaj</surname> <given-names>SK</given-names></name></person-group>. <article-title>Designing and conducting knowledge, attitude, and practice surveys in psychiatry: practical guidance</article-title>. <source>Indian J Psychol Med</source>. (<year>2020</year>) <volume>42</volume>:<fpage>478</fpage>&#x2013;<lpage>81</lpage>. doi: <pub-id pub-id-type="doi">10.1177/0253717620946111</pub-id>, PMID: <pub-id pub-id-type="pmid">33414597</pub-id></citation></ref>
<ref id="ref15"><label>15.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mohebbi</surname> <given-names>B</given-names></name> <name><surname>Tafaghodi</surname> <given-names>B</given-names></name> <name><surname>Sadeghi</surname> <given-names>R</given-names></name> <name><surname>Tol</surname> <given-names>A</given-names></name> <name><surname>Yekanenejad</surname> <given-names>MS</given-names></name></person-group>. <article-title>Factors predicting nutritional knowledge, illness perceptions, and dietary adherence among hypertensive middle-aged women: application of transtheoretical model</article-title>. <source>J Educ Health Promot</source>. (<year>2021</year>) <volume>10</volume>:<fpage>212</fpage>. doi: <pub-id pub-id-type="doi">10.4103/jehp.jehp_1434_20</pub-id>, PMID: <pub-id pub-id-type="pmid">34395649</pub-id></citation></ref>
<ref id="ref16"><label>16.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tol</surname> <given-names>A</given-names></name> <name><surname>Farhandi</surname> <given-names>H</given-names></name> <name><surname>Mohebbi</surname> <given-names>B</given-names></name> <name><surname>Sadeghi</surname> <given-names>R</given-names></name></person-group>. <article-title>BASNEF model intervention on blood pressure modification among hypertensive diabetic patients</article-title>. <source>J Educ Health Promot</source>. (<year>2017</year>) <volume>6</volume>:<fpage>47</fpage>. doi: <pub-id pub-id-type="doi">10.4103/jehp.jehp_140_15</pub-id>, PMID: <pub-id pub-id-type="pmid">28616414</pub-id></citation></ref>
<ref id="ref17"><label>17.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Khattak</surname> <given-names>S</given-names></name> <name><surname>Faheem</surname> <given-names>M</given-names></name> <name><surname>Nawaz</surname> <given-names>B</given-names></name> <name><surname>Khan</surname> <given-names>M</given-names></name> <name><surname>Khan</surname> <given-names>NH</given-names></name> <name><surname>Ullah</surname> <given-names>N</given-names></name> <etal/></person-group>. <article-title>Knowledge, attitude, and perception of cancer patients towards COVID-19 in Pakistan: a cross-sectional study</article-title>. <source>Int J Environ Res Public Health</source>. (<year>2022</year>) <volume>19</volume>:<fpage>7926</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijerph19137926</pub-id>, PMID: <pub-id pub-id-type="pmid">35805584</pub-id></citation></ref>
<ref id="ref18"><label>18.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Alkaabi</surname> <given-names>I</given-names></name> <name><surname>Abita</surname> <given-names>M</given-names></name> <name><surname>Mahdi</surname> <given-names>Y</given-names></name> <name><surname>Ouda</surname> <given-names>A</given-names></name> <name><surname>Malki</surname> <given-names>MI</given-names></name></person-group>. <article-title>Knowledge, attitude, practices, and sources of information (KAPS) toward COVID-19 during the second wave pandemic among university population in Qatar: a cross-sectional study</article-title>. <source>Front Public Health</source>. (<year>2022</year>) <volume>10</volume>:<fpage>906159</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpubh.2022.906159</pub-id>, PMID: <pub-id pub-id-type="pmid">35795704</pub-id></citation></ref>
<ref id="ref19"><label>19.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Salehi</surname> <given-names>A</given-names></name> <name><surname>Salmani</surname> <given-names>F</given-names></name> <name><surname>Norozi</surname> <given-names>E</given-names></name> <name><surname>Sadighara</surname> <given-names>P</given-names></name> <name><surname>Zeinali</surname> <given-names>T</given-names></name></person-group>. <article-title>Knowledge, attitudes and practices of Iranian people about food safety and hygiene during covid-19 pandemic</article-title>. <source>BMC Public Health</source>. (<year>2022</year>) <volume>22</volume>:<fpage>1148</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12889-022-13559-1</pub-id>, PMID: <pub-id pub-id-type="pmid">35676671</pub-id></citation></ref>
<ref id="ref20"><label>20.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Osareh</surname> <given-names>F</given-names></name></person-group>. <article-title>Bibliometrics, citations analysis and co-citation analysis: a review of literature I</article-title>. <source>Libri</source>. (<year>1996</year>) <volume>46</volume>:<fpage>149</fpage>&#x2013;<lpage>58</lpage>. doi: <pub-id pub-id-type="doi">10.1515/libr.1996.46.3.149</pub-id></citation></ref>
<ref id="ref21"><label>21.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pritchard</surname> <given-names>A</given-names></name></person-group>. <article-title>Statistical bibliography or bibliometrics?</article-title> <source>J Doc</source>. (<year>1969</year>) <volume>25</volume>:<fpage>348</fpage>&#x2013;<lpage>9</lpage>.</citation></ref>
<ref id="ref22"><label>22.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Garfield</surname> <given-names>E</given-names></name></person-group>. <article-title>Citation indexes for science; a new dimension in documentation through association of ideas</article-title>. <source>Science</source>. (<year>1955</year>) <volume>122</volume>:<fpage>108</fpage>&#x2013;<lpage>11</lpage>. doi: <pub-id pub-id-type="doi">10.1126/science.122.3159.108</pub-id></citation></ref>
<ref id="ref23"><label>23.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Garfield</surname> <given-names>E</given-names></name></person-group>. <article-title>Citation analysis as a tool in journal evaluation</article-title>. <source>Science</source>. (<year>1972</year>) <volume>178</volume>:<fpage>471</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1126/science.178.4060.471</pub-id></citation></ref>
<ref id="ref24"><label>24.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Garfield</surname> <given-names>E</given-names></name></person-group>. <article-title>The history and meaning of the journal impact factor</article-title>. <source>JAMA</source>. (<year>2006</year>) <volume>295</volume>:<fpage>90</fpage>&#x2013;<lpage>3</lpage>. doi: <pub-id pub-id-type="doi">10.1001/jama.295.1.90</pub-id>, PMID: <pub-id pub-id-type="pmid">16391221</pub-id></citation></ref>
<ref id="ref25"><label>25.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kokol</surname> <given-names>P</given-names></name> <name><surname>Bla&#x017E;un Vo&#x0161;ner</surname> <given-names>H</given-names></name> <name><surname>Zavr&#x0161;nik</surname> <given-names>J</given-names></name></person-group>. <article-title>Application of bibliometrics in medicine: a historical bibliometrics analysis</article-title>. <source>Health Inf Libr J</source>. (<year>2021</year>) <volume>38</volume>:<fpage>125</fpage>&#x2013;<lpage>38</lpage>. doi: <pub-id pub-id-type="doi">10.1111/hir.12295</pub-id>, PMID: <pub-id pub-id-type="pmid">31995273</pub-id></citation></ref>
<ref id="ref26"><label>26.</label><citation citation-type="book"><person-group person-group-type="author"><name><surname>Cecez-Kecmanovic</surname> <given-names>D</given-names></name> <name><surname>Kennan</surname> <given-names>MA</given-names></name></person-group>. <article-title>Bibliometric research</article-title> In: <person-group person-group-type="editor"><name><surname>Williamson</surname> <given-names>K</given-names></name> <name><surname>Johanson</surname> <given-names>G</given-names></name></person-group>, editors. <source>Research Methods: Information, Systems, and Contexts</source>. <publisher-loc>Cambridge, MA</publisher-loc>: <publisher-name>Chandos Publishing</publisher-name> (<year>2017</year>). <fpage>241</fpage>&#x2013;<lpage>66</lpage>.</citation></ref>
<ref id="ref27"><label>27.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Donthu</surname> <given-names>N</given-names></name> <name><surname>Kumar</surname> <given-names>S</given-names></name> <name><surname>Mukherjee</surname> <given-names>D</given-names></name> <name><surname>Pandey</surname> <given-names>N</given-names></name> <name><surname>Marc</surname> <given-names>LW</given-names></name></person-group>. <article-title>How to conduct a bibliometric analysis: an overview and guidelines</article-title>. <source>J Bus Res</source>. (<year>2021</year>) <volume>133</volume>:<fpage>285</fpage>&#x2013;<lpage>96</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jbusres.2021.04.070</pub-id></citation></ref>
<ref id="ref28"><label>28.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fauzi</surname> <given-names>MA</given-names></name></person-group>. <article-title>E-learning in higher education institutions during COVID-19 pandemic: current and future trends through bibliometric analysis</article-title>. <source>Heliyon</source>. (<year>2022</year>) <volume>8</volume>:<fpage>e09433</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.heliyon.2022.e09433</pub-id>, PMID: <pub-id pub-id-type="pmid">35600443</pub-id></citation></ref>
<ref id="ref29"><label>29.</label><citation citation-type="other"><person-group person-group-type="author"><collab id="coll3">Web of Science</collab></person-group>. Gu&#x00ED;a de Referencia R&#x00E1;pida; (<year>2016</year>). <comment>Available at: </comment><ext-link xlink:href="http://wokinfo.com/media/pdf/wos-corecoll_qrc_es.pdf" ext-link-type="uri">http://wokinfo.com/media/pdf/wos-corecoll_qrc_es.pdf</ext-link> (Accessed September 07, 2022).</citation></ref>
<ref id="ref30"><label>30.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname> <given-names>J</given-names></name> <name><surname>You</surname> <given-names>J-X</given-names></name> <name><surname>Liu</surname> <given-names>H-C</given-names></name> <name><surname>Song</surname> <given-names>M-S</given-names></name></person-group>. <article-title>Failure mode and effect analysis improvement: a systematic literature review and future research agenda</article-title>. <source>Reliab Eng Syst Saf</source>. (<year>2020</year>) <volume>199</volume>:<fpage>106885</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ress.2020.106885</pub-id></citation></ref>
<ref id="ref31"><label>31.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhao</surname> <given-names>X</given-names></name> <name><surname>Ke</surname> <given-names>Y</given-names></name> <name><surname>Zuo</surname> <given-names>J</given-names></name> <name><surname>Xiong</surname> <given-names>W</given-names></name> <name><surname>Wu</surname> <given-names>P</given-names></name></person-group>. <article-title>Evaluation of sustainable transport research in 2000&#x2013;2019</article-title>. <source>J Clean Prod</source>. (<year>2020</year>) <volume>256</volume>:<fpage>120404</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jclepro.2020.120404</pub-id></citation></ref>
<ref id="ref32"><label>32.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yu</surname> <given-names>Y</given-names></name> <name><surname>Li</surname> <given-names>Y</given-names></name> <name><surname>Zhang</surname> <given-names>Z</given-names></name> <name><surname>Gu</surname> <given-names>Z</given-names></name> <name><surname>Zhong</surname> <given-names>H</given-names></name> <name><surname>Zha</surname> <given-names>Q</given-names></name> <etal/></person-group>. <article-title>A bibliometric analysis using VOSviewer of publications on COVID-19</article-title>. <source>Ann Transl Med</source>. (<year>2020</year>) <volume>8</volume>:<fpage>816</fpage>. doi: <pub-id pub-id-type="doi">10.21037/atm-20-4235</pub-id>, PMID: <pub-id pub-id-type="pmid">32793661</pub-id></citation></ref>
<ref id="ref33"><label>33.</label><citation citation-type="other"><person-group person-group-type="editor"><name><surname>Aromataris</surname> <given-names>E</given-names></name> <name><surname>Munn</surname> <given-names>Z</given-names></name></person-group> (Editors). JBI Manual for Evidence Synthesis; (<year>2020</year>). <comment>Available at: </comment><ext-link xlink:href="https://synthesismanual.jbi.global" ext-link-type="uri">https://synthesismanual.jbi.global</ext-link>. (Accessed September 20, 2022).</citation></ref>
<ref id="ref34"><label>34.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Page</surname> <given-names>MJ</given-names></name> <name><surname>McKenzie</surname> <given-names>JE</given-names></name> <name><surname>Bossuyt</surname> <given-names>PM</given-names></name> <name><surname>Boutron</surname> <given-names>I</given-names></name> <name><surname>Hoffmann</surname> <given-names>TC</given-names></name> <name><surname>Mulrow</surname> <given-names>CD</given-names></name> <etal/></person-group>. <article-title>Declaraci&#x00F3;n PRISMA 2020: una gu&#x00ED;a actualizada para la publicaci&#x00F3;n de revisiones sistem&#x00E1;ticas</article-title>. <source>Rev Esp Cardiol</source>. (<year>2021</year>) <volume>74</volume>:<fpage>790</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.recesp.2021.06.016</pub-id>, PMID: <pub-id pub-id-type="pmid">34446261</pub-id></citation></ref>
<ref id="ref35"><label>35.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Aria</surname> <given-names>M</given-names></name> <name><surname>Cuccurullo</surname> <given-names>C</given-names></name></person-group>. <article-title>Bibliometrix: an R-tool for comprehensive science mapping analysis</article-title>. <source>J Informetr</source>. (<year>2017</year>) <volume>11</volume>:<fpage>959</fpage>&#x2013;<lpage>75</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.joi.2017.08.007</pub-id></citation></ref>
<ref id="ref36"><label>36.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yao</surname> <given-names>Q</given-names></name> <name><surname>Chen</surname> <given-names>K</given-names></name> <name><surname>Yao</surname> <given-names>L</given-names></name> <name><surname>Lyu</surname> <given-names>P</given-names></name> <name><surname>Yang</surname> <given-names>T</given-names></name> <name><surname>Luo</surname> <given-names>F</given-names></name> <etal/></person-group>. <article-title>Scientometric trends and knowledge maps of global health systems research</article-title>. <source>Health Res Policy Syst</source>. (<year>2014</year>) <volume>12</volume>:<fpage>26</fpage>. doi: <pub-id pub-id-type="doi">10.1186/1478-4505-12-26</pub-id>, PMID: <pub-id pub-id-type="pmid">24903126</pub-id></citation></ref>
<ref id="ref37"><label>37.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>Y</given-names></name> <name><surname>Hu</surname> <given-names>M</given-names></name> <name><surname>Wang</surname> <given-names>J</given-names></name> <name><surname>Wang</surname> <given-names>P</given-names></name> <name><surname>Shi</surname> <given-names>P</given-names></name> <name><surname>Zhao</surname> <given-names>W</given-names></name> <etal/></person-group>. <article-title>A bibliometric analysis of personal protective equipment and COVID-19 researches</article-title>. <source>Front Public Health</source>. (<year>2022</year>) <volume>10</volume>:<fpage>855633</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpubh.2022.855633</pub-id>, PMID: <pub-id pub-id-type="pmid">35570977</pub-id></citation></ref>
<ref id="ref38"><label>38.</label><citation citation-type="other"><person-group person-group-type="author"><collab id="coll4">RStudio</collab></person-group>. RStudio: Integrated Development Environment for R; (<year>2015</year>). <comment>Available at: </comment><ext-link xlink:href="http://www.rstudio.com/" ext-link-type="uri">http://www.rstudio.com/</ext-link> (Accessed August 24, 2022).</citation></ref>
<ref id="ref39"><label>39.</label><citation citation-type="other"><person-group person-group-type="author"><collab id="coll5">ArXiv</collab></person-group>. Text Mining and Visualization Using VOSviewer; (<year>2011</year>). <comment>Available at: </comment><ext-link xlink:href="https://arxiv.org/abs/1109.2058" ext-link-type="uri">https://arxiv.org/abs/1109.2058</ext-link> (Accessed August 24, 2022).</citation></ref>
<ref id="ref40"><label>40.</label><citation citation-type="other"><person-group person-group-type="author"><name><surname>Reuters</surname> <given-names>Thomson</given-names></name></person-group>. Web of Science: Quick Reference Card; (<year>2010</year>). <comment>Available at: </comment><ext-link xlink:href="http://wokinfo.com/media/pdf/qrc/wosqrc.pdf" ext-link-type="uri">http://wokinfo.com/media/pdf/qrc/wosqrc.pdf</ext-link> (Accessed September 29, 2022).</citation></ref>
<ref id="ref41"><label>41.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bornmann</surname> <given-names>L</given-names></name> <name><surname>Haunschild</surname> <given-names>R</given-names></name> <name><surname>Hug</surname> <given-names>SE</given-names></name></person-group>. <article-title>Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis</article-title>. <source>Scientometrics</source>. (<year>2018</year>) <volume>114</volume>:<fpage>427</fpage>&#x2013;<lpage>37</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s11192-017-2591-8</pub-id>, PMID: <pub-id pub-id-type="pmid">29449748</pub-id></citation></ref>
<ref id="ref42"><label>42.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cobo</surname> <given-names>MJ</given-names></name> <name><surname>L&#x00F3;pez-Herrera</surname> <given-names>AG</given-names></name> <name><surname>Herrera-Viedma</surname> <given-names>E</given-names></name> <name><surname>Herrera</surname> <given-names>F</given-names></name></person-group>. <article-title>An approach for detecting, quantifying, and visualizing the evolution of a research field: a practical application to the fuzzy sets theory field</article-title>. <source>J Informetr</source>. (<year>2011</year>) <volume>5</volume>:<fpage>146</fpage>&#x2013;<lpage>66</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.joi.2010.10.002</pub-id></citation></ref>
<ref id="ref43"><label>43.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bernatovi&#x0107;</surname> <given-names>I</given-names></name> <name><surname>Slavec Gomezel</surname> <given-names>A</given-names></name> <name><surname>&#x010C;erne</surname> <given-names>M</given-names></name></person-group>. <article-title>Mapping the knowledge-hiding field and its future prospects: a bibliometric co-citation, co-word, and coupling analysis</article-title>. <source>Knowl Manag Res Pract</source>. (<year>2021</year>) <volume>20</volume>:<fpage>394</fpage>&#x2013;<lpage>409</lpage>. doi: <pub-id pub-id-type="doi">10.1080/14778238.2021.1945963</pub-id></citation></ref>
<ref id="ref44"><label>44.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tan Luc</surname> <given-names>P</given-names></name> <name><surname>Xuan Lan</surname> <given-names>P</given-names></name> <name><surname>Nhat Hanh Le</surname> <given-names>A</given-names></name> <name><surname>Thanh</surname> <given-names>TB</given-names></name></person-group>. <article-title>A co-citation and co-word analysis of social entrepreneurship research</article-title>. <source>Soc Enterp J</source>. (<year>2020</year>) <volume>13</volume>:<fpage>324</fpage>&#x2013;<lpage>39</lpage>. doi: <pub-id pub-id-type="doi">10.1080/19420676.2020.1782971</pub-id></citation></ref>
<ref id="ref45"><label>45.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xie</surname> <given-names>P</given-names></name></person-group>. <article-title>Study of international anticancer research trends via co-word and document co-citation visualization analysis</article-title>. <source>Scientometrics</source>. (<year>2015</year>) <volume>105</volume>:<fpage>611</fpage>&#x2013;<lpage>22</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s11192-015-1689-0</pub-id></citation></ref>
<ref id="ref46"><label>46.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Singh</surname> <given-names>S</given-names></name> <name><surname>Dhir</surname> <given-names>S</given-names></name> <name><surname>Mukunda Das</surname> <given-names>V</given-names></name> <name><surname>Sharma</surname> <given-names>A</given-names></name></person-group>. <article-title>Bibliometric overview of the technological forecasting and social change journal: analysis from 1970 to 2018</article-title>. <source>Technol Forecast Soc Change</source>. (<year>2020</year>) <volume>154</volume>:<fpage>119963</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.techfore.2020.119963</pub-id></citation></ref>
<ref id="ref47"><label>47.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Azlan</surname> <given-names>AA</given-names></name> <name><surname>Hamzah</surname> <given-names>MR</given-names></name> <name><surname>Sern</surname> <given-names>TJ</given-names></name> <name><surname>Ayub</surname> <given-names>SH</given-names></name> <name><surname>Mohamad</surname> <given-names>E</given-names></name></person-group>. <article-title>Public knowledge, attitudes and practices towards COVID-19: a cross-sectional study in Malaysia</article-title>. <source>PLoS One</source>. (<year>2020</year>) <volume>15</volume>:<fpage>e0233668</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0233668</pub-id>, PMID: <pub-id pub-id-type="pmid">32437434</pub-id></citation></ref>
<ref id="ref48"><label>48.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>M</given-names></name> <name><surname>Zhou</surname> <given-names>M</given-names></name> <name><surname>Tang</surname> <given-names>F</given-names></name> <name><surname>Wang</surname> <given-names>Y</given-names></name> <name><surname>Nie</surname> <given-names>H</given-names></name> <name><surname>Zhang</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>Knowledge, attitude, and practice regarding COVID-19 among healthcare workers in Henan, China</article-title>. <source>J Hosp Infect</source>. (<year>2020</year>) <volume>105</volume>:<fpage>183</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jhin.2020.04.012</pub-id>, PMID: <pub-id pub-id-type="pmid">32278701</pub-id></citation></ref>
<ref id="ref49"><label>49.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Al-Hanawi</surname> <given-names>MK</given-names></name> <name><surname>Angawi</surname> <given-names>K</given-names></name> <name><surname>Alshareef</surname> <given-names>N</given-names></name> <name><surname>Qattan</surname> <given-names>AMN</given-names></name> <name><surname>Helmy</surname> <given-names>HZ</given-names></name> <name><surname>Abudawood</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>Knowledge, attitude and practice toward COVID-19 among the public in the Kingdom of Saudi Arabia: a cross-sectional study</article-title>. <source>Front Public Health</source>. (<year>2020</year>) <volume>8</volume>:<fpage>217</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpubh.2020.00217</pub-id></citation></ref>
<ref id="ref50"><label>50.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ferdous</surname> <given-names>MZ</given-names></name> <name><surname>Islam</surname> <given-names>MS</given-names></name> <name><surname>Sikder</surname> <given-names>MT</given-names></name> <name><surname>Mosaddek</surname> <given-names>ASM</given-names></name> <name><surname>Zegarra-Valdivia</surname> <given-names>JA</given-names></name> <name><surname>Gozal</surname> <given-names>D</given-names></name></person-group>. <article-title>Knowledge, attitude, and practice regarding COVID-19 outbreak in Bangladesh: an online-based cross-sectional study</article-title>. <source>PLoS One</source>. (<year>2020</year>) <volume>15</volume>:<fpage>e0239254</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0239254</pub-id>, PMID: <pub-id pub-id-type="pmid">33035219</pub-id></citation></ref>
<ref id="ref51"><label>51.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Reuben</surname> <given-names>RC</given-names></name> <name><surname>Danladi</surname> <given-names>MMA</given-names></name> <name><surname>Saleh</surname> <given-names>DA</given-names></name> <name><surname>Ejembi</surname> <given-names>PE</given-names></name></person-group>. <article-title>Knowledge, attitudes and practices towards COVID-19: an epidemiological survey in north-Central Nigeria</article-title>. <source>J Community Health</source>. (<year>2021</year>) <volume>46</volume>:<fpage>457</fpage>&#x2013;<lpage>70</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s10900-020-00881-1</pub-id>, PMID: <pub-id pub-id-type="pmid">32638198</pub-id></citation></ref>
<ref id="ref52"><label>52.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhong</surname> <given-names>BL</given-names></name> <name><surname>Luo</surname> <given-names>W</given-names></name> <name><surname>Li</surname> <given-names>HM</given-names></name> <name><surname>Zhang</surname> <given-names>QQ</given-names></name> <name><surname>Liu</surname> <given-names>XG</given-names></name> <name><surname>Li</surname> <given-names>WT</given-names></name> <etal/></person-group>. <article-title>Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey</article-title>. <source>Int J Biol Sci</source>. (<year>2020</year>) <volume>16</volume>:<fpage>1745</fpage>&#x2013;<lpage>52</lpage>. doi: <pub-id pub-id-type="doi">10.7150/ijbs.45221</pub-id>, PMID: <pub-id pub-id-type="pmid">32226294</pub-id></citation></ref>
<ref id="ref53"><label>53.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Saqlain</surname> <given-names>M</given-names></name> <name><surname>Munir</surname> <given-names>MM</given-names></name> <name><surname>Rehman</surname> <given-names>SU</given-names></name> <name><surname>Gulzar</surname> <given-names>A</given-names></name> <name><surname>Naz</surname> <given-names>S</given-names></name> <name><surname>Ahmed</surname> <given-names>Z</given-names></name> <etal/></person-group>. <article-title>Knowledge, attitude, practice and perceived barriers among healthcare workers regarding COVID-19: a cross-sectional survey from Pakistan</article-title>. <source>J Hosp Infect</source>. (<year>2020</year>) <volume>105</volume>:<fpage>419</fpage>&#x2013;<lpage>23</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jhin.2020.05.007</pub-id>, PMID: <pub-id pub-id-type="pmid">32437822</pub-id></citation></ref>
<ref id="ref54"><label>54.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Olum</surname> <given-names>R</given-names></name> <name><surname>Chekwech</surname> <given-names>G</given-names></name> <name><surname>Wekha</surname> <given-names>G</given-names></name> <name><surname>Nassozi</surname> <given-names>DR</given-names></name> <name><surname>Bongomin</surname> <given-names>F</given-names></name></person-group>. <article-title>Coronavirus Disease-2019: knowledge, attitude, and practices of health Care Workers at Makerere University Teaching Hospitals, Uganda</article-title>. <source>Front Public Health</source>. (<year>2020</year>) <volume>8</volume>:<fpage>181</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpubh.2020.00181</pub-id>, PMID: <pub-id pub-id-type="pmid">32426320</pub-id></citation></ref>
<ref id="ref55"><label>55.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Khader</surname> <given-names>Y</given-names></name> <name><surname>Al Nsour</surname> <given-names>M</given-names></name> <name><surname>Al-Batayneh</surname> <given-names>OB</given-names></name> <name><surname>Saadeh</surname> <given-names>R</given-names></name> <name><surname>Bashier</surname> <given-names>H</given-names></name> <name><surname>Alfaqih</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Dentists' awareness, perception, and attitude regarding COVID-19 and infection control: cross-sectional study among Jordanian dentists</article-title>. <source>JMIR Public Health Surveill</source>. (<year>2020</year>) <volume>6</volume>:<fpage>e18798</fpage>. doi: <pub-id pub-id-type="doi">10.2196/18798</pub-id>, PMID: <pub-id pub-id-type="pmid">32250959</pub-id></citation></ref>
<ref id="ref56"><label>56.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wolf</surname> <given-names>MS</given-names></name> <name><surname>Serper</surname> <given-names>M</given-names></name> <name><surname>Opsasnick</surname> <given-names>L</given-names></name> <name><surname>O'Conor</surname> <given-names>RM</given-names></name> <name><surname>Curtis</surname> <given-names>L</given-names></name> <name><surname>Benavente</surname> <given-names>JY</given-names></name> <etal/></person-group>. <article-title>Awareness, attitudes, and actions related to COVID-19 among adults with chronic conditions at the onset of the U.S. outbreak: a cross-sectional survey</article-title>. <source>Ann Intern Med</source>. (<year>2020</year>) <volume>173</volume>:<fpage>100</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.7326/M20-1239</pub-id></citation></ref>
<ref id="ref57"><label>57.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Thavorn</surname> <given-names>J</given-names></name> <name><surname>Gowanit</surname> <given-names>C</given-names></name> <name><surname>Muangsin</surname> <given-names>V</given-names></name> <name><surname>Muangsin</surname> <given-names>N</given-names></name></person-group>. <article-title>Collaboration network and trends of global coronavirus disease research: a scientometric analysis</article-title>. <source>IEEE Access</source>. (<year>2021</year>) <volume>9</volume>:<fpage>45001</fpage>&#x2013;<lpage>16</lpage>. doi: <pub-id pub-id-type="doi">10.1109/ACCESS.2021.3066450</pub-id></citation></ref>
<ref id="ref58"><label>58.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Malekpour</surname> <given-names>MR</given-names></name> <name><surname>Abbasi-Kangevari</surname> <given-names>M</given-names></name> <name><surname>Azadnajafabad</surname> <given-names>S</given-names></name> <name><surname>Ghamari</surname> <given-names>SH</given-names></name> <name><surname>Rezaei</surname> <given-names>N</given-names></name> <name><surname>Rezazadeh-Khadem</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>How the scientific community responded to the COVID-19 pandemic: a subject-level time-trend bibliometric analysis</article-title>. <source>PLoS One</source>. (<year>2021</year>) <volume>16</volume>:<fpage>e0258064</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0258064</pub-id></citation></ref>
<ref id="ref59"><label>59.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>Y</given-names></name> <name><surname>Cheng</surname> <given-names>L</given-names></name> <name><surname>Lian</surname> <given-names>R</given-names></name> <name><surname>Song</surname> <given-names>Z</given-names></name> <name><surname>Tian</surname> <given-names>J</given-names></name></person-group>. <article-title>COVID-19 vaccine research focusses on safety, efficacy, immunoinformatics, and vaccine production and delivery: a bibliometric analysis based on VOSviewer</article-title>. <source>Biosci Trends</source>. (<year>2021</year>) <volume>15</volume>:<fpage>64</fpage>&#x2013;<lpage>73</lpage>. doi: <pub-id pub-id-type="doi">10.5582/bst.2021.01061</pub-id>, PMID: <pub-id pub-id-type="pmid">33746182</pub-id></citation></ref>
<ref id="ref60"><label>60.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>Q</given-names></name> <name><surname>Su</surname> <given-names>M</given-names></name> <name><surname>Zhang</surname> <given-names>M</given-names></name> <name><surname>Li</surname> <given-names>R</given-names></name></person-group>. <article-title>Integrating digital technologies and public health to fight Covid-19 pandemic: key technologies, applications, challenges and outlook of digital healthcare</article-title>. <source>Int J Environ Res Public Health</source>. (<year>2021</year>) <volume>18</volume>:<fpage>6053</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijerph18116053</pub-id>, PMID: <pub-id pub-id-type="pmid">34199831</pub-id></citation></ref>
<ref id="ref61"><label>61.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>F</given-names></name> <name><surname>Zhang</surname> <given-names>Y</given-names></name> <name><surname>Yu</surname> <given-names>Y</given-names></name> <name><surname>Lu</surname> <given-names>W</given-names></name> <name><surname>Zhang</surname> <given-names>H</given-names></name></person-group>. <article-title>Bibliometric analysis of the top-50 cited articles on COVID-19 and physical activity</article-title>. <source>Front Public Health</source>. (<year>2022</year>) <volume>10</volume>:<fpage>926244</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpubh.2022.926244</pub-id>, PMID: <pub-id pub-id-type="pmid">36159319</pub-id></citation></ref>
<ref id="ref62"><label>62.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lagaa</surname> <given-names>MBA</given-names></name> <name><surname>Alhoot</surname> <given-names>MA</given-names></name> <name><surname>Baobaid</surname> <given-names>MF</given-names></name></person-group>. <article-title>Knowledge, attitude, perception and psychological status of healthcare workers during COVID-19 outbreak in Libya: a cross sectional study</article-title>. <source>J Pure Appl Microbiol</source>. (<year>2022</year>) <volume>16</volume>:<fpage>1370</fpage>&#x2013;<lpage>83</lpage>. doi: <pub-id pub-id-type="doi">10.22207/JPAM.16.2.65</pub-id></citation></ref>
<ref id="ref63"><label>63.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Al Rawahi</surname> <given-names>MSH</given-names></name> <name><surname>Muthukrishnan</surname> <given-names>A</given-names></name> <name><surname>Tayyib</surname> <given-names>NA</given-names></name> <name><surname>Lathamangeswari</surname> <given-names>C</given-names></name> <name><surname>Pandurangan</surname> <given-names>H</given-names></name> <name><surname>Naveena</surname> <given-names>JH</given-names></name> <etal/></person-group>. <article-title>Infection control behavior factors to prevent COVID-19 among nursing students: cross-sectional online survey</article-title>. <source>ASEAN J Psychiatry</source>. (<year>2022</year>). <volume>23</volume>:<fpage>1</fpage>&#x2013;<lpage>16</lpage>. doi: <pub-id pub-id-type="doi">10.54615/2231-7805.4736</pub-id></citation></ref>
<ref id="ref64"><label>64.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Andualem</surname> <given-names>A</given-names></name> <name><surname>Tegegne</surname> <given-names>B</given-names></name> <name><surname>Ademe</surname> <given-names>S</given-names></name> <name><surname>Natnael</surname> <given-names>T</given-names></name> <name><surname>Berihun</surname> <given-names>G</given-names></name> <name><surname>Abebe</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>COVID-19 infection prevention practices among a sample of food handlers of food and drink establishments in Ethiopia</article-title>. <source>PLoS One</source>. (<year>2022</year>) <volume>17</volume>:<fpage>e0259851</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0259851</pub-id></citation></ref>
<ref id="ref65"><label>65.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Feleke</surname> <given-names>A</given-names></name> <name><surname>Adane</surname> <given-names>M</given-names></name> <name><surname>Embrandiri</surname> <given-names>A</given-names></name> <name><surname>Berihun</surname> <given-names>G</given-names></name> <name><surname>Walle</surname> <given-names>Z</given-names></name> <name><surname>Keleb</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Knowledge, attitudes, and misconceptions about COVID-19 prevention practices among high and preparatory school students in Dessie city, Ethiopia</article-title>. <source>J Multidiscip Healthc</source>. (<year>2022</year>) <volume>15</volume>:<fpage>1035</fpage>&#x2013;<lpage>55</lpage>. doi: <pub-id pub-id-type="doi">10.2147/JMDH.S325636</pub-id>, PMID: <pub-id pub-id-type="pmid">35586079</pub-id></citation></ref>
<ref id="ref66"><label>66.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Belete</surname> <given-names>ZW</given-names></name> <name><surname>Berihun</surname> <given-names>G</given-names></name> <name><surname>Keleb</surname> <given-names>A</given-names></name> <name><surname>Ademas</surname> <given-names>A</given-names></name> <name><surname>Berhanu</surname> <given-names>L</given-names></name> <name><surname>Abebe</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Knowledge, attitude, and preventive practices towards COVID-19 and associated factors among adult hospital visitors in South Gondar zone hospitals, Northwest E thiopia</article-title>. <source>PLoS One</source>. (<year>2021</year>) <volume>16</volume>:<fpage>e0250145</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0250145</pub-id>, PMID: <pub-id pub-id-type="pmid">33999925</pub-id></citation></ref>
<ref id="ref67"><label>67.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Berihun</surname> <given-names>G</given-names></name> <name><surname>Walle</surname> <given-names>Z</given-names></name> <name><surname>Teshome</surname> <given-names>D</given-names></name> <name><surname>Berhanu</surname> <given-names>L</given-names></name> <name><surname>Abebe</surname> <given-names>M</given-names></name> <name><surname>Ademas</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Knowledge, attitude, and preventive practices towards COVID-19 among students of Ethiopian higher education institutions</article-title>. <source>J Multidiscip Healthc</source>. (<year>2021</year>) <volume>14</volume>:<fpage>2123</fpage>&#x2013;<lpage>36</lpage>. doi: <pub-id pub-id-type="doi">10.2147/JMDH.S322495</pub-id>, PMID: <pub-id pub-id-type="pmid">34408427</pub-id></citation></ref>
<ref id="ref68"><label>68.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Berhanu</surname> <given-names>L</given-names></name> <name><surname>Berihun</surname> <given-names>G</given-names></name> <name><surname>Walle</surname> <given-names>Z</given-names></name> <name><surname>Teshome</surname> <given-names>D</given-names></name> <name><surname>Gizeyatu</surname> <given-names>A</given-names></name> <name><surname>Abebe</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>COVID-19 prevention practices and associated factors among farmers in peri-urban areas of northeastern Ethiopia</article-title>. <source>J Multidiscip Healthc</source>. (<year>2021</year>) <volume>14</volume>:<fpage>1843</fpage>&#x2013;<lpage>52</lpage>. doi: <pub-id pub-id-type="doi">10.2147/JMDH.S321456</pub-id>, PMID: <pub-id pub-id-type="pmid">34285502</pub-id></citation></ref>
<ref id="ref69"><label>69.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Walle</surname> <given-names>Z</given-names></name> <name><surname>Berihun</surname> <given-names>G</given-names></name> <name><surname>Keleb</surname> <given-names>A</given-names></name> <name><surname>Teshome</surname> <given-names>D</given-names></name> <name><surname>Berhanu</surname> <given-names>L</given-names></name></person-group>. <article-title>COVID-19 prevention practices and determinant factors among healthcare professionals working in hospitals of South Gondar zone, northwestern Ethiopia</article-title>. <source>J Multidiscip Healthc</source>. (<year>2021</year>) <volume>14</volume>:<fpage>2287</fpage>&#x2013;<lpage>98</lpage>. doi: <pub-id pub-id-type="doi">10.2147/JMDH.S325127</pub-id>, PMID: <pub-id pub-id-type="pmid">34456571</pub-id></citation></ref>
<ref id="ref70"><label>70.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Giannos</surname> <given-names>P</given-names></name> <name><surname>Kechagias</surname> <given-names>KS</given-names></name> <name><surname>Katsikas Triantafyllidis</surname> <given-names>K</given-names></name> <name><surname>Falagas</surname> <given-names>ME</given-names></name></person-group>. <article-title>Spotlight on early COVID-19 research productivity: a 1-year bibliometric analysis</article-title>. <source>Front Public Health</source>. (<year>2022</year>) <volume>10</volume>:<fpage>811885</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpubh.2022.811885</pub-id>, PMID: <pub-id pub-id-type="pmid">35712290</pub-id></citation></ref>
<ref id="ref71"><label>71.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yun</surname> <given-names>SH</given-names></name> <name><surname>Park</surname> <given-names>BG</given-names></name> <name><surname>Jung</surname> <given-names>EY</given-names></name> <name><surname>Kwon</surname> <given-names>JY</given-names></name> <name><surname>Park</surname> <given-names>YK</given-names></name> <name><surname>Kim</surname> <given-names>HJ</given-names></name></person-group>. <article-title>Factors affecting the practice of Corona virus disease-19 prevention activities in patients with heart diseases in Korea</article-title>. <source>Clin Nurs Res</source>. (<year>2022</year>) <volume>31</volume>:<fpage>713</fpage>&#x2013;<lpage>23</lpage>. doi: <pub-id pub-id-type="doi">10.1177/10547738211068140</pub-id>, PMID: <pub-id pub-id-type="pmid">35164575</pub-id></citation></ref>
<ref id="ref72"><label>72.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Geleta</surname> <given-names>TA</given-names></name> <name><surname>Deriba</surname> <given-names>BS</given-names></name> <name><surname>Jemal</surname> <given-names>K</given-names></name></person-group>. <article-title>Evaluation of the knowledge, attitude, and practice of COVID-19 prevention methods among hypertensive patients in north Shoa, Ethiopia</article-title>. <source>Risk Manag Healthc Policy</source>. (<year>2022</year>) <volume>15</volume>:<fpage>457</fpage>&#x2013;<lpage>71</lpage>. doi: <pub-id pub-id-type="doi">10.2147/RMHP.S347105</pub-id>, PMID: <pub-id pub-id-type="pmid">35300276</pub-id></citation></ref>
<ref id="ref73"><label>73.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ye&#x015F;il&#x00E7;inar</surname> <given-names>&#x0130;</given-names></name> <name><surname>G&#x00FC;ven&#x00E7;</surname> <given-names>G</given-names></name> <name><surname>Kinci</surname> <given-names>MF</given-names></name> <name><surname>Bekta&#x015F; Pardes</surname> <given-names>B</given-names></name> <name><surname>K&#x00F6;k</surname> <given-names>G</given-names></name> <name><surname>Sivaslio&#x011F;lu</surname> <given-names>AA</given-names></name></person-group>. <article-title>Knowledge, fear, and anxiety levels among pregnant women during the COVID-19 pandemic: a cross-sectional study</article-title>. <source>Clin Nurs Res</source>. (<year>2022</year>) <volume>31</volume>:<fpage>758</fpage>&#x2013;<lpage>65</lpage>. doi: <pub-id pub-id-type="doi">10.1177/10547738221085662</pub-id>, PMID: <pub-id pub-id-type="pmid">35369767</pub-id></citation></ref>
<ref id="ref74"><label>74.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kunno</surname> <given-names>J</given-names></name> <name><surname>Yubonpunt</surname> <given-names>P</given-names></name> <name><surname>Supawattanabodee</surname> <given-names>B</given-names></name> <name><surname>Sumanasrethakul</surname> <given-names>C</given-names></name> <name><surname>Wiriyasirivaj</surname> <given-names>B</given-names></name></person-group>. <article-title>Knowledge, attitudes, and practices related to the COVID-19 pandemic among pregnant women in Bangkok, Thailand</article-title>. <source>BMC Pregnancy Childbirth</source>. (<year>2022</year>) <volume>22</volume>:<fpage>357</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12884-022-04612-3</pub-id>, PMID: <pub-id pub-id-type="pmid">35461236</pub-id></citation></ref>
<ref id="ref75"><label>75.</label><citation citation-type="other"><person-group person-group-type="author"><collab id="coll6">Office for National Statistics</collab></person-group>. Which Occupations Have the Highest Potential Exposure to the Coronavirus (COVID-19)? (<year>2021</year>). <comment>Available at: </comment><ext-link xlink:href="https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/whichoccupationshavethehighestpotentialexposuretothecoronaviruscovid19/2020-05-11" ext-link-type="uri">https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/which occupations have the highest potential exposure to the corona virus covid19/2020-05-11</ext-link> (Accessed October 10, 2022).</citation></ref>
<ref id="ref76"><label>76.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ayat</surname> <given-names>Z</given-names></name> <name><surname>Sami</surname> <given-names>AH</given-names></name></person-group>. <article-title>Infection prevention and control practices among primary healthcare nurses regarding COVID-19 in Saudi Arabia: a cross-sectional study</article-title>. <source>Ann Med Surg (Lond)</source>. (<year>2022</year>) <volume>77</volume>:<fpage>103298</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.amsu.2022.103298</pub-id>, PMID: <pub-id pub-id-type="pmid">35222996</pub-id></citation></ref>
<ref id="ref77"><label>77.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Malandkar</surname> <given-names>V</given-names></name> <name><surname>Choudhari</surname> <given-names>S</given-names></name> <name><surname>Kalra</surname> <given-names>D</given-names></name> <name><surname>Banga</surname> <given-names>P</given-names></name></person-group>. <article-title>Knowledge, attitude and practice among dental practitioners with regard to overcoming the barriers created by personal protective equipment in the COVID-19 era and delivering effective dental treatment: a questionnaire-based cross-sectional study</article-title>. <source>Dent Med Probl</source>. (<year>2022</year>) <volume>59</volume>:<fpage>27</fpage>&#x2013;<lpage>36</lpage>. doi: <pub-id pub-id-type="doi">10.17219/dmp/142357</pub-id>, PMID: <pub-id pub-id-type="pmid">35179833</pub-id></citation></ref>
<ref id="ref78"><label>78.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Roca</surname> <given-names>J</given-names></name> <name><surname>Canet-V&#x00E9;lez</surname> <given-names>O</given-names></name> <name><surname>Cemeli</surname> <given-names>T</given-names></name> <name><surname>Laved&#x00E1;n</surname> <given-names>A</given-names></name> <name><surname>Masot</surname> <given-names>O</given-names></name> <name><surname>Botigu&#x00E9;</surname> <given-names>T</given-names></name></person-group>. <article-title>Experiences, emotional responses, and coping skills of nursing students as auxiliary health workers during the peak COVID-19 pandemic: a qualitative study</article-title>. <source>Int J Ment Health Nurs</source>. (<year>2021</year>) <volume>30</volume>:<fpage>1080</fpage>&#x2013;<lpage>92</lpage>. doi: <pub-id pub-id-type="doi">10.1111/inm.12858</pub-id>, PMID: <pub-id pub-id-type="pmid">33792160</pub-id></citation></ref>
<ref id="ref79"><label>79.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Patwary</surname> <given-names>MM</given-names></name> <name><surname>Disha</surname> <given-names>AS</given-names></name> <name><surname>Bardhan</surname> <given-names>M</given-names></name> <name><surname>Haque</surname> <given-names>MZ</given-names></name> <name><surname>Kabir</surname> <given-names>MP</given-names></name> <name><surname>Billah</surname> <given-names>SM</given-names></name> <etal/></person-group>. <article-title>Knowledge, attitudes, and practices toward coronavirus and associated anxiety symptoms among university students: a cross-sectional study during the early stages of the COVID-19 pandemic in Bangladesh</article-title>. <source>Front Psych</source>. (<year>2022</year>) <volume>13</volume>:<fpage>856202</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpsyt.2022.856202</pub-id>, PMID: <pub-id pub-id-type="pmid">35432019</pub-id></citation></ref>
<ref id="ref80"><label>80.</label><citation citation-type="other"><person-group person-group-type="author"><collab id="coll7">World Health Organization</collab></person-group>. COVID-19 Transmission and Protective Measures; (<year>2022</year>). <comment>Available at: </comment><ext-link xlink:href="https://www.who.int/westernpacific/emergencies/covid-19/information/transmission-protective-measures" ext-link-type="uri">https://www.who.int/westernpacific/emergencies/covid-19/information/transmission-protective-measures</ext-link> (Accessed October 10, 2022).</citation></ref>
<ref id="ref81"><label>81.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rahman Zuthi</surname> <given-names>MF</given-names></name> <name><surname>Hossen</surname> <given-names>MA</given-names></name> <name><surname>Pal</surname> <given-names>SK</given-names></name> <name><surname>Mazumder</surname> <given-names>MH</given-names></name> <name><surname>Hasan</surname> <given-names>SMF</given-names></name> <name><surname>Hoque</surname> <given-names>MM</given-names></name></person-group>. <article-title>Evaluating knowledge, awareness and associated water usage towards hand hygiene practices influenced by the current COVID-19 pandemic in Bangladesh</article-title>. <source>Groundw Sustain Dev</source>. (<year>2022</year>) <volume>19</volume>:<fpage>100848</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.gsd.2022.100848</pub-id></citation></ref>
<ref id="ref82"><label>82.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xie</surname> <given-names>T</given-names></name> <name><surname>Tang</surname> <given-names>M</given-names></name> <name><surname>Zhang</surname> <given-names>RJ</given-names></name> <name><surname>Liu</surname> <given-names>JH</given-names></name></person-group>. <article-title>The active role of the internet and social media use in nonpharmaceutical and pharmaceutical preventive measures against COVID-19</article-title>. <source>Healthcare (Basel)</source>. (<year>2022</year>) <volume>10</volume>:<fpage>113</fpage>. doi: <pub-id pub-id-type="doi">10.3390/healthcare10010113</pub-id>, PMID: <pub-id pub-id-type="pmid">35052277</pub-id></citation></ref>
<ref id="ref83"><label>83.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>van Leeuwen</surname> <given-names>T</given-names></name></person-group>. <article-title>The application of bibliometric analyses in the evaluation of social science research. Who benefits from it, and why it is still feasible</article-title>. <source>Scientometrics</source>. (<year>2006</year>) <volume>66</volume>:<fpage>133</fpage>&#x2013;<lpage>54</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s11192-006-0010-7</pub-id></citation></ref>
<ref id="ref84"><label>84.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Clegg</surname> <given-names>A</given-names></name> <name><surname>Young</surname> <given-names>J</given-names></name> <name><surname>Iliffe</surname> <given-names>S</given-names></name> <name><surname>Rikkert</surname> <given-names>MO</given-names></name> <name><surname>Rockwood</surname> <given-names>K</given-names></name></person-group>. <article-title>Frailty in elderly people</article-title>. <source>Lancet</source>. (<year>2013</year>) <volume>381</volume>:<fpage>752</fpage>&#x2013;<lpage>62</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S0140-6736(12)62167-9</pub-id></citation></ref>
</ref-list>
</back>
</article>