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<?covid-19-tdm?>
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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JPH</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Public Health Surveill</journal-id>
      <journal-title>JMIR Public Health and Surveillance</journal-title>
      <issn pub-type="epub">2369-2960</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v9i1e44051</article-id>
      <article-id pub-id-type="pmid">37058578</article-id>
      <article-id pub-id-type="doi">10.2196/44051</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Review</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Review</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Knowledge and Practice of Personal Protective Measures Against COVID-19 in Africa: Systematic Review</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Mavragani</surname>
            <given-names>Amaryllis</given-names>
          </name>
        </contrib>
        <contrib contrib-type="editor">
          <name>
            <surname>Sanchez</surname>
            <given-names>Travis</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Fuertes-Bucheli</surname>
            <given-names>Jose Fernando</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Telles</surname>
            <given-names>Charles Roberto</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author">
          <name name-style="western">
            <surname>Kawuki</surname>
            <given-names>Joseph</given-names>
          </name>
          <degrees>MPH</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-2440-1111</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author">
          <name name-style="western">
            <surname>Chan</surname>
            <given-names>Paul Shing-fong</given-names>
          </name>
          <degrees>MEd</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-6916-4957</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Fang</surname>
            <given-names>Yuan</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-1154-5076</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Chen</surname>
            <given-names>Siyu</given-names>
          </name>
          <degrees>MPH</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-6271-1858</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author">
          <name name-style="western">
            <surname>Mo</surname>
            <given-names>Phoenix K H</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-9822-5424</ext-link>
        </contrib>
        <contrib id="contrib6" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Wang</surname>
            <given-names>Zixin</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>Centre for Health Behaviours Research</institution>
            <institution>Jockey Club School of Public Health and Primary Care</institution>
            <institution>The Chinese University of Hong Kong</institution>
            <addr-line>Room 508, School of Public Health, Prince of Wales Hospital</addr-line>
            <addr-line>Shatin, NT</addr-line>
            <country>China (Hong Kong)</country>
            <phone>852 22528740</phone>
            <email>wangzx@cuhk.edu.hk</email>
          </address>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-1158-2304</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Centre for Health Behaviours Research</institution>
        <institution>Jockey Club School of Public Health and Primary Care</institution>
        <institution>The Chinese University of Hong Kong</institution>
        <addr-line>Shatin, NT</addr-line>
        <country>China (Hong Kong)</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Department of Health and Physical Education</institution>
        <institution>the Education University of Hong Kong</institution>
        <addr-line>New Territories</addr-line>
        <country>China (Hong Kong)</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Zixin Wang <email>wangzx@cuhk.edu.hk</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2023</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>16</day>
        <month>5</month>
        <year>2023</year>
      </pub-date>
      <volume>9</volume>
      <elocation-id>e44051</elocation-id>
      <history>
        <date date-type="received">
          <day>4</day>
          <month>11</month>
          <year>2022</year>
        </date>
        <date date-type="rev-request">
          <day>16</day>
          <month>3</month>
          <year>2023</year>
        </date>
        <date date-type="rev-recd">
          <day>29</day>
          <month>3</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>10</day>
          <month>4</month>
          <year>2023</year>
        </date>
      </history>
      <copyright-statement>©Joseph Kawuki, Paul Shing-fong Chan, Yuan Fang, Siyu Chen, Phoenix K H Mo, Zixin Wang. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 16.05.2023.</copyright-statement>
      <copyright-year>2023</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://publichealth.jmir.org/2023/1/e44051" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>With COVID-19 being a newly evolving disease, its response measures largely depend on the practice of and compliance with personal protective measures (PPMs).</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>This systematic review aimed to examine the knowledge and practice of COVID-19 PPMs in African countries as documented in the published literature.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>A systematic search was conducted on the Scopus, PubMed, and Web of Science databases using appropriate keywords and predefined eligibility criteria for the selection of relevant studies. Only population-based original research studies (including qualitative, quantitative, and mixed methods studies) conducted in Africa and published in the English language were included. The screening process and data extraction were performed according to a preregistered protocol in PROSPERO (CRD42022355101) and followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The quality of the included studies was assessed using the Mixed Methods Appraisal Tool. Thematic analysis was used to systematically summarize the studies into 4 predefined domains: knowledge and perception of PPMs, mask use, social and physical distancing, and handwashing and hand hygiene, including their respective levels and associated factors.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>A total of 58 studies across 12 African countries were included, published between 2019 and 2022. African communities, including various population groups, had varying levels of knowledge and practice of COVID-19 PPMs, with the lack of personal protective equipment (mainly face masks) and side effects (among health care workers) being the major reasons for poor compliance. Lower rates of handwashing and hand hygiene were particularly noted in several African countries, especially among low-income urban and slum dwellers, with the main barrier being the lack of safe and clean water. Various cognitive (knowledge and perception), sociodemographic, and economic factors were associated with the practice of COVID-19 PPMs. Moreover, there were evident research inequalities at the regional level, with East Africa contributing 36% (21/58) of the studies, West Africa contributing 21% (12/58), North Africa contributing 17% (10/58), Southern Africa contributing 7% (4/58), and no single-country study from Central Africa. Nonetheless, the overall quality of the included studies was generally good as they satisfied most of the quality assessment criteria.</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>There is a need to enhance local capacity to produce and supply personal protective equipment. Consideration of various cognitive, demographic, and socioeconomic differences, with extra focus on the most vulnerable, is crucial for inclusive and more effective strategies against the pandemic. Moreover, more focus and involvement in community behavioral research are needed to fully understand and address the dynamics of the current pandemic in Africa.</p>
        </sec>
        <sec sec-type="Trial Registration">
          <title>Trial Registration</title>
          <p>PROSPERO International Prospective Register of Systematic Reviews CRD42022355101; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022355101</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>personal protective measures</kwd>
        <kwd>mask use</kwd>
        <kwd>social distancing</kwd>
        <kwd>hand hygiene</kwd>
        <kwd>COVID-19</kwd>
        <kwd>Africa</kwd>
        <kwd>nonpharmaceutical interventions</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <sec>
        <title>Background</title>
        <p>After its emergence in December 2019, COVID-19 was declared a pandemic by the World Health Organization on March 11, 2020, and it has spread to almost all countries and regions, including Africa [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref2">2</xref>]. Spreading to the continent through travelers returning from hot spots in Asia, Europe, and the United States, COVID-19 was first recorded in Africa in Egypt on February 14, 2020, and within a few months, the virus had spread throughout the continent [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref3">3</xref>]. As of March 20, 2023, a total of 12,804,191 cumulative cases and 258,623 deaths have been reported in Africa compared with 682,546,389 cases and 6,819,835 deaths across the globe, showing a disproportionately low case fatality rate of COVID-19 in Africa [<xref ref-type="bibr" rid="ref4">4</xref>].</p>
        <p>As in the rest of the world, various response measures were implemented in different African countries to curb the spread of the virus, including statewide lockdowns, restrictions on movement, bans on social gatherings, and school closures [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref6">6</xref>]. Although the continent appears to have a lower absolute number of cases and deaths compared with other regions [<xref ref-type="bibr" rid="ref7">7</xref>], which might also be related to the lower number of tests administered, the pandemic has had a deep impact on the socioeconomic systems of African countries [<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref9">9</xref>]. The pandemic has also strained the weak and fragmented health systems, as shown by the lack of personal protective equipment (PPE), testing kits, and other treatment necessities, especially for patients with COVID-19 who are critically ill [<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref8">8</xref>].</p>
        <p>With COVID-19 being a newly evolving disease, its less-defined outcomes and unprecedented prevention, treatment, and control modes largely require indisputable collaboration among various stakeholders in the community [<xref ref-type="bibr" rid="ref9">9</xref>]. Nonpharmaceutical interventions play an important role in the control and prevention of pandemics, including the COVID-19 pandemic, especially in its early phase and wave. Despite the availability of approved vaccines against COVID-19, response measures toward this pandemic still largely depend on the practice of and compliance with personal protective measures (PPMs), including face mask use, social and physical distancing, and hand hygiene [<xref ref-type="bibr" rid="ref10">10</xref>]. Moreover, knowledge and perceptions of PPMs have been reported as among the key determinants of practice and compliance with PPMs against COVID-19 as they influence people’s behavior [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref11">11</xref>]. These were also considered in this study in the African context.</p>
        <p>The pandemic has had a broad range of impacts and challenges across regions, and different communities have responded differently. However, given the diversity of social systems across regions and countries, preparedness and the search for a country- or region-specific practical solution to the pandemic require a better understanding of the challenges of practicing PPMs and hard-learned experiences through comprehensive research [<xref ref-type="bibr" rid="ref9">9</xref>]. There has been a high research output documenting COVID-19 characteristics, clinical outcomes, response, and impact throughout the world but with much less research coming from African countries [<xref ref-type="bibr" rid="ref12">12</xref>,<xref ref-type="bibr" rid="ref13">13</xref>]. The unavailability of research information might be seen as a barrier to successful prevention and further as a sign of inequity between high- and low-income countries and regions [<xref ref-type="bibr" rid="ref14">14</xref>]. This scant literature poses knowledge gaps on how African countries are responding to the pandemic in terms of PPMs. Nonetheless, a recent review by Nwagbara et al [<xref ref-type="bibr" rid="ref15">15</xref>] reported that most communities in sub-Saharan Africa had a positive attitude toward and good practices regarding COVID-19. Notably, this review considered studies only from sub-Saharan Africa and those conducted in the first stages of the pandemic, so it lacked insights into the overall practice of PPMs in Africa.</p>
      </sec>
      <sec>
        <title>Objectives</title>
        <p>Thus, this systematic review aimed to examine COVID-19 PPM research from African countries as documented in the published literature. On the basis of specific keywords, the review looked at the levels and associated factors of (1) knowledge and perception of PPMs and (2) practice of COVID-19 PPMs in various populations (including face mask use, physical and social distancing, and handwashing and hand hygiene).</p>
      </sec>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Study Design</title>
        <p>This systematic review was conducted according to a preregistered protocol in PROSPERO (CRD42022355101) and the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines (<xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>) [<xref ref-type="bibr" rid="ref16">16</xref>]. This systematic review considered literature concerning PPMs from African countries. Literature was sourced from the following databases: Scopus, PubMed, and Web of Science. These databases were considered as they sufficiently cover most of the key journals, including most African journals. In addition, 2 of these databases (Scopus and Web of Science) could refine the search based on countries and regions, unlike other databases, which enabled us to specifically assess publications from African countries only.</p>
      </sec>
      <sec>
        <title>Search Strategy</title>
        <p>We conducted a comprehensive search using a set of appropriate keywords and Medical Subject Heading terms to identify studies reporting on PPMs. For consistency and precision, similar keywords and Medical Subject Heading terms were used and searched for in the article titles across the databases. A comprehensive search of the published literature was performed in each of the 3 selected databases using combinations of key terms and Boolean operators (<xref ref-type="boxed-text" rid="box1">Textbox 1</xref>). These included “mask,” “nose covering,” “personal protective equipment,” “handwashing,” “hand washing,” “hand sanitizer,” “hand sanitiser,” “sanitation,” “hygiene,” “social distance,” “social distancing,” “physical distance,” “physical distancing,” “social acceptance,” “COVID-19,” “2019-nCoV,” “coronavirus disease,” “SARS-CoV-2,” and “corona virus disease 2019.”</p>
        <boxed-text id="box1" position="float">
          <title>Key terms or Boolean operators used for the search.</title>
          <list list-type="bullet">
            <list-item>
              <p>“Mask” OR “nose covering” OR “personal protective equipment” OR “handwashing” OR “hand washing” OR “hand sanitizer” OR “hand sanitiser” OR “sanitation” OR “hygiene” OR “social distance” OR “social distancing” OR “physical distance” OR “physical distancing” OR “social acceptance” AND “COVID-19” OR “2019-nCoV” OR “coronavirus disease” OR “SARS-CoV-2” OR “corona virus disease 2019”</p>
            </list-item>
            <list-item>
              <p>“Mask” OR “nose covering” OR “personal protective*” OR “hand wash*” OR “hand-wash*” OR “hand sanitize*” OR “hand sanitise*” OR “sanitation*” OR “hygiene*” OR “social distance*” OR “physical distance*” OR “social accept*” OR “social acceptance” AND “COVID-19” OR “COVID*”</p>
            </list-item>
            <list-item>
              <p>“Mask” OR “nose covering” OR “personal protective*” OR “hand wash*” OR “hand-wash*” OR “hand sanitize*” OR “hand sanitise*” OR “sanitation*” OR “hygiene*” OR “social distance*” OR “physical distance*” OR “social accept*” OR “social acceptance” AND “coronavirus*” OR “corona*”</p>
            </list-item>
            <list-item>
              <p>“Mask” OR “nose covering” OR “personal protective*” OR “hand wash*” OR “hand sanitize*” OR “hand sanitise*” OR “sanitation*” OR “hygiene*” OR “social distance*” OR “physical distance*” OR “social accept*” OR “social acceptance” AND “SARS-CoV-2*” OR “2019-nCoV*”</p>
            </list-item>
          </list>
        </boxed-text>
      </sec>
      <sec>
        <title>Inclusion and Exclusion Criteria</title>
        <p>The inclusion and exclusion criteria are listed in <xref ref-type="table" rid="table1">Table 1</xref>. Only population-based original research studies (including qualitative, quantitative, and mixed methods studies) conducted in Africa, published in English, and reporting on PPMs against COVID-19 were considered in the full review. In addition, multicountry studies were considered if they included an African country as part of their study population. Only English-language articles published between November 1, 2019, and March 4, 2022, were considered.</p>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Summary of the inclusion and exclusion criteria.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="140"/>
            <col width="350"/>
            <col width="510"/>
            <thead>
              <tr valign="top">
                <td>Parameter</td>
                <td>Inclusion criteria</td>
                <td>Exclusion criteria</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>Article or study type</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Population-based original research studies</p>
                    </list-item>
                    <list-item>
                      <p>Qualitative, quantitative, and mixed methods studies</p>
                    </list-item>
                    <list-item>
                      <p>Multicountry studies</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Reviews, commentaries, and editorials</p>
                    </list-item>
                    <list-item>
                      <p>Dissertations, government reports, newspaper articles, textbooks, book chapters, and protocols</p>
                    </list-item>
                    <list-item>
                      <p>Gray literature and preprints</p>
                    </list-item>
                    <list-item>
                      <p>Laboratory studies, model and framework studies, and validation studies</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Language</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>English language</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>All other non-English languages</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Publication period</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>November 1, 2019, to March 4, 2022</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>All periods outside November 2019 to March 2022</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Study setting</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>African countries</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>All non-African country settings</p>
                    </list-item>
                  </list>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Data Extraction</title>
        <p>After screening, data from the relevant studies were independently extracted by 2 reviewers (JK and PSC) onto a structured data extraction template, and a consensus was reached through discussion in case of disagreements on the extracted data. The following variables were extracted: first author, year of publication, study location, study design, key measurements, study population, sample size. and main findings.</p>
      </sec>
      <sec>
        <title>Quality Assessment and Analysis</title>
        <p>We assessed the information from the included articles using the Mixed Methods Appraisal Tool (version 2018) with detailed descriptions of the rating [<xref ref-type="bibr" rid="ref17">17</xref>]. In total, 2 reviewers also independently assessed the quality of the included studies, and in case of discrepancies, a consensus was reached through discussion.</p>
        <p>This study used thematic analysis, and the literature in this review was used to understand the practice of PPMs against COVID-19 in African countries. The studies were classified according to four main themes: (1) knowledge and perception of PPMs, (2) mask use, (3) social and physical distancing, and (4) handwashing and hand hygiene, including their respective levels or prevalence and associated factors. In addition, various population groups and challenges faced in practicing COVID-19 PPMs were examined under each of the main themes based on the available information in the analyzed studies. The 4 themes were drafted by a panel of public health experts after a series of discussions to reach a consensus.</p>
        <p>The analysis process involved a six-step data synthesis process: (1) in total, 2 reviewers (JK and PSC) extracted relevant information on knowledge and practice of PPMs from each article independently; (2) after extraction, they discussed to reach a consensus on the key information identified in each article; (3) the extracted information was coded under the 4 predefined domains by the 2 reviewers independently; (4) after completing the coding independently, they discussed the results, where any discrepancies were resolved through discussion; (5) the revised coding results were read and checked by the 2 reviewers independently to ensure that all the extracted information was mapped to the 4 domains correctly; and (6) all the information in the codebook was adapted into a tabular format.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Selection of Studies Conducted in Africa</title>
        <p>The number of studies identified, reviewed, and selected, including the reasons for exclusion, is summarized in <xref rid="figure1" ref-type="fig">Figure 1</xref>. A total of 58 studies were selected through this process and further analyzed [<xref ref-type="bibr" rid="ref18">18</xref>-<xref ref-type="bibr" rid="ref75">75</xref>]. The information and main findings extracted from all included studies is detailed in <xref ref-type="table" rid="table2">Table 2</xref>.</p>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flowchart of the selected studies. WoS: Web of Science.</p>
          </caption>
          <graphic xlink:href="publichealth_v9i1e44051_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>Characteristics of the included studies.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="100"/>
            <col width="100"/>
            <col width="130"/>
            <col width="100"/>
            <col width="70"/>
            <col width="140"/>
            <col width="360"/>
            <thead>
              <tr valign="top">
                <td>Study</td>
                <td>Study setting or country</td>
                <td>Study type and key measures</td>
                <td>Study population</td>
                <td>Sample size, N</td>
                <td>Adherence or noncompliance rates</td>
                <td>Relevant findings</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>Sikakulya et al [<xref ref-type="bibr" rid="ref18">18</xref>], 2021</td>
                <td>Uganda</td>
                <td>Cross-sectional; knowledge, attitudes, and practices regarding proper use of face masks</td>
                <td>Community</td>
                <td>1114</td>
                <td>51.5% had poor mask use</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Most participants (60.1%) had satisfactory knowledge of the use of face masks, and this was greater among participants with tertiary educational levels.</p>
                    </list-item>
                  </list>
                  <list list-type="bullet">
                    <list-item>
                      <p>Regarding attitude, 69.4% were confident enough to correctly put on a face mask, 83.4% believed that a face mask can protect against COVID-19, and 75.9% had never shared their face mask. Most (95.2%) agreed that wearing face masks in public places was important to protect themselves against COVID-19, and 60.3% reported washing their hands before wearing and after removing the face mask.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Hailu et al [<xref ref-type="bibr" rid="ref20">20</xref>], 2021</td>
                <td>Ethiopia</td>
                <td>Cross-sectional and mixed methods; compliance with social distancing</td>
                <td>Community</td>
                <td>401</td>
                <td>Overall, 55.4% had poor compliance with social distancing measures</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Most (63.84%) reported that they went to crowded places without putting on a face mask, but 60.6% and 76.3% had good knowledge of COVID-19 transmission and prevention, respectively.</p>
                    </list-item>
                    <list-item>
                      <p>Only age was associated with social distancing measures, with older persons more likely than younger persons to comply with social distancing guidelines.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Bakry and Waly [<xref ref-type="bibr" rid="ref21">21</xref>], 2020</td>
                <td>Egypt</td>
                <td>Cross-sectional; perception and practice of social distancing</td>
                <td>Community</td>
                <td>1036</td>
                <td>82% were not strictly practicing social distancing</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Most (70%) perceived that social distancing measures reduced the transmission of COVID-19.</p>
                    </list-item>
                    <list-item>
                      <p>There was a significant association between the practice of social distancing and some sociodemographic factors such as sex, age, education, working status, place of residence, and community of residence.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Tadesse et al [<xref ref-type="bibr" rid="ref22">22</xref>], 2020</td>
                <td>Ethiopia</td>
                <td>Cross-sectional; predictors of preventive practices</td>
                <td>Community employees</td>
                <td>628</td>
                <td>68.8% had poor COVID-19 prevention practice</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Most (&#62;50%) had high perceived susceptibility, severity, benefit, barriers, cues to action, and self-efficacy regarding COVID-19 prevention practice.</p>
                    </list-item>
                    <list-item>
                      <p>Employees with a low level of perceived barriers were less likely to have a poor practice of COVID-19 prevention compared with employees with a high level of perceived barriers.</p>
                    </list-item>
                  </list>
                  <list list-type="bullet">
                    <list-item>
                      <p>Moreover, employees with low cues to action and employees with a low level of self-efficacy practiced COVID-19 prevention measures to a lesser extent compared with those with high cues to action and high levels of self-efficacy.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Iyamu et al [<xref ref-type="bibr" rid="ref23">23</xref>], 2022</td>
                <td>MCP<sup>a</sup>—6 countries: Botswana, Kenya, Malawi, Nigeria, Zambia, and Zimbabwe</td>
                <td>Cross-sectional; face mask use perception and social media</td>
                <td>Community</td>
                <td>1988</td>
                <td>—<sup>b</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>A total of 58.8% used social media as their main source of information, whereas 85% agreed that face masks were effective against COVID-19.</p>
                    </list-item>
                    <list-item>
                      <p>Respondents who used social media were more likely to agree that face masks were effective compared with those who did not.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Bukuluki and Kisaakye [<xref ref-type="bibr" rid="ref24">24</xref>], 2021</td>
                <td>Uganda</td>
                <td>Cross-sectional; face mask wearing in public places</td>
                <td>Community</td>
                <td>1054</td>
                <td>52% and 78% wore face masks sometimes inside in public spaces and always outside in public spaces, respectively</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Approximately 90% of respondents agreed that wearing a mask inside or outside in public spaces can prevent COVID-19 infection.</p>
                    </list-item>
                    <list-item>
                      <p>Age and frequency of face mask wearing inside or outside in public spaces were significantly related to belief in face mask efficacy.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Nnama-Okechukwu et al [<xref ref-type="bibr" rid="ref25">25</xref>], 2020</td>
                <td>Nigeria</td>
                <td>Qualitative study; knowledge of and compliance with preventive measures</td>
                <td>Community</td>
                <td>36</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Findings revealed that most of the respondents believed that the COVID-19 pandemic was more of a hoax than a reality.</p>
                    </list-item>
                    <list-item>
                      <p>Other findings showed that this poor knowledge negatively affected their compliance with preventive measures to curb the spread of coronavirus.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Kajiita and Kang’ethe [<xref ref-type="bibr" rid="ref26">26</xref>], 2021</td>
                <td>8 African countries</td>
                <td>Cross-sectional and qualitative; social distancing perceptions</td>
                <td>Community</td>
                <td>20</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Results revealed varied conceptualizations and interpretations of the disease and social distancing. Notably, COVID-19 regulations such as social distancing and face mask wearing were perceived as an imported policy, a misconception responsible for nonadherence to COVID-19 protocols.</p>
                    </list-item>
                    <list-item>
                      <p>Furthermore, the study underscored that the disease and policies related to it disrupted ways of social life, infringed on people’s social-cultural rights, and had adverse health consequences.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Fodjo et al [<xref ref-type="bibr" rid="ref27">27</xref>], 2020</td>
                <td>10 countries; DRC<sup>c</sup>, Uganda, Mozambique, and Somalia</td>
                <td>Multicountry web-based survey; compliance with mask use</td>
                <td>General public</td>
                <td>206,729</td>
                <td>Face mask use—DRC: 43.2%; Uganda: 32.7%; Mozambique: 93.9%; Somalia: 51.2%</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Adherence rates were higher in countries where masking was mandatory or highly encouraged by the government during the early phases of the COVID-19 outbreak.</p>
                    </list-item>
                    <list-item>
                      <p>Reusable cloth masks (more cost-beneficial and environmentally friendly than surgical masks) were the most frequent, accounting for 51.1% of all mask types.</p>
                    </list-item>
                    <list-item>
                      <p>There were differential rates of mask uptake and use between sexes and age groups observed in different countries. Even in countries where no preexisting culture of mask use existed, high uptake of mass masking was feasible.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Sewpaul et al [<xref ref-type="bibr" rid="ref28">28</xref>], 2021</td>
                <td>South Africa</td>
                <td>Cross-sectional; compliance with and determinants of social distancing</td>
                <td>Community</td>
                <td>17,563</td>
                <td>20.3% reported having not left home</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>A total of 50.6% were in close physical distance with 1-10 people, 21.1% were in close physical distance with 11-50 people, and 8% were in close physical distance with &#62;50 people.</p>
                    </list-item>
                    <list-item>
                      <p>Larger household sizes and incorrect knowledge about the importance of social distancing were associated with being in contact with &#62;50 people. Male sex, younger age, and being in the White and non-White population groups were significantly associated with being in contact with 1-10 people but not with larger numbers of people.</p>
                    </list-item>
                    <list-item>
                      <p>Employment, at least a secondary school education, the lack of self-efficacy in being able to protect oneself from infection, and moderate or high risk perception of becoming infected were all associated with increased odds of close contact with 1-10, 11-50, and &#62;50 people relative to remaining at home.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Wondimu et al [<xref ref-type="bibr" rid="ref29">29</xref>], 2020</td>
                <td>Ethiopia</td>
                <td>Cross-sectional; predictors of preventive practices</td>
                <td>Community</td>
                <td>803</td>
                <td>Generally, 59.4% had good prevention practices for COVID-19</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Approximately 64.7% had a history of going to crowded places, whereas only 30.3% of the participants had a history of wearing a mask when leaving home.</p>
                    </list-item>
                    <list-item>
                      <p>A total of 64.4% had a history of maintaining their distance at 2 meters, and 64.8% washed their hands with soap and water or used alcohol-based hand sanitizers.</p>
                    </list-item>
                    <list-item>
                      <p>Urban residence, family size, good knowledge, positive attitude, intention to seek care, and perceived mortality were positively associated with good prevention practices.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Fikrie et al [<xref ref-type="bibr" rid="ref30">30</xref>], 2021</td>
                <td>Ethiopia</td>
                <td>Cross-sectional; social distancing and associated factors</td>
                <td>Community</td>
                <td>410</td>
                <td>38.3% had good social distancing practices</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Younger age (26-35 years) and being employed were positively associated with good social distancing practice, whereas poor knowledge, negative attitude, and low perceived susceptibility had a negative association.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Mejjad et al [<xref ref-type="bibr" rid="ref31">31</xref>], 2021</td>
                <td>Morocco</td>
                <td>Cross-sectional; mask use and disposal behavior</td>
                <td>Community</td>
                <td>185</td>
                <td>70% used face masks at least once a day</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>A total of 70% of the respondents threw their discarded masks and gloves in the house trash or trash bins after their first use, whereas nearly 30% of respondents admitted that they did not wear masks as they did not leave their homes during the lockdown.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Burger et al [<xref ref-type="bibr" rid="ref32">32</xref>], 2022</td>
                <td>South Africa</td>
                <td>Longitudinal survey; predictors of mask wearing</td>
                <td>Community</td>
                <td>7074</td>
                <td>74% wore face masks when in public</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Self-efficacy, the prevalence of others’ mask wearing in the same district, and affluence were positively associated with reported mask wearing.</p>
                    </list-item>
                    <list-item>
                      <p>Those who reported staying at home were significantly less likely to report wearing a mask.</p>
                    </list-item>
                    <list-item>
                      <p>Despite having a higher mortality risk, older adults had significantly lower odds of mask wearing.</p>
                    </list-item>
                    <list-item>
                      <p>The prevalence of mask wearing increased significantly from May 2020 to August 2020 (from 50% to 74%) as COVID-19 cases increased and lockdown restrictions were eased, but staying at home, physical distancing, and social distancing decreased.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Amuakwa-Mensah et al [<xref ref-type="bibr" rid="ref33">33</xref>], 2021</td>
                <td>MCP—12 sub-Saharan African countries</td>
                <td>Cross-sectional; handwashing and COVID-19 concerns</td>
                <td>Community</td>
                <td>4788</td>
                <td>54.6% washed their hands for 20 seconds &#62;5 times a day, and 4.2% did not wash their hands at all</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>The level of concern about the spread of the virus increased the likelihood of washing hands with soap under running water for a minimum of 20 seconds at least 5 times a day.</p>
                    </list-item>
                    <list-item>
                      <p>Heterogeneous effects across gender and age groups, locality, and various water sources were noted.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Szczuka et al [<xref ref-type="bibr" rid="ref19">19</xref>], 2021</td>
                <td>MCP—Gambia</td>
                <td>Observational study; handwashing adherence</td>
                <td>Community</td>
                <td>6064</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Higher handwashing adherence was associated with more frequent exposure to handwashing guidelines, being a health care professional, being older, being female, and being married.</p>
                    </list-item>
                    <list-item>
                      <p>Stricter containment and health policies were associated with lower handwashing adherence.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Iwuoha and Aniche [<xref ref-type="bibr" rid="ref34">34</xref>], 2020</td>
                <td>Nigeria</td>
                <td>Cross-sectional and qualitative; impact of physical distancing policies</td>
                <td>Slum residents</td>
                <td>49</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>The study demonstrated that the peculiar and adverse conditions of low-income urban dwellers were not considered in the formulation of the COVID-19 lockdown and physical distancing policies in Nigeria. Thus, such policies worsened the living conditions of extremely low-income urban or suburban slum dwellers in Nigeria.</p>
                    </list-item>
                    <list-item>
                      <p>There is a need to engender an indigenous (Afro-centered) approach to the containment of the pandemic.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>McCreesh et al [<xref ref-type="bibr" rid="ref35">35</xref>], 2021</td>
                <td>South Africa</td>
                <td>Longitudinal survey; impact of social distancing regulations</td>
                <td>Community</td>
                <td>1704</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Extrahousehold social contact fell substantially following the imposition of COVID-19 distancing regulations in that there were substantial declines in close physical and conversational contacts and also in beyond-household sharing of indoor space.</p>
                    </list-item>
                    <list-item>
                      <p>However, there was ongoing contact within intergenerational households, highlighting a potential limitation of social distancing measures in protecting older adults.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>De Backer et al [<xref ref-type="bibr" rid="ref36">36</xref>], 2020</td>
                <td>MCP—38 countries; Uganda, South Africa, and Egypt</td>
                <td>Cross-sectional; impact of social distancing on healthy meals</td>
                <td>Community</td>
                <td>37,207</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Increases in planning, selecting, and preparing healthy foods were found for women and men and were positively related to perceived time availability and stay-at-home policies.</p>
                    </list-item>
                    <list-item>
                      <p>Psychological distress was a barrier for women and an enabler for men, whereas financial stress was a barrier and enabler depending on various sociodemographic variables.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Kim et al [<xref ref-type="bibr" rid="ref37">37</xref>], 2022</td>
                <td>Kenya</td>
                <td>Cross-sectional; WASH<sup>d</sup> accessibility</td>
                <td>Slum dwellers</td>
                <td>647</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>A total of 77.4% and 60.6% of people living in Kibera and Mathare, respectively, had limited WASH facility accessibility or opportunity.</p>
                    </list-item>
                    <list-item>
                      <p>Overall accessibility and opportunity were better in Mathare than in Kibera.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Ag Ahmed et al [<xref ref-type="bibr" rid="ref38">38</xref>], 2021</td>
                <td>Mali</td>
                <td>Qualitative study; adoption of physical distancing measures</td>
                <td>Internally displaced people</td>
                <td>68</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>The main challenges concerning the implementation and adoption of physical distancing measures included the proximity in which internally displaced people live, their beliefs and values, the lack of toilets and safe water on sites, internally displaced people’s habits and economic situation, humanitarian actors’ lack of financial resources and authority, and social pressure from religious leaders.</p>
                    </list-item>
                    <list-item>
                      <p>Implemented mitigation measures included the building of new shelters or their compartmentalization, the creation of income-generating activities and food banks, psychosocial support, promotion of awareness of internally displaced people, and night police patrols and surveillance to discourage internally displaced people from going out.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Mhlanga-Gunda et al [<xref ref-type="bibr" rid="ref39">39</xref>], 2022</td>
                <td>Zimbabwe</td>
                <td>Qualitative study; social distancing and prevention measures</td>
                <td>Prisoners and staff</td>
                <td>80</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Outdated infrastructure, severe congestion, interrupted water supply, and inadequate hygiene and sanitation were conducive to ill health and the spread of disease.</p>
                    </list-item>
                    <list-item>
                      <p>Health professionals had been well trained regarding COVID-19 control measures, and COVID-19 awareness among prisoners was generally adequate.</p>
                    </list-item>
                    <list-item>
                      <p>There was no routine COVID-19 testing in place beyond thermal scanning.</p>
                    </list-item>
                    <list-item>
                      <p>Access to health care was good, but standards were hindered by inadequate medicine and PPE<sup>e</sup> supply, and isolation measures were compromised by accommodation capacity issues.</p>
                    </list-item>
                    <list-item>
                      <p>The flow of prison entries constituted a transmission risk, and social distancing was impossible during meals and at night.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Assefa et al [<xref ref-type="bibr" rid="ref40">40</xref>], 2021</td>
                <td>Ethiopia</td>
                <td>Cross-sectional; knowledge, attitude, practice, and challenges regarding hand hygiene</td>
                <td>HCWs<sup>f</sup></td>
                <td>96</td>
                <td>76% had good hand hygiene practices with alcohol-based hand sanitizers</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>All the HCWs practiced different COVID-19 prevention methods, and most were knowledgeable (93.8%) and had a favorable attitude (74%).</p>
                    </list-item>
                    <list-item>
                      <p>However, 84.5% of the respondents faced challenges during alcohol-based hand sanitizer use owing to it being unavailable (68.8%) or expensive (52.1%); forgetting (11.5%); and experiencing health-associated risks such as skin irritation (28.1%), skin dryness (62.5%), and ocular irritation (11.5%).</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Seid Yimer and Gebrehana Belay [<xref ref-type="bibr" rid="ref41">41</xref>], 2021</td>
                <td>Ethiopia</td>
                <td>Hospital-based cross-sectional study; knowledge and practice of proper face mask use</td>
                <td>HCWs</td>
                <td>422</td>
                <td>59.5% practiced proper mask use</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>The overall good knowledge score of health care providers regarding proper face mask use was 65.8%.</p>
                    </list-item>
                    <list-item>
                      <p>Of them, 67.3% knew that face masks were worn with the white side facing in, 62.6% knew that face masks had 3 layers, and 78.4% knew that surgical face masks were worn for up to 8 hours.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Ahmed Sayed et al [<xref ref-type="bibr" rid="ref42">42</xref>], 2021</td>
                <td>Egypt</td>
                <td>Cross-sectional; preparedness and attitude toward PPE</td>
                <td>HCWs</td>
                <td>254</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Only 28.74% of the house officers had good preparedness, whereas 85.83% had a good PPE attitude.</p>
                    </list-item>
                    <list-item>
                      <p>Preparedness and willingness were significantly associated with the overall worry related to the pandemic (fear of contracting COVID-19 and having family members at risk of severe COVID-19).</p>
                    </list-item>
                    <list-item>
                      <p>The house officers with good preparedness and willingness to deal with COVID-19 seemed to have a good PPE attitude.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Alao et al [<xref ref-type="bibr" rid="ref43">43</xref>], 2020</td>
                <td>Nigeria</td>
                <td>Cross-sectional; knowledge, attitudes, beliefs, and use of PPE</td>
                <td>HCWs</td>
                <td>272</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Only 25.7% had adequate knowledge about PPE. Of the respondents who presumed that they had adequate knowledge about donning and doffing PPE, 94 (56%) were incorrect.</p>
                    </list-item>
                    <list-item>
                      <p>The predictors of good knowledge were younger age (&#60;45 years) and practice location.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Daghmouri et al [<xref ref-type="bibr" rid="ref44">44</xref>], 2020</td>
                <td>Tunisia</td>
                <td>Cross-sectional and institution-based; PPE use</td>
                <td>HCWs</td>
                <td>723</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>There was a likely overuse of PPE in addition to a high rate of side effects caused by PPE.</p>
                    </list-item>
                    <list-item>
                      <p>A total of 57.3% of participants reported a lack of PPE, which could be extremely stressful and detrimental to them.</p>
                    </list-item>
                    <list-item>
                      <p>A total of 72.5% of respondents reused disposable PPE, especially facial protective shields and FFP2<sup>g</sup>.</p>
                    </list-item>
                    <list-item>
                      <p>Only 37.8% of frontline HCWs had received official training on the correct use of PPE, especially on how to fit FFP2 masks (only 32.6%).</p>
                    </list-item>
                    <list-item>
                      <p>A total of 89.1% of participants believed that they needed additional training.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Kassie et al [<xref ref-type="bibr" rid="ref45">45</xref>], 2020</td>
                <td>Ethiopia</td>
                <td>Cross-sectional; preventive practices</td>
                <td>HCWs</td>
                <td>630</td>
                <td>38.7% (95% CI 34.8%-42.5%) good preventive practice against COVID-19</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Being a male health care provider, having work experience of 6-10 years, and having a poor attitude toward COVID-19 were found to be significantly associated with poor COVID-19 preventive practices among HCWs.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Keleb et al [<xref ref-type="bibr" rid="ref46">46</xref>], 2021</td>
                <td>Ethiopia</td>
                <td>Cross-sectional; PPE use and hand hygiene and associated factors</td>
                <td>HCWs</td>
                <td>489</td>
                <td>32% and 22.3% were compliant with PPE use and hand hygiene practice, respectively</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Feedback for safety, training on COVID-19 prevention, and perception of infection risk were significant factors of good compliance with PPE use.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Birhanu et al [<xref ref-type="bibr" rid="ref47">47</xref>], 2021</td>
                <td>Ethiopia</td>
                <td>Cross-sectional; PPE use</td>
                <td>HCWs</td>
                <td>418</td>
                <td>37.6% had good practice of PPE use</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Being male, being a nurse or midwifery professional, regularly sanitizing hands and medical equipment, having national COVID-19 management guidelines, taking COVID-19 training, and the feeling of eventually contracting COVID-19 at the workplace had a positive association with PPE use.</p>
                    </list-item>
                    <list-item>
                      <p>However, not feeling safe at work when using standard precautions was negatively associated with PPE use.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>El-Sokkary et al [<xref ref-type="bibr" rid="ref48">48</xref>], 2021</td>
                <td>Egypt</td>
                <td>Cross-sectional; mask use and compliance</td>
                <td>HCWs</td>
                <td>404</td>
                <td>53.2% were noncompliant with mask use</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Most reported a shortage in N95 respirators (91.3%) and practiced extended PPE use (88.1%). Better compliance with proper PPE use was reported among female individuals, physicians, and medical specialties with &#60;10 years of work experience and working &#62;8 hours per day.</p>
                    </list-item>
                    <list-item>
                      <p>Significant predictors of compliance were receiving previous training on the proper use of PPE, exposure to patients with COVID-19, and performing procedures that posed a high risk of exposure to COVID-19 to HCWs.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Afemikhe et al [<xref ref-type="bibr" rid="ref49">49</xref>], 2020</td>
                <td>Nigeria</td>
                <td>Cross-sectional; transmission-based precaution practices</td>
                <td>Nurses</td>
                <td>367</td>
                <td>85.6% maintained a good level of preventive practices, and 89.1% performed hand hygiene</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Academic qualification was a significant predictor of good practice in favor of respondents with a degree in Nursing.</p>
                    </list-item>
                    <list-item>
                      <p>Challenges identified were the lack of financial motivation, fear of infecting family members, and fear of contracting the virus (93.5%).</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Elhadi et al [<xref ref-type="bibr" rid="ref50">50</xref>], 2021</td>
                <td>Libya</td>
                <td>Cross-sectional; mask wearing</td>
                <td>General population and HCWs</td>
                <td>15,087</td>
                <td>68.1% had mask wearing adherence</td>
                <td>—</td>
              </tr>
              <tr valign="top">
                <td>Tabah et al [<xref ref-type="bibr" rid="ref51">51</xref>], 2020</td>
                <td>90 countries; Libya, Egypt, Morocco, and Tunisia</td>
                <td>A cross-sectional, international survey; PPE use</td>
                <td>HCWs</td>
                <td>2711</td>
                <td>For routine care, 58% used FFP2 or N95 masks, waterproof long-sleeved gowns (67%), and face shields or visors (62%)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Powered air-purifying respirators were used routinely and for intubation only by 7% and 13% of respondents, respectively.</p>
                    </list-item>
                    <list-item>
                      <p>Surgical masks were used for routine care and for intubations by 15% and 2% of respondents, respectively.</p>
                    </list-item>
                    <list-item>
                      <p>At least one piece of standard PPE was unavailable for 1402 (52%) respondents, and 30% reported reusing single-use PPE.</p>
                    </list-item>
                    <list-item>
                      <p>PPE was worn for a median of 4 (IQR 2-5) hours. Adverse effects of PPE were associated with longer shift durations and included heat (51%), thirst (47%), pressure areas (44%), headaches (28%), inability to use the bathroom (27%), and extreme exhaustion (20%).</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Mahmoud et al [<xref ref-type="bibr" rid="ref52">52</xref>], 2021</td>
                <td>Egypt and Saudi Arabia</td>
                <td>Comparative and cross-sectional; effect of sanitizers and PPE use</td>
                <td>HCWs</td>
                <td>428</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>The most affected areas from wearing PPE were the hands (49.8% and 54.5%), followed by the auricular area (44% and 40.9%), the nasal bridge (28.9% and 22.7%), the cheeks (16.9% and 13.6%), and the whole face (15.6% and 25%) among Saudi and Egyptian HCWs, respectively.</p>
                    </list-item>
                    <list-item>
                      <p>Approximately 70% of Egyptian HCW participants used 70% alcohol in the form of a gel as sanitizer, which was significantly higher than Saudi HCWs (59.1%).</p>
                    </list-item>
                    <list-item>
                      <p>The most adverse reaction to using sanitizers was skin dryness (55.1% and 63.6% among Saudi and Egyptian HCWs, respectively).</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Shadi et al [<xref ref-type="bibr" rid="ref53">53</xref>], 2022</td>
                <td>MCP that included Egypt</td>
                <td>Cross-sectional; PPE use and hand hygiene</td>
                <td>HCWs</td>
                <td>154</td>
                <td>66.9% used N95, N98, or a surgical mask, and 86.4% had good hand hygiene</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>A total of 77.3% had all the PPE and protective measures they needed.</p>
                    </list-item>
                    <list-item>
                      <p>A total of 66.2% had been recently educated on infection control.</p>
                    </list-item>
                    <list-item>
                      <p>A total of 20.8% always used a standard surgical mask and thought that it was sufficiently protective, 12.3% used either mask according to their availability, and none of the participants refrained from using masks.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Deressa et al [<xref ref-type="bibr" rid="ref54">54</xref>], 2021</td>
                <td>Ethiopia</td>
                <td>Cross-sectional; availability and use of PPE and satisfaction with PPE</td>
                <td>HCWs</td>
                <td>1134</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Most (77%) of the HCWs reported that their hospital did not have adequate PPE. A critical shortage of N95 respirators was particularly reported; it only increased from 13% to 24% from before to during the COVID-19 pandemic.</p>
                    </list-item>
                    <list-item>
                      <p>The use of N95 increased from 9% to 21% from before to during the COVID-19 pandemic. Almost 72% of the respondents were dissatisfied with the availability and use of PPE in their hospital.</p>
                    </list-item>
                    <list-item>
                      <p>The independent predictors of the respondents’ satisfaction levels with PPE were HCWs who reported that PPE was adequately available in the hospital and preparedness to provide care to COVID-19 cases.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Oladele et al [<xref ref-type="bibr" rid="ref55">55</xref>], 2021</td>
                <td>Nigeria</td>
                <td>Cross-sectional and mixed methods; availability and use of PPE</td>
                <td>HCWs</td>
                <td>258</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Only 22.1% of HCWs had regular access to PPE, and only 20.6% had access to N95 face masks compared with other PPEs. Male HCWs and those working at secondary or tertiary facilities had access to N95 face masks.</p>
                    </list-item>
                    <list-item>
                      <p>Facilitators of PPE use were the leadership quality of the hospital head and donation of PPE to the facilities, whereas barriers to PPE use included a limited supply of PPE as well as the facility’s infrastructural and operational challenges.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Ashour et al [<xref ref-type="bibr" rid="ref56">56</xref>], 2021</td>
                <td>MCP—Egypt and Morocco</td>
                <td>Cross-sectional; challenges and difficulties of using PPE</td>
                <td>Ophthalmologists</td>
                <td>172</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>The analysis of the responses showed that most ophthalmologists used face masks without substantial problems during their examinations, whereas face shields followed by protective goggles were the most inconvenient PPE in the current ophthalmic practice.</p>
                    </list-item>
                    <list-item>
                      <p>Moreover, most (77.3%) noticed an increase in their examination time when using PPE. A considerable proportion (40.7%) stopped using one or more of the PPE because of inconvenience or discomfort.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Foula et al [<xref ref-type="bibr" rid="ref57">57</xref>], 2021</td>
                <td>Egypt</td>
                <td>Cross-sectional; effect of wearing PPE on performance and decision-making</td>
                <td>Physicians</td>
                <td>272</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Results indicated that comfort, vision, and communication were significantly reduced because of PPE wearing in all physician groups (81.1%, 88.7%, and 75.5%, respectively).</p>
                    </list-item>
                    <list-item>
                      <p>In contrast, the handling of instruments was not significantly affected in the second group only. Moreover, decision-making and the rate of complications were not significantly affected.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Hajjij et al [<xref ref-type="bibr" rid="ref58">58</xref>], 2020</td>
                <td>Morocco</td>
                <td>Cross-sectional; PPE and headaches</td>
                <td>HCWs</td>
                <td>155</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>The overall prevalence of headaches related to PPE was 62%. It was experienced de novo by 32.9% of participants, whereas it was an aggravation of a preexisting headache in 29% of participants.</p>
                    </list-item>
                    <list-item>
                      <p>Working &#62;8 hours per shift during the pandemic was correlated to de novo headache (<italic>P</italic>=.008). The profession of physician and working &#62;12 hours per shift were correlated with aggravated headaches. HCWs experienced moderate discomfort, blurred vision, and reduced concentration. They judged their professional performance to be mildly reduced by the use of PPE.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Nwosu et al [<xref ref-type="bibr" rid="ref59">59</xref>], 2021</td>
                <td>Nigeria</td>
                <td>Cross-sectional; impact of different face masks on comfort</td>
                <td>HCWs</td>
                <td>66</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>HCWs wore masks for periods ranging from 68 to 480 minutes. The discomfort experienced with the use of the N95 mask was greater than with the surgical mask.</p>
                    </list-item>
                    <list-item>
                      <p>No significant change in arterial oxygen saturation was observed with the use of either mask type, and the tight strapping of the N95 mask was perceived as a contributor to the discomfort experienced with mask use.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Marraha et al [<xref ref-type="bibr" rid="ref60">60</xref>], 2021</td>
                <td>Morocco</td>
                <td>Cross-sectional; skin reactions to PPE use</td>
                <td>HCWs</td>
                <td>273</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>A total of 80% of HCWs had adverse reactions, including skin problems, after wearing goggles (58%), wearing surgical masks and respirators (57%), handwashing and wearing gloves (45%), wearing a face shield (23%), and wearing protective clothing (11%).</p>
                    </list-item>
                    <list-item>
                      <p>Bleach immersion was highly significantly associated with hand reactions, whereas hand cream use more than twice daily was associated with fewer reactions.</p>
                    </list-item>
                    <list-item>
                      <p>The skin reactions were related to goggle use, wearing masks and N95 respirators was significantly associated with longer use duration, and adverse reactions to regular use of protective clothing were related to the frequency of its use per shift.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Jazieh et al [<xref ref-type="bibr" rid="ref61">61</xref>], 2020</td>
                <td>6 countries; Egypt, Algeria, and Morocco</td>
                <td>Multicountry survey; behavioral response</td>
                <td>Patients with cancer</td>
                <td>1012</td>
                <td>Adherence to handwashing (77%), keeping distance from others (67%), mask use (77%), and hand hygiene with hand sanitizer (69%) and soap (81%)</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patients were worried about contracting the virus strongly (33%) or mildly (48%), and most (&#62;80%) reported avoiding the following actions: hand shaking, hugging and kissing, social gatherings, meeting friends, and visiting markets.</p>
                    </list-item>
                    <list-item>
                      <p>Some reported adopting healthier diets (35%), using dietary supplements (18%), and reciting the Quran (61%) or supplications (75%).</p>
                    </list-item>
                    <list-item>
                      <p>Approximately 23% would choose not to show up for a scheduled medical appointment, and 43% had appointment cancellations at the request of the medical team (31%) or the patients themselves (12%).</p>
                    </list-item>
                    <list-item>
                      <p>Moreover, 84% preferred web-based medical appointments over regular visits.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Andarge et al [<xref ref-type="bibr" rid="ref62">62</xref>], 2020</td>
                <td>Ethiopia</td>
                <td>Cross-sectional and facility-based; intention and practice of PPMs<sup>h</sup></td>
                <td>Adults with chronic conditions</td>
                <td>806</td>
                <td>52% and 76.3% intended to practice and had ever practiced PPMs</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Participants’ subjective norms and perceived behavioral control were the factors associated with their intention.</p>
                    </list-item>
                    <list-item>
                      <p>Good knowledge and a positive attitude were found to be significant factors associated with the participants’ actual practice of PPMs among other independent factors.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Mostafa and Hegazy [<xref ref-type="bibr" rid="ref63">63</xref>], 2020</td>
                <td>Egypt</td>
                <td>Cross-sectional, observational study</td>
                <td>Patients of dermatology</td>
                <td>62</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>There was an overall satisfaction and future use score of 91% among the interviewed patients who received teledermatology services; a usefulness score of 93.7%; interface and interaction quality scores of 85.9% and 87%, respectively; ease and use learnability score of 87.8%; and a reliability score of 86.7%.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Larebo and Abame [<xref ref-type="bibr" rid="ref64">64</xref>], 2021</td>
                <td>Ethiopia</td>
                <td>Cross-sectional; face mask use and associated factors</td>
                <td>University students</td>
                <td>764</td>
                <td>89.5% had good practice of face mask use</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Overall knowledge of the students was 29.2%, and their attitude was 88.1%.</p>
                    </list-item>
                    <list-item>
                      <p>Students from the College of Natural and Computational Sciences and students having good knowledge were found to be independently associated with face mask use.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Nalunkuma et al [<xref ref-type="bibr" rid="ref65">65</xref>], 2022</td>
                <td>Uganda</td>
                <td>Cross-sectional; patterns of double mask use</td>
                <td>Medical students</td>
                <td>348</td>
                <td>Only 20.5% reported double masking</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>A total of 68.7% believed that double masking was superior to single masking for COVID-19 prevention and control.</p>
                    </list-item>
                    <list-item>
                      <p>Those with a past COVID-19 positive test and those who believed that double masks had a superior protective advantage were more likely to double mask.</p>
                    </list-item>
                    <list-item>
                      <p>The lack of trust in the quality of masks (46.5%) was the most frequent motivation for double masking, whereas excessive sweating (68.4%), high cost of masks (66.4%), and difficulty in breathing (66.1%) were the major barriers.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Aronu et al [<xref ref-type="bibr" rid="ref66">66</xref>], 2020</td>
                <td>Nigeria</td>
                <td>Cross-sectional; perception of masking in children</td>
                <td>Mothers</td>
                <td>387</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Only 44.7% of the mothers perceived masking in children as an appropriate measure for the prevention of COVID-19, and the frequent reasons for the inappropriateness of face masks in children given by most (55.3%) of the mothers included perceived difficulty in breathing (38.5%) and the child’s readiness to take the masks off (29.3%).</p>
                    </list-item>
                    <list-item>
                      <p>A significantly higher proportion of children whose mothers were aged ≥35 years would wear face masks (64.2%) when compared with 31.7% of those whose mothers were aged &#60;30 years. Similarly, 51% of the children who were aged &#62;1 year would wear a face mask compared with 20.5% of those aged 8 days to 1 year.</p>
                    </list-item>
                    <list-item>
                      <p>The children whose mothers were aged &#60;30 years were approximately 4 times less likely to wear a face mask when compared with those whose mothers were aged ≥35 years. The children whose fathers had attained tertiary education were approximately twice less likely to wear face masks when compared with those whose fathers had attained a secondary education or lower.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Haftom and Petrucka [<xref ref-type="bibr" rid="ref67">67</xref>], 2021</td>
                <td>Ethiopia</td>
                <td>Cross-sectional; face mask use</td>
                <td>Quarantined adults</td>
                <td>331</td>
                <td>46% did not wear a face mask when leaving home</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Face mask use was significantly associated with the knowledge score, employment status, gender, age, and educational status of the study participants.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Deressa et al [<xref ref-type="bibr" rid="ref68">68</xref>], 2021</td>
                <td>Ethiopia</td>
                <td>Cross-sectional; social distancing and preventive measures</td>
                <td>Government employees</td>
                <td>1573</td>
                <td>96% wore face masks, 94.5% practiced frequent handwashing, and 89.5% practiced physical distancing</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>A total of 94.8% avoided close contact with people, including hand shaking; 95.6% consistently followed government recommendations; 88.1% avoided mass gatherings and crowded places; 71.8% restricted movement and traveling; and 35.6% stayed home.</p>
                    </list-item>
                    <list-item>
                      <p>A total of 80% perceived that consistently wearing a face mask was highly effective in preventing coronavirus infection, and the perception varied by region (Oromia residents being less likely to have good perceptions).</p>
                    </list-item>
                    <list-item>
                      <p>A total of 57% perceived that the policy measures in response to the pandemic were inadequate.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Dzisi and Dei [<xref ref-type="bibr" rid="ref69">69</xref>], 2020</td>
                <td>Ghana</td>
                <td>Cross-sectional, roadside observer survey; adherence to social distancing and mask use</td>
                <td>Commuters</td>
                <td>850</td>
                <td>98% of buses complied with the social distancing guidelines</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>The policy on face masks was complied with only partially in most vehicles.</p>
                    </list-item>
                    <list-item>
                      <p>A total of 12.6% of the vehicles had &#60;3 commuters without face masks, whereas 21.3% of buses had &#60;3 people with face masks.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Agyemang et al [<xref ref-type="bibr" rid="ref70">70</xref>], 2021</td>
                <td>Ghana</td>
                <td>Cross-sectional; perception and mask use</td>
                <td>Commercial drivers</td>
                <td>500</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Most drivers had a high vulnerability perception to COVID-19. It further emerged that older drivers in particular consistently wore face masks and insisted on other persons in their commercial vehicles to follow suit.</p>
                    </list-item>
                    <list-item>
                      <p>Sociodemographic factors and the need to ensure one’s safety and that of loved ones were critical determinants of face mask use among surveyed drivers.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Natnael et al [<xref ref-type="bibr" rid="ref71">71</xref>], 2021</td>
                <td>Ethiopia</td>
                <td>Cross-sectional; knowledge, attitude, and frequent hand hygiene practices</td>
                <td>Taxi drivers</td>
                <td>417</td>
                <td>66.4% had good frequent hand hygiene practices</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Good knowledge and positive attitude were reported in 69.8% and 67.6% of the drivers, respectively.</p>
                    </list-item>
                    <list-item>
                      <p>Educational level, place of residence, and attitude toward COVID-19 prevention were factors associated with good knowledge about COVID-19. Furthermore, age of &#62;30 years, a secondary education or higher, income, and knowledge about COVID-19 in taxi drivers were factors associated with a positive attitude toward COVID-19 prevention. Moreover, attitude toward COVID-19 and educational level were the factors associated with good frequent hand hygiene practices.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Mboowa et al [<xref ref-type="bibr" rid="ref72">72</xref>], 2021</td>
                <td>Uganda</td>
                <td>Cross-sectional; knowledge, attitudes, and practices regarding face mask use</td>
                <td>High-risk groups</td>
                <td>644</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Most had heard about COVID-19 (99.7%) and believed that face masks were protective against it (87.3%), whereas 67.9% reported having received information on face mask use.</p>
                    </list-item>
                    <list-item>
                      <p>Food market vendors and those with no formal education were 0.5 and 0.3 times less likely to have received information about face mask use than hospital workers and those who had completed secondary school, respectively.</p>
                    </list-item>
                    <list-item>
                      <p>Those who had received information on face mask use were 2.9 and 1.8 times more likely to own face masks and perceive them as protective, respectively. Food market vendors were 3.9 times more likely to reuse their face masks than hospital workers.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Fielmua et al [<xref ref-type="bibr" rid="ref73">73</xref>], 2021</td>
                <td>Ghana</td>
                <td>Cross-sectional, observational study; hand hygiene and safety behaviors</td>
                <td>Shoppers and shopkeepers</td>
                <td>751</td>
                <td>91.3% of the customers did not practice handwashing, and 84.2% did not wear face masks</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>It was observed that adherence to COVID-19 safety protocols at shopping centers was very poor, and in 78% of the shops observed, no shop attendant wore a mask.</p>
                    </list-item>
                    <list-item>
                      <p>Despite the provision of handwashing facilities and widespread advocacy to minimize COVID-19 infections, the citizenry, especially the youth, demonstrated a poor attitude toward safety measures. Nonadherence to COVID-19 protocols was higher in shops where there was no pressure to conform to the protocols.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Ameme et al [<xref ref-type="bibr" rid="ref74">74</xref>], 2021</td>
                <td>Ghana</td>
                <td>Observational study; hand hygiene and face mask wearing practices</td>
                <td>Shop patrons</td>
                <td>800</td>
                <td>81.6% wore face masks, 12.3% performed hand hygiene, and 11.5% adhered to both measures</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>A total of 72.3% of patrons wore face masks appropriately, whereas appropriate handwashing was recorded among only 10.1%.</p>
                    </list-item>
                    <list-item>
                      <p>Compared with inappropriate handwashing, appropriate handwashing was negatively associated with adherence to infection and control guidelines.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Yigzaw et al [<xref ref-type="bibr" rid="ref75">75</xref>], 2021</td>
                <td>Ethiopia</td>
                <td>Observational cross-sectional study; handwashing practice</td>
                <td>Bank visitors</td>
                <td>415</td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Most (93.5%) heard and watched proper handwashing practice. The proportion of proper handwashing performance was 21.4% before the demonstration, but after the demonstration, it increased to 82.2%.</p>
                    </list-item>
                    <list-item>
                      <p>Older age, being married, and higher education were associated with proper handwashing practice. Overall, there was a significant change in handwashing practice after the demonstration.</p>
                    </list-item>
                  </list>
                </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table2fn1">
              <p><sup>a</sup>MCP: multicountry paper.</p>
            </fn>
            <fn id="table2fn2">
              <p><sup>b</sup>Not available.</p>
            </fn>
            <fn id="table2fn3">
              <p><sup>c</sup>DRC: Democratic Republic of the Congo.</p>
            </fn>
            <fn id="table2fn4">
              <p><sup>d</sup>WASH: water, sanitation, and hygiene.</p>
            </fn>
            <fn id="table2fn5">
              <p><sup>e</sup>PPE: personal protective equipment.</p>
            </fn>
            <fn id="table2fn6">
              <p><sup>f</sup>HCW: health care worker.</p>
            </fn>
            <fn id="table2fn7">
              <p><sup>g</sup>FFP2: filtering face piece 2.</p>
            </fn>
            <fn id="table2fn8">
              <p><sup>h</sup>PPM: personal protective measure.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>Distribution and Characteristics of the Studies</title>
        <p>Of the 58 analyzed studies that primarily reported on PPMs against COVID-19 in Africa, 47 (81%) were single-country studies and were conducted in only 12 of the 54 African countries, whereas the remaining 11 (19%) involved multiple countries (<xref rid="figure2" ref-type="fig">Figure 2</xref>). Of the single-country studies, 36% (21/58) were from East Africa, 21% (12/58) were from West Africa, 17% (10/58) were from North Africa, 7% (4/58) were from Southern Africa, and none were from Central Africa. Ethiopia (16/58, 28%), Nigeria (7/58, 12%), and Egypt (5/58, 9%) were the top contributors and altogether produced 48% (28/58) of the analyzed studies. Thus, no single-country studies regarding COVID-19 PPMs had been conducted in 42 African countries at the time of our literature search (<xref rid="figure2" ref-type="fig">Figure 2</xref>).</p>
        <p>The 58 analyzed studies included 51 (88%) quantitative studies, 5 (9%) qualitative studies, and 2 (3%) mixed methods studies, and their sample sizes ranged from 20 to 206,729. The 4 themes were represented as follows: knowledge and perception of PPMs (21/58, 36%), mask use (37/58, 64%), physical and social distancing (17/58, 29%), and handwashing and hand hygiene (19/58, 33%), considering that most studies covered more than one theme. Moreover, 34% (20/58) of the analyzed studies were conducted among health care workers (HCWs), 33% (19/58) were conducted among the general public, 5% (3/58) were conducted among patients with comorbidities, 3% (2/58) were conducted among university students, and 22% (13/58) were conducted among other groups. The studies were published between 2019 and 2022, and their overall quality was generally good, meaning that the included studies satisfied most of the criteria. However, lower scores on item 4 (nonresponse bias) and item 5 (appropriateness of statistical methods used) were noted among several quantitative studies (9/51, 18% and 13/51, 26%, respectively), with a similar trend observed among qualitative studies, as detailed in <xref ref-type="supplementary-material" rid="app2">Multimedia Appendix 2</xref>.</p>
        <fig id="figure2" position="float">
          <label>Figure 2</label>
          <caption>
            <p>Country distribution of single-country studies. DR: Democratic Republic.</p>
          </caption>
          <graphic xlink:href="publichealth_v9i1e44051_fig2.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
      <sec>
        <title>Knowledge and Perception of PPMs and Associated Factors</title>
        <p>The results of the knowledge and perception of PPMs and other domains are summarized and presented in <xref ref-type="table" rid="table3">Table 3</xref>. Among the general public, higher rates of knowledge of COVID-19 preventive measures (&#62;60%) were reported in Western Uganda [<xref ref-type="bibr" rid="ref18">18</xref>] and Northwest Ethiopia [<xref ref-type="bibr" rid="ref20">20</xref>]. Higher rates of good attitudes and perceptions were also reported in Western Uganda [<xref ref-type="bibr" rid="ref18">18</xref>] and Egypt [<xref ref-type="bibr" rid="ref21">21</xref>], but a lower rate of perceived benefits of preventive measures was reported in Addis Ababa, Ethiopia [<xref ref-type="bibr" rid="ref22">22</xref>]. Similar findings of good perception were also reported in the Greater Kampala Metropolitan area of Uganda and in other 6 countries (Botswana, Kenya, Malawi, Nigeria, Zambia, and Zimbabwe), where a great majority of the residents believed that face masks were effective against COVID-19 spread and infection [<xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref24">24</xref>]. However, most individuals in Nigeria believed that COVID-19 was more of a hoax than a reality, and in several countries, preventive measures such as social distancing and face masking were perceived as imported policies that negatively affected their compliance with preventive measures to curb the spread of the disease [<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref26">26</xref>].</p>
        <table-wrap position="float" id="table3">
          <label>Table 3</label>
          <caption>
            <p>Levels and associated factors of personal protective measure (PPM) knowledge and perceptions and the practice of face mask use, social and physical distancing, and hand hygiene.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="90"/>
            <col width="190"/>
            <col width="230"/>
            <col width="220"/>
            <col width="240"/>
            <thead>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>Knowledge and perceptions of PPMs</td>
                <td>Face mask use</td>
                <td>Social and physical distancing</td>
                <td>Handwashing and hand hygiene</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="6">
                  <bold>General public</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Levels</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Higher rates (&#62;60%) of knowledge of PPMs [<xref ref-type="bibr" rid="ref18">18</xref>,<xref ref-type="bibr" rid="ref20">20</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>Higher rates (&#62;60%) of good attitude and perception [<xref ref-type="bibr" rid="ref18">18</xref>,<xref ref-type="bibr" rid="ref21">21</xref>,<xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref24">24</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>Lower rates (&#60;60%) of good attitude and perception [<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref26">26</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Higher rates (&#62;60%) [<xref ref-type="bibr" rid="ref24">24</xref>,<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref32">32</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>Lower rate (&#60;60%) [<xref ref-type="bibr" rid="ref18">18</xref>,<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref39">39</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Higher rate (&#62;60%) information not available</p>
                    </list-item>
                    <list-item>
                      <p>Lower rates (&#60;60%) [<xref ref-type="bibr" rid="ref20">20</xref>-<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref28">28</xref>-<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref39">39</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Higher rate (&#62;60%) information not available</p>
                    </list-item>
                    <list-item>
                      <p>Lower rates (&#60;60%) [<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref37">37</xref>-<xref ref-type="bibr" rid="ref39">39</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Associated factors</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Educational level, age, frequency of PPE<sup>a</sup> practice, and social media exposure [<xref ref-type="bibr" rid="ref18">18</xref>,<xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref24">24</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Gender, age, educational level, marital status, working status, profession, place or community of residence, knowledge and attitude, strictness of containment and health policies, perceived risk and barriers, cues to action, and self-efficacy, among others [<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref32">32</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Gender, age, educational level, working status, place or community of residence, family size, knowledge and attitude, strictness of containment and health policies, perceived risk and barriers, cues to action, and self-efficacy, among others [<xref ref-type="bibr" rid="ref20">20</xref>-<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref28">28</xref>-<xref ref-type="bibr" rid="ref30">30</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Gender, age, educational level, marital status, profession, place or community of residence, knowledge and attitude, exposure to handwashing guidelines, strictness of containment and health policies, type and availability of water sources, and perceived risk and barriers, among others [<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref33">33</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="6">
                  <bold>Health care workers</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Levels</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Higher rates (&#62;60%) of knowledge and attitude [<xref ref-type="bibr" rid="ref40">40</xref>-<xref ref-type="bibr" rid="ref42">42</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>Lower knowledge rate (&#60;50%) [<xref ref-type="bibr" rid="ref43">43</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Higher rates (&#62;60%) [<xref ref-type="bibr" rid="ref49">49</xref>-<xref ref-type="bibr" rid="ref53">53</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>Lower rates (&#60;60%) [<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref45">45</xref>-<xref ref-type="bibr" rid="ref48">48</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>—<sup>b</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Higher rates (&#62;60%) [<xref ref-type="bibr" rid="ref40">40</xref>,<xref ref-type="bibr" rid="ref49">49</xref>,<xref ref-type="bibr" rid="ref52">52</xref>,<xref ref-type="bibr" rid="ref53">53</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>Lower rates (&#60;60%) [<xref ref-type="bibr" rid="ref45">45</xref>-<xref ref-type="bibr" rid="ref47">47</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Associated factors</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Age, practice location, PPE attitude, and perceived threat [<xref ref-type="bibr" rid="ref42">42</xref>,<xref ref-type="bibr" rid="ref43">43</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Gender, educational level, work experience, medical specialty (being a nurse or midwifery professional), hours of work, previous training on COVID-19 prevention and PPE use, perceived risk and attitude toward COVID-19, feedback on safety, having COVID-19 management guidelines, and ease and safety when using standard precautions, among others [<xref ref-type="bibr" rid="ref44">44</xref>-<xref ref-type="bibr" rid="ref49">49</xref>,<xref ref-type="bibr" rid="ref55">55</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>—</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Educational level, gender, work experience, medical specialty (being a nurse or midwifery professional), previous training on COVID-19 prevention and PPE use, perceived risk and attitude toward COVID-19, feedback on safety, having COVID-19 management guidelines, and ease and safety when using standard precautions, among others [<xref ref-type="bibr" rid="ref45">45</xref>-<xref ref-type="bibr" rid="ref47">47</xref>,<xref ref-type="bibr" rid="ref49">49</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="6">
                  <bold>Other groups</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Levels</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Higher rates of knowledge, good attitude, and perception among university students [<xref ref-type="bibr" rid="ref64">64</xref>,<xref ref-type="bibr" rid="ref65">65</xref>], patients with chronic diseases [<xref ref-type="bibr" rid="ref61">61</xref>], government employees [<xref ref-type="bibr" rid="ref68">68</xref>], taxi drivers [<xref ref-type="bibr" rid="ref70">70</xref>,<xref ref-type="bibr" rid="ref71">71</xref>], and market vendors [<xref ref-type="bibr" rid="ref72">72</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>Poor perception among mothers [<xref ref-type="bibr" rid="ref66">66</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Higher rates (&#62;60%) among patients with chronic diseases [<xref ref-type="bibr" rid="ref61">61</xref>,<xref ref-type="bibr" rid="ref62">62</xref>], university students [<xref ref-type="bibr" rid="ref64">64</xref>], government employees [<xref ref-type="bibr" rid="ref68">68</xref>], patrons of convenience shops [<xref ref-type="bibr" rid="ref74">74</xref>], and taxi drivers [<xref ref-type="bibr" rid="ref70">70</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>Lower rate (&#60;60%) among medical students [<xref ref-type="bibr" rid="ref65">65</xref>], children [<xref ref-type="bibr" rid="ref66">66</xref>], quarantined individuals [<xref ref-type="bibr" rid="ref67">67</xref>], commuters [<xref ref-type="bibr" rid="ref69">69</xref>], and shopping centers [<xref ref-type="bibr" rid="ref73">73</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Higher rates (&#62;60%) among patients with chronic diseases [<xref ref-type="bibr" rid="ref61">61</xref>,<xref ref-type="bibr" rid="ref62">62</xref>], government employees [<xref ref-type="bibr" rid="ref68">68</xref>], and commuters [<xref ref-type="bibr" rid="ref69">69</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>Lower rate (&#60;60%) information not available</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Higher rates (&#62;60%) among patients with chronic diseases [<xref ref-type="bibr" rid="ref61">61</xref>,<xref ref-type="bibr" rid="ref62">62</xref>], government employees [<xref ref-type="bibr" rid="ref68">68</xref>], taxi drivers [<xref ref-type="bibr" rid="ref71">71</xref>], and bank visitors [<xref ref-type="bibr" rid="ref75">75</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>Lower rate (&#60;60%) among shopping centers [<xref ref-type="bibr" rid="ref73">73</xref>] and patrons of convenience shops [<xref ref-type="bibr" rid="ref74">74</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Associated factors</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Age, educational level, income, and residence (for taxi drivers and government employees) [<xref ref-type="bibr" rid="ref68">68</xref>,<xref ref-type="bibr" rid="ref70">70</xref>,<xref ref-type="bibr" rid="ref71">71</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Age, gender, knowledge, attitude, field of study (for university students), educational level, employment status, history of having COVID-19, and perceived benefit and susceptibility, among others [<xref ref-type="bibr" rid="ref62">62</xref>,<xref ref-type="bibr" rid="ref64">64</xref>-<xref ref-type="bibr" rid="ref67">67</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Knowledge and attitude [<xref ref-type="bibr" rid="ref62">62</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Age, marital status, knowledge, educational level, attitude, and adherence to infection and control guidelines, among others [<xref ref-type="bibr" rid="ref62">62</xref>,<xref ref-type="bibr" rid="ref71">71</xref>,<xref ref-type="bibr" rid="ref74">74</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table3fn1">
              <p><sup>a</sup>PPE: personal protective equipment.</p>
            </fn>
            <fn id="table3fn2">
              <p><sup>b</sup>Not available.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>Among African HCWs, higher rates of knowledge and attitude regarding the use of PPE were reported in Ethiopia [<xref ref-type="bibr" rid="ref40">40</xref>,<xref ref-type="bibr" rid="ref41">41</xref>] and Egypt [<xref ref-type="bibr" rid="ref42">42</xref>]. However, a lower knowledge rate of PPE use (&#60;30%) was reported in Nigeria, and in the early stages of the pandemic, a large number of frontline HCWs in Tunisia had not received official training on the correct use of PPE as many believed that they needed additional training [<xref ref-type="bibr" rid="ref44">44</xref>]. In Egypt, although a substantial proportion (&#62;80%) of house officers (fresh medical graduates doing their 1-year training in different specialties) had good PPE attitudes, &#60;30% had good preparedness and willingness to participate in COVID-19 management and care [<xref ref-type="bibr" rid="ref42">42</xref>].</p>
        <p>Among other groups, only 3% of patients with chronic conditions such as cancer in Egypt, Algeria, and Morocco knew someone who had a COVID-19 infection, but most were worried about contracting the virus [<xref ref-type="bibr" rid="ref61">61</xref>]. In Ethiopia, although university students had higher rates (&#62;85%) of good attitude toward face mask use, their overall knowledge about mask use was very low (&#60;30%) [<xref ref-type="bibr" rid="ref64">64</xref>], which contrasts with medical students in Uganda with a better knowledge rate and where close to 70% agreed on the superiority of double masking over single masking for COVID-19 prevention and control [<xref ref-type="bibr" rid="ref65">65</xref>]. In Nigeria, &#62;50% of mothers perceived masking in children as not an appropriate preventive measure against COVID-19 because of the perceived difficulty in breathing and discomfort among children [<xref ref-type="bibr" rid="ref66">66</xref>]. Notably, government employees in Ethiopia were reported to have higher rates of good perception of COVID-19 PPMs, whereby approximately 80% perceived consistent mask wearing as highly effective against COVID-19 spread and infection [<xref ref-type="bibr" rid="ref68">68</xref>]. High COVID-19 vulnerability perception was also reported among commercial drivers in Ghana, mostly among older drivers, who consistently wore face masks and insisted on other persons in their vehicles doing the same [<xref ref-type="bibr" rid="ref70">70</xref>]. Similar findings were reported among Ethiopian drivers who had good knowledge and positive attitudes [<xref ref-type="bibr" rid="ref71">71</xref>]. Furthermore, most of the high-risk individuals in Uganda, including market vendors, had received information on face mask use and believed that face masks were protective against COVID-19. Moreover, those who had received information on face mask use were more likely to own face masks and perceive them as protective despite market vendors being more likely to reuse face masks than hospital workers [<xref ref-type="bibr" rid="ref72">72</xref>].</p>
        <p>As possible predictors, educational level, age, income, residence, frequency of PPE practice, PPE attitude, social media exposure, and perceived threat were associated with knowledge and perception of PPMs among the general population, HCWs, and other groups (taxi drivers and government employees) [<xref ref-type="bibr" rid="ref18">18</xref>,<xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref24">24</xref>,<xref ref-type="bibr" rid="ref42">42</xref>,<xref ref-type="bibr" rid="ref43">43</xref>,<xref ref-type="bibr" rid="ref68">68</xref>,<xref ref-type="bibr" rid="ref70">70</xref>,<xref ref-type="bibr" rid="ref71">71</xref>]. Moreover, practice location was notably significantly associated among HCWs [<xref ref-type="bibr" rid="ref43">43</xref>] (<xref ref-type="table" rid="table3">Table 3</xref>).</p>
      </sec>
      <sec>
        <title>Mask Use and Associated Factors</title>
        <p>Among the general public, largely lower adherence rates (range 20.3%-59.4%) of face mask use were reported in various African countries, including Uganda, the Democratic Republic of the Congo, Somalia [<xref ref-type="bibr" rid="ref18">18</xref>,<xref ref-type="bibr" rid="ref27">27</xref>], and Ethiopia [<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref29">29</xref>]. Notably, adherence rates to mask use were reported to be higher (&#62;60%) after the lifting of lockdown restrictions and in countries where mask use was mandatory, such as Mozambique [<xref ref-type="bibr" rid="ref27">27</xref>], Uganda [<xref ref-type="bibr" rid="ref24">24</xref>], Morocco [<xref ref-type="bibr" rid="ref31">31</xref>], and South Africa [<xref ref-type="bibr" rid="ref32">32</xref>]. In addition, reusable cloth masks, which are more cost-beneficial and environmentally friendly, were the most used mask type [<xref ref-type="bibr" rid="ref27">27</xref>]. Interestingly, in South Africa, the prevalence of close others’ mask wearing was reported to affect mask use, and older adults had poor mask use practices despite having a higher mortality risk [<xref ref-type="bibr" rid="ref32">32</xref>]. In addition, the prevalence of mask wearing was noted to have increased substantially (50% to 74%) from May 2020 to August 2020 as COVID-19 cases increased and lockdown restrictions were eased, but staying at home, physical distancing, and social distancing decreased [<xref ref-type="bibr" rid="ref32">32</xref>]. Regarding used mask disposal, poor disposal practices were reported in several African countries, including Morocco, where most threw their used masks and gloves in their house trash or trash bins, posing a transmission risk to sanitary workers or stray animals [<xref ref-type="bibr" rid="ref31">31</xref>].</p>
        <p>Among HCWs, varying rates of PPE use were reported in different regions and countries. Generally, lower rates (&#60;60%) were reported in the Northwest [<xref ref-type="bibr" rid="ref45">45</xref>], Northeast [<xref ref-type="bibr" rid="ref46">46</xref>], Eastern [<xref ref-type="bibr" rid="ref47">47</xref>], and Amhara regions [<xref ref-type="bibr" rid="ref41">41</xref>] of Ethiopia, as well as in Egypt [<xref ref-type="bibr" rid="ref48">48</xref>]. Nevertheless, higher rates (&#62;60%) were reported in Nigeria [<xref ref-type="bibr" rid="ref49">49</xref>], Libya [<xref ref-type="bibr" rid="ref50">50</xref>], and 3 multicountry surveys [<xref ref-type="bibr" rid="ref51">51</xref>-<xref ref-type="bibr" rid="ref53">53</xref>]. The main challenges reported were inadequate PPE and side effects. The lack of PPE and, thus, the reuse of single-use PPE, especially facial protective shields and masks, were reported in several African countries, including Tunisia [<xref ref-type="bibr" rid="ref44">44</xref>], Ethiopia [<xref ref-type="bibr" rid="ref40">40</xref>,<xref ref-type="bibr" rid="ref54">54</xref>], Egypt [<xref ref-type="bibr" rid="ref48">48</xref>], and Nigeria [<xref ref-type="bibr" rid="ref55">55</xref>], and in a multicountry survey including 4 North African countries [<xref ref-type="bibr" rid="ref51">51</xref>].</p>
        <p>Several side effects because of the use of PPE were also reported among African HCWs, including skin problems; heat; thirst; pressure areas; headaches; inability to use the bathroom; extreme exhaustion; discomfort; and reduced vision, concentration, and performance during or after wearing PPE [<xref ref-type="bibr" rid="ref40">40</xref>,<xref ref-type="bibr" rid="ref44">44</xref>,<xref ref-type="bibr" rid="ref51">51</xref>,<xref ref-type="bibr" rid="ref56">56</xref>-<xref ref-type="bibr" rid="ref60">60</xref>]. Moreover, such side effects were associated with longer shift durations, the frequency of use, and medical specialty [<xref ref-type="bibr" rid="ref51">51</xref>,<xref ref-type="bibr" rid="ref58">58</xref>-<xref ref-type="bibr" rid="ref60">60</xref>], and the most affected body areas from wearing PPE were the hands, the auricular area, the nasal bridge, the cheeks, and the whole face [<xref ref-type="bibr" rid="ref52">52</xref>]. Notably, the most reported adverse reactions particularly because of using sanitizers were skin dryness, skin irritation, and ocular irritation [<xref ref-type="bibr" rid="ref40">40</xref>,<xref ref-type="bibr" rid="ref52">52</xref>]. Moreover, bleach immersion was reported to be highly associated with hand reactions, whereas hand cream use more than twice daily was associated with fewer reactions [<xref ref-type="bibr" rid="ref60">60</xref>]. In contrast, a recent multicountry survey that included Egypt indicated that &#62;70% of HCWs had all the PPE and protective measures they needed, &#62;60% had been recently educated on COVID-19 infection control, and none of the interviewed HCWs refrained from using face masks [<xref ref-type="bibr" rid="ref53">53</xref>].</p>
        <p>Among other population groups, strict adherence to face mask use in public areas was reported among patients with cancer in a multicountry survey that included Egypt, Algeria, and Morocco [<xref ref-type="bibr" rid="ref61">61</xref>]. In Ethiopia, &#62;50% of adults with chronic conditions intended to practice and had ever practiced the recommended personal preventive measures against COVID-19 [<xref ref-type="bibr" rid="ref62">62</xref>]. University students in Ethiopia were reported to have a higher adherence rate (&#62;80%) of mask use [<xref ref-type="bibr" rid="ref64">64</xref>]. Furthermore, approximately 20% of medical students in Uganda practiced double masking, where the lack of trust in the quality of masks was the most compelling factor for double masking [<xref ref-type="bibr" rid="ref65">65</xref>]. Nonetheless, excessive sweating, the high cost of face masks, and difficulty in breathing were the major barriers to double masking among these medical students [<xref ref-type="bibr" rid="ref65">65</xref>]. Moreover, poor adherence to mask use was highlighted among quarantined individuals in Ethiopia, where nearly half of them did not wear a face mask when leaving home [<xref ref-type="bibr" rid="ref67">67</xref>]. However, high rates (&#62;80%) of mask use were documented among government employees in Ethiopia [<xref ref-type="bibr" rid="ref68">68</xref>]. Similar findings of high mask use (&#62;70%) were also observed among taxi drivers [<xref ref-type="bibr" rid="ref70">70</xref>] and patrons of convenience shops in Ghana [<xref ref-type="bibr" rid="ref74">74</xref>] but with contrasting observations among commuters and in shopping centers, where less compliance with face mask use was reported [<xref ref-type="bibr" rid="ref69">69</xref>,<xref ref-type="bibr" rid="ref73">73</xref>].</p>
        <p>Adherence to mask use was associated with gender, age, educational level, marital status, working status, profession, place or community of residence, knowledge and attitude, history of having COVID-19, perceived benefit, strictness of containment and health policies, subjective norms, perceived risk, barriers, cues to action, and self-efficacy among the general public, HCWs, and other groups (<xref ref-type="table" rid="table3">Table 3</xref>) [<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref32">32</xref>,<xref ref-type="bibr" rid="ref44">44</xref>-<xref ref-type="bibr" rid="ref49">49</xref>,<xref ref-type="bibr" rid="ref55">55</xref>,<xref ref-type="bibr" rid="ref62">62</xref>,<xref ref-type="bibr" rid="ref64">64</xref>,<xref ref-type="bibr" rid="ref65">65</xref>,<xref ref-type="bibr" rid="ref67">67</xref>,<xref ref-type="bibr" rid="ref70">70</xref>]. Moreover, work experience, medical specialty (being a nurse or midwifery professional), hours of work, previous training on COVID-19 prevention and PPE use, having COVID-19 management guidelines, and ease and safety when using standard precautions were outstanding predictors among HCWs [<xref ref-type="bibr" rid="ref44">44</xref>-<xref ref-type="bibr" rid="ref49">49</xref>,<xref ref-type="bibr" rid="ref55">55</xref>], and the field of study was a strong predictor of mask use among university students [<xref ref-type="bibr" rid="ref64">64</xref>]. Surprisingly, mask use among children in Nigeria was highly dependent on the mother’s opinions and characteristics, whereby it was associated with the mother’s age, the age of the child, and the parental level of education [<xref ref-type="bibr" rid="ref66">66</xref>].</p>
      </sec>
      <sec>
        <title>Social and Physical Distancing and Associated Factors</title>
        <p>Generally, lower adherence rates (range 18%-59%) of social distancing were reported in various African countries, including Egypt [<xref ref-type="bibr" rid="ref21">21</xref>], South Africa [<xref ref-type="bibr" rid="ref28">28</xref>], and Ethiopia [<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref30">30</xref>]. Nonetheless, physical distancing policies disrupted social life and infringed on people’s sociocultural rights, causing adverse socioeconomic and health consequences, especially for low-income urban or suburban slum dwellers [<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref34">34</xref>]. Although the imposition of COVID-19 distancing regulations led to a substantial decrease in extrahousehold social contacts (close physical and conversational contacts) in several African countries, including South Africa, there was ongoing contact within intergenerational households, highlighting a potential limitation of social distancing measures in protecting older adults [<xref ref-type="bibr" rid="ref35">35</xref>]. In contrast, such restrictive policies improved feeding habits through increased meal planning and selection and preparation of healthy foods among residents of various countries [<xref ref-type="bibr" rid="ref36">36</xref>].</p>
        <p>Regarding the implementation and adoption of physical distancing measures, despite the implementation of various mitigation measures, the internally displaced people in Mali still faced several challenges, including the proximity in which internally displaced people live, the lack of toilets and safe water, and the lack of financial resources [<xref ref-type="bibr" rid="ref38">38</xref>]. Similar findings were reported among prisons in Zimbabwe, where there were several challenges in the adoption of COVID-19 PPMs, such as severe congestion, interrupted water supply, outdated infrastructure, and inadequate hygiene and sanitation [<xref ref-type="bibr" rid="ref39">39</xref>]. Moreover, although prisoners had adequate COVID-19 awareness and prison health professionals received training on COVID-19 control measures, PPE supply was inadequate, with no routine COVID-19 testing in place beyond thermal scanning; isolation measures were compromised by accommodation capacity issues; and social distancing was impossible during meals and at night [<xref ref-type="bibr" rid="ref39">39</xref>].</p>
        <p>Among other population groups, strict adherence to social and physical distancing was documented among patients with cancer, and most preferred web-based medical appointments over regular visits. In addition, some adopted healthier diets, used dietary supplements, and recited the Quran or supplications [<xref ref-type="bibr" rid="ref61">61</xref>]. Similar findings of good practice of social distancing were also reported among patients with chronic conditions in Ethiopia [<xref ref-type="bibr" rid="ref62">62</xref>]. Moreover, in Egypt, patients preferred teledermatology services to the usual physical clinic visits as they perceived them as reliable and safe during the pandemic [<xref ref-type="bibr" rid="ref63">63</xref>]. Government employees in Ethiopia also had higher rates (&#62;80%) of good practice of physical distancing [<xref ref-type="bibr" rid="ref68">68</xref>], and the same applied to commuters in Ghana, who had high compliance rates with social distancing guidelines [<xref ref-type="bibr" rid="ref69">69</xref>].</p>
        <p>Adherence to social and physical distancing was associated with gender, age, educational level, working status, place or community of residence, family size, knowledge and attitude, strictness of containment and health policies, perceived risk and barriers, cues to action, and self-efficacy among the general public and other groups (patients with chronic diseases; <xref ref-type="table" rid="table3">Table 3</xref>) [<xref ref-type="bibr" rid="ref20">20</xref>-<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref28">28</xref>-<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref62">62</xref>].</p>
      </sec>
      <sec>
        <title>Handwashing and Hand Hygiene and Associated Factors</title>
        <p>Regarding community adherence to hand hygiene, lower rates (&#60;60%) were reported in 12 sub-Saharan countries, where the likelihood of handwashing mainly varied with the level of concern about COVID-19 [<xref ref-type="bibr" rid="ref33">33</xref>]. In resource-restricted settings, a recent study indicated that &#62;60% of the slum dwellers in Nairobi, Kenya, had limited water, sanitation, and hygiene facility accessibility and opportunity, making adherence to COVID-19 PPMs impossible [<xref ref-type="bibr" rid="ref37">37</xref>].</p>
        <p>Concerning hand hygiene adherence among African HCWs, varying rates were reported in different regions and countries. Generally, lower rates (&#60;60%) were reported in the Northwest [<xref ref-type="bibr" rid="ref45">45</xref>], Northeast [<xref ref-type="bibr" rid="ref46">46</xref>], and Eastern [<xref ref-type="bibr" rid="ref47">47</xref>] regions of Ethiopia. Nevertheless, higher rates (&#62;60%) were reported in Nigeria [<xref ref-type="bibr" rid="ref49">49</xref>], Southwest Ethiopia [<xref ref-type="bibr" rid="ref40">40</xref>], and 2 multicountry surveys [<xref ref-type="bibr" rid="ref52">52</xref>,<xref ref-type="bibr" rid="ref53">53</xref>].</p>
        <p>Regarding other groups, strict adherence to proper hand hygiene was reported among patients with chronic conditions in various African countries, including Egypt, Algeria, Morocco [<xref ref-type="bibr" rid="ref61">61</xref>], and Ethiopia [<xref ref-type="bibr" rid="ref62">62</xref>]. A similar observation was made among government employees [<xref ref-type="bibr" rid="ref68">68</xref>] and taxi drivers [<xref ref-type="bibr" rid="ref71">71</xref>] in Ethiopia, both of whom had higher rates (&#62;60%) of frequent handwashing and hand hygiene as a means of protection against COVID-19. However, poor adherence to COVID-19 safety protocols at shopping centers in Ghana was reported, whereby, although shops complied with providing handwashing facilities, most of the customers did not practice handwashing before entering the shops and did not wear face masks during shopping, and neither did the shop attendants [<xref ref-type="bibr" rid="ref73">73</xref>]. Similarly, a very low rate (10%) of appropriate handwashing was reported among patrons of convenience shops in Accra, Ghana [<xref ref-type="bibr" rid="ref74">74</xref>]. In contrast, an increase in proper handwashing performance was reported among bank visitors in Ethiopia after watching a handwashing demonstration [<xref ref-type="bibr" rid="ref75">75</xref>].</p>
        <p>Handwashing and hand hygiene during the COVID-19 pandemic was associated with gender, age, educational level, marital status, profession, place or community of residence, knowledge and attitude, exposure and adherence to handwashing guidelines, strictness of containment and health policies, type and availability of water sources, and perceived risk and barriers among the general public, HCWs, and other groups (<xref ref-type="table" rid="table3">Table 3</xref>) [<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref45">45</xref>-<xref ref-type="bibr" rid="ref47">47</xref>,<xref ref-type="bibr" rid="ref49">49</xref>,<xref ref-type="bibr" rid="ref62">62</xref>,<xref ref-type="bibr" rid="ref71">71</xref>,<xref ref-type="bibr" rid="ref74">74</xref>,<xref ref-type="bibr" rid="ref75">75</xref>]. Moreover, work experience, medical specialty (being a nurse or midwifery professional), previous training on COVID-19 prevention and PPE use, feedback on safety, having COVID-19 management guidelines, and ease and safety when using standard precautions were notable predictors among HCWs [<xref ref-type="bibr" rid="ref45">45</xref>-<xref ref-type="bibr" rid="ref47">47</xref>,<xref ref-type="bibr" rid="ref49">49</xref>].</p>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>To our knowledge, this is the first systematic review to evaluate PPMs against COVID-19 among various population groups in Africa. This systematic review has important implications as it reflects cognitive behavioral issues (knowledge and practice) regarding PPMs in some African countries during an infectious disease outbreak. Future outbreaks or waves of COVID-19 may force people to use PPMs again. The review used a multidimensional approach involving the systematic evaluation of evidence based on region, country, and population group. Moreover, comprehensive coverage of the literature was attained, and a reproducible search methodology was applied using a predefined framework, all of which are strengths of this review.</p>
        <p>Among the general community, the review showed varying levels of knowledge, attitudes, and perceptions, which in turn influenced the practice levels of and compliance with COVID-19 PPMs, especially face mask use, hand hygiene, and physical and social distancing. This finding is in agreement with a previous study from sub-Saharan Africa [<xref ref-type="bibr" rid="ref15">15</xref>], and similar findings have been reported in other regions where communities’ cognition directly affected the practice and uptake of COVID-19 PPMs [<xref ref-type="bibr" rid="ref76">76</xref>]. Nonetheless, the observed difference in the practice and adherence to PPMs across African countries may be due to the differences in COVID-19 control policies, income (gross domestic product), and the situation of the pandemic among the countries. Notably, the compliance rates of face mask use reported in most African communities were generally lower compared with those reported in studies from high-income countries [<xref ref-type="bibr" rid="ref77">77</xref>,<xref ref-type="bibr" rid="ref78">78</xref>]. This may partly be explained by the inability to afford to buy face masks and the differences in the strictness of such preventive measures [<xref ref-type="bibr" rid="ref22">22</xref>,<xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref79">79</xref>]. Nevertheless, poor adherence to face mask use was also reported in some high-income countries such as Australia, Norway, and Sweden [<xref ref-type="bibr" rid="ref80">80</xref>], the reasons for which may be other than just the inability to afford face masks. Moreover, lower rates of handwashing and hand hygiene were also reported in several African communities, especially among low-income urban and slum dwellers. This was partly due to a lack of safe and clean water in slum communities [<xref ref-type="bibr" rid="ref37">37</xref>]. Moreover, buying soap or hand sanitizers was an additional financial constraint for low-income urban dwellers and, thus, may be seen as a luxury.</p>
        <p>The results indicate a reduction in the rates of PPM practice (mainly mask use and social and physical distancing) noted in several African countries following the lifting of restrictive lockdown measures and the rollout of COVID-19 vaccination programs. This can be partly explained by pandemic fatigue as more people become demotivated and exhausted to follow the recommended infection prevention and control measures owing to the prolonged impact and existence of COVID-19 [<xref ref-type="bibr" rid="ref81">81</xref>]. As COVID-19 PPMs complement the vaccination protective advantage, this implies a need for continued community sensitization and education programs to rectify the reluctance to practice PPMs amid the relaxation of preventive restrictions. Moreover, prompt management of infodemics in the current and future infectious outbreaks is needed to address the misinformation about PPMs [<xref ref-type="bibr" rid="ref82">82</xref>].</p>
        <p>Among African HCWs, generally good knowledge of PPE use was reported but with varying levels of practicing PPMs, and the low practice rates were attributed mainly to the lack of PPE and the side effects of prolonged PPE use. With HCWs being at the frontline of screening and managing suspects and patients with COVID-19, the lack of PPE increases the risk of infection when doing their work. Nonetheless, the lack of PPE has also been documented in other countries and regions outside Africa [<xref ref-type="bibr" rid="ref83">83</xref>]. Furthermore, this review showed that most patients with comorbidities in Africa reported strict adherence to COVID-19 PPMs, which may be due to their perceived high vulnerability to COVID-19 infection and complications. Other studies outside Africa have reported similar findings among patients with comorbidities [<xref ref-type="bibr" rid="ref84">84</xref>,<xref ref-type="bibr" rid="ref85">85</xref>].</p>
        <p>The study findings show that several cognitive (including knowledge, attitude, and perception), demographic, and socioeconomic factors were associated with the practice of and compliance with COVID-19 PPMs among African communities. COVID-19 being a newly evolving disease with varying cross-cutting impacts implies a need for consideration of such cognitive, demographic, and socioeconomic differences in the design of targeted response measures against the pandemic. Nonetheless, similar findings on the association of sociodemographics with the practice of COVID-19 PPMs have been reported in other regions outside Africa [<xref ref-type="bibr" rid="ref80">80</xref>].</p>
        <p>This review has some practical recommendations for improving COVID-19 control programs in Africa. Efforts are needed to improve the local capacity to produce and supply PPE, especially to HCWs, as the lack of PPE was the main barrier to PPE use. In the early phase of the pandemic, most countries were overwhelmed by the increased demand for PPE, which disrupted the global supply chain, and this had dire consequences for countries with inadequate local manufacturing and supply capacity [<xref ref-type="bibr" rid="ref83">83</xref>]. In addition, providing free or subsidized face masks and soap, especially to low-income earners, would be a helpful strategy for improving PPM practice and adherence. Moreover, the consideration of vulnerable groups such as low-income urban dwellers and internally displaced people and targeted responses tailored to their socioeconomic dynamics are paramount for effective pandemic control programs. Knowledge and perception influenced the practice of PPMs, implying a need for continuous infodemic management, community education, and sensitization, and this should be tailored to address the existing misconceptions and barriers to PPM adherence. Notably, although several of the analyzed studies (11/58, 19%) evaluated the association between age and the practice of COVID-19 PPMs and showed varying rates and results, no single study focused on exploring COVID-19 PPMs among the older adult population of Africa. Given the known vulnerability of older people to severe COVID-19, efforts are needed to explore this special group to help fully understand their behavioral response to the pandemic, which is vital for guiding targeted responses.</p>
        <p>The review also reveals substantial inequalities in terms of research output from different regions of Africa, with PPM studies mostly coming from East, West, and North Africa and only 3 countries (Ethiopia, Nigeria, and Egypt) producing &#62;40% (28/58, 48%) of all the studies. This finding coincides with the study by Nwagbara et al [<xref ref-type="bibr" rid="ref15">15</xref>], which showed the dominance of East and West Africa in COVID-19 research. The high PPM research output from North and West Africa could be because they were the first regions to record COVID-19 cases in the continent [<xref ref-type="bibr" rid="ref86">86</xref>]. Although South Africa is known to lead African research with sound and more vibrant research institutions in the continent [<xref ref-type="bibr" rid="ref14">14</xref>], its contribution to COVID-19 PPM research is far lower, as indicated by the study results. Regarding other African countries, the observed pattern may be explained by the differences in research capabilities and resources. Nonetheless, such research inequalities pose gaps in understanding how such countries and regions respond to the COVID-19 pandemic. This implies a need for more focus, funding, and involvement in behavioral health research, which is as important as clinical research and vital in guiding evidence-based and country-specific or tailored policies and responses in addressing the dynamics of the current COVID-19 pandemic.</p>
      </sec>
      <sec>
        <title>Limitations</title>
        <p>This systematic review has some limitations. Although we used a comprehensive keyword search strategy, some relevant studies might have been missed as only 3 databases and only English-language articles were considered. In addition, we did not consider gray literature and preprints in this review; thus, they should be considered in future or updated reviews on PPM practice for a more comprehensive search. Although a comprehensive search was performed, no relevant studies were found from 42 of the 54 African countries; thus, the findings might not provide a comprehensive picture of the knowledge and practice of PPMs across the entire continent. Moreover, the findings and conclusions of this review are based on studies that were mostly web-based surveys, which, although this was inevitable because of the restrictive preventive measures and lockdowns, are prone to selection bias based on internet accessibility. Owing to the self-report nature of these surveys, recall and social desirability bias cannot be overlooked. Moreover, assessments of statistical analyses of associations with the practice of COVID-19 preventive measures, as well as meta-analyses, were not performed as these were not the main focus of this review. Despite these limitations, this study provides valuable insights into the facilitators of and barriers to the practice of PPMs in Africa.</p>
      </sec>
      <sec>
        <title>Conclusions</title>
        <p>This review evaluated the knowledge and practice of COVID-19 PPMs in African countries. The findings, conclusions, and recommendations of this review specifically apply to the included countries and, thus, should be interpreted with caution. The results indicate that African communities, including various population groups, have varying levels of practice and compliance with COVID-19 PPMs, with the lack of PPE (mainly face masks) and side effects of PPE use being the major reasons for poor compliance, especially among HCWs. In addition, various cognitive, sociodemographic, and economic factors were associated with the practice of COVID-19 PPMs. Therefore, this review highlights a need for enhancing the local capacity to produce and supply PPE. The consideration of various cognitive, demographic, and socioeconomic differences, with extra focus on low-income urban dwellers and those who are less advantaged, is vital for inclusive and more effective strategies against the pandemic. Moreover, more focus, involvement, and funding of community behavioral (including protective measures) research is needed to fully understand and address the dynamics of the current pandemic in Africa.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Filled-in PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist.</p>
        <media xlink:href="publichealth_v9i1e44051_app1.docx" xlink:title="DOCX File , 27 KB"/>
      </supplementary-material>
      <supplementary-material id="app2">
        <label>Multimedia Appendix 2</label>
        <p>Quality assessment of the included studies using the Mixed Methods Appraisal Tool—version 2018.</p>
        <media xlink:href="publichealth_v9i1e44051_app2.docx" xlink:title="DOCX File , 36 KB"/>
      </supplementary-material>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">HCW</term>
          <def>
            <p>health care worker</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">PPE</term>
          <def>
            <p>personal protective equipment</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">PPM</term>
          <def>
            <p>personal protective measure</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">PRISMA</term>
          <def>
            <p>Preferred Reporting Items for Systematic Reviews and Meta-Analyses</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>This study was supported by internal funding from the Centre for Health Behaviours Research, Chinese University of Hong Kong.</p>
    </ack>
    <notes>
      <sec>
        <title>Data Availability</title>
        <p>All data generated or analyzed during this study are included in this published paper (and its supplementary information files).</p>
      </sec>
    </notes>
    <fn-group>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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