<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.150775.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Epidemiological profiles and outcomes of healthcare workers hospitalized for COVID-19 in five Sub-Saharan African countries: a cohort study</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved, 2 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Millimouno</surname>
                        <given-names>Tamba Mina</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-4628-1296</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Grovogui</surname>
                        <given-names>Fassou Mathias</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Kourouma</surname>
                        <given-names>Karifa</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Hassan</surname>
                        <given-names>Shermarke</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a4">4</xref>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Kaba</surname>
                        <given-names>Ibrahima</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Kamara</surname>
                        <given-names>Ibrahim Franklyn</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-1454-4650</uri>
                    <xref ref-type="aff" rid="a6">6</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Mbasha</surname>
                        <given-names>Jerry-Jonas</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a7">7</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Collins</surname>
                        <given-names>Timire</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a8">8</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Merson</surname>
                        <given-names>Laura</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-4168-1960</uri>
                    <xref ref-type="aff" rid="a9">9</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Delamou</surname>
                        <given-names>Alexandre</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Africa Center of Excellence for Prevention and Control of Communicable Diseases (CEA-PCMT), Gamal Abdel Nasser University of Conakry, Conakry, Guinea</aff>
                <aff id="a2">
                    <label>2</label>Centre National de Formation et de Recherche en Sant&#x00e9; Rurale de Maferinyah, Forecariah, Guinea</aff>
                <aff id="a3">
                    <label>3</label>Public Health Department, Gamal Abdel Nasser University of Conakry, Conakry, Guinea</aff>
                <aff id="a4">
                    <label>4</label>Infectious Diseases Data Observatory, University of Oxford, Oxford, UK</aff>
                <aff id="a5">
                    <label>5</label>Center for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK</aff>
                <aff id="a6">
                    <label>6</label>Reproductive Maternal Newborn Child and Adolescent Health Unit, Universal Health Coverage/Life Course Cluster, World Health Organization Country Office, Freetown, Sierra Leone</aff>
                <aff id="a7">
                    <label>7</label>World Health Organization, Africa Regional Office, Brazzaville, Congo</aff>
                <aff id="a8">
                    <label>8</label>International Union Against TB and Lung Disease (The Union), Paris, France</aff>
                <aff id="a9">
                    <label>9</label>ISARIC (International Severe Acute Respiratory and emerging Infections Consortium), Pandemic Sciences Institute, University of Oxford, Oxford, UK</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:minamillimouno@gmail.com">minamillimouno@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>18</day>
                <month>6</month>
                <year>2024</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2024</year>
            </pub-date>
            <volume>13</volume>
            <elocation-id>655</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>12</day>
                    <month>6</month>
                    <year>2024</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Millimouno TM et al.</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/3.0/igo/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution IGO Licence.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/13-655/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>The COVID-19 pandemic placed immense strain on global health systems and healthcare workers (HCWs). This study aimed to analyze the epidemiological profiles and outcomes of HCWs hospitalized for COVID-19 across five sub-Saharan African countries.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>This was a cohort study using secondary data collected between January 30, 2020, and December 31, 2022, as part of the International Severe Acute Respiratory and emerging Infection Consortium study. The study population consisted of HCWs who were hospitalized due to clinically suspected or laboratory-confirmed SARS-CoV-2 infection. Demographic and clinical characteristics and case management were summarized using proportions or medians and interquartile ranges. Factors associated with risk of mortality among HCWs were assessed using a Cox proportional hazards model, adjusted for age and sex.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>Findings showed that South Africa recorded a lower percentage (2.4%) of patients who were HCWs compared to Gambia, Ghana, Guinea, and Malawi. Overall, many HCWs were aged &#x2265;50 years and the majority were females (66.8%). In three of the five countries, however, the majority of the HCWs were &lt;39 years old and were males. Antibiotics were the most commonly used medical treatments across three countries (Ghana, 67.8%; Guinea, 97.3%; Malawi, 80%), while antimalarials were commonly used in Guinea (87.8%) and Ghana (30.4%). Guinea and South Africa reported deaths with case-fatality rates varying from 22% in March 2020 to 1.4% in February 2022. Risk factors for mortality included age over 50 years, hypertension, diabetes mellitus, and chronic kidney disease.</p>
                </sec>
                <sec>
                    <title>Conclusions</title>
                    <p>Our study underscores the critical need for continuous protection and enhanced readiness for HCWs, particularly during epidemics and pandemics. Strengthening infection prevention and control measures and focusing on vulnerable groups such as older and female HCWs are essential for mitigating the impact of future health crises. Further research is required to fully comprehend the implications of these findings.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Pandemic</kwd>
                <kwd>COVID-19</kwd>
                <kwd>Healthcare workers</kwd>
                <kwd>Epidemiological profiles</kwd>
                <kwd>Outcomes</kwd>
                <kwd>Sub-Saharan Africa</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="http://dx.doi.org/10.13039/100016285">
                    <funding-source>TDR</funding-source>
                    <award-id>HQTDR2422924_4.1_72863</award-id>
                </award-group>
                <funding-statement>The UK Department of Health &amp; Social Care has contributed designated funding for this &#13;
SORT IT-AMR initiative, which is branded as the NIHR-TDR partnership. TDR grant number HQTDR2422924 _4.1_72863. TDR is able to conduct its work thanks to the commitment and support from a variety of funders. A full list of TDR donors is available at: https://tdr.who.int/about-us/our-donors. </funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <def-list>
            <title>List of abbreviations</title>
            <def-item>
                <term id="G1">CFR</term>
                <def>
                    <p>Case Fatality Rate</p>
                </def>
            </def-item>
            <def-item>
                <term id="G2">CI</term>
                <def>
                    <p>Confidence Interval</p>
                </def>
            </def-item>
            <def-item>
                <term id="G3">COVID-19</term>
                <def>
                    <p>Coronavirus Disease of 2019</p>
                </def>
            </def-item>
            <def-item>
                <term id="G4">EAG</term>
                <def>
                    <p>Ethics Advisory Group</p>
                </def>
            </def-item>
            <def-item>
                <term id="G6">HCW</term>
                <def>
                    <p>Healthcare Worker</p>
                </def>
            </def-item>
            <def-item>
                <term id="G5">HR</term>
                <def>
                    <p>Hazard Ratio</p>
                </def>
            </def-item>
            <def-item>
                <term id="G7">IDDO</term>
                <def>
                    <p>Infectious Diseases Data Observatory</p>
                </def>
            </def-item>
            <def-item>
                <term id="G9">IQR</term>
                <def>
                    <p>Interquartile Range</p>
                </def>
            </def-item>
            <def-item>
                <term id="G8">ISARIC</term>
                <def>
                    <p>International Severe Acute Respiratory and emerging Infections Consortium</p>
                </def>
            </def-item>
            <def-item>
                <term id="G10">MoH</term>
                <def>
                    <p>Ministry of Health</p>
                </def>
            </def-item>
            <def-item>
                <term id="G11">PPE</term>
                <def>
                    <p>Personal Protective Equipment</p>
                </def>
            </def-item>
            <def-item>
                <term id="G12">REDCap</term>
                <def>
                    <p>Research Electronic Data Capture</p>
                </def>
            </def-item>
            <def-item>
                <term id="G13">SARS-CoV-2</term>
                <def>
                    <p>Severe Acute Respiratory Syndrome Coronavirus 2</p>
                </def>
            </def-item>
            <def-item>
                <term id="G14">SORT IT</term>
                <def>
                    <p>Structured Operational Research and Training Initiative</p>
                </def>
            </def-item>
            <def-item>
                <term id="G15">TB</term>
                <def>
                    <p>Tuberculosis</p>
                </def>
            </def-item>
            <def-item>
                <term id="G16">WHO</term>
                <def>
                    <p>World Health Organization</p>
                </def>
            </def-item>
        </def-list>
        <sec id="sec5" sec-type="intro">
            <title>Introduction</title>
            <p>The COVID-19 pandemic burdened health systems and their healthcare workers (HCWs) globally. As of May 2021, the World Health Organization (WHO) reported 179,500 deaths among HCWs due to COVID-19.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> However, HCWs are critical to global health security and their safety during public health emergencies benefits society as a whole.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> Loss of HCWs due to death or ill health has socioeconomic costs to society and may be associated with an increase in secondary infections and excess deaths (e.g., maternal and child death) due to a shortage of skilled staff.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> The fact that HCWs continue to be infected or are a source of infection during public health emergencies proves weaknesses in global preparedness efforts.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
            </p>
            <p>In high-income countries, several studies sought to understand the epidemiological characteristics and outcomes of HCWs infected with COVID-19.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> Those studies reported that the proportion of HCWs infected with COVID-19 ranged between 2.7% and 12.9%. They revealed that infected HCWs were younger and mostly female, and recorded case fatality rates varying between 0.3% and 3.3%. HCWs working in COVID-19 isolation units and treatment centers also had a higher risk of being infected with SARS-CoV-2 than non-HWCs.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
            </p>
            <p>This problem was exacerbated in Sub-Saharan Africa, where there were major gaps in response capacity, including in human resources and protective equipment. As early as November 2020, 
                <ext-link ext-link-type="uri" xlink:href="https://pubmed.ncbi.nlm.nih.gov/?sort=pubdate&amp;size=50&amp;term=Okeahalam+C&amp;cauthor_id=33177146">Okeahalam</ext-link> et al. reported that there was a lack of qualified nursing personnel to help mitigate the effects of the COVID-19 pandemic.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> An assessment of health system preparedness for the COVID-19 pandemic in Guinea in 2020 revealed inadequate preparedness of health facilities and services along with discrepancies in preparedness between public and private health sectors and between locations.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> The study also reported that many HCWs felt unsafe at their workplace concerning workplace exposure to SARS-CoV-2. While data on epidemiological features and COVID-19-related mortality among HCWs have been documented in high-income countries, there is still limited information about this in Sub-Saharan Africa. Some studies highlighted similar patterns in terms of gender and age at risk of COVID-19 infection and variations in the magnitude of the disease among HCWs.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> It is possible that different patterns exist across countries and regions in Sub-Saharan Africa due to various contextual factors such as the status of the health system and experience with previous epidemics. This means that there is still a knowledge gap as current studies do not provide a larger picture of epidemiological features and outcomes among HCWs who contracted COVID-19 in Sub-Saharan Africa. Hence, our study aimed to fill this existing knowledge gap and to inform pandemic preparedness efforts in Sub-Saharan countries.</p>
            <p>The main objective of this study therefore was to analyze the epidemiological profiles and outcomes of HCWs hospitalized for COVID-19 in five countries in Sub-Saharan Africa from January 2020 to December 2022. Specifically, we described demographic and clinical characteristics on admission, the case management, and hospital exit outcomes among HCWs, and we assessed their risk factors for death.</p>
        </sec>
        <sec id="sec6" sec-type="methods">
            <title>Methods</title>
            <sec id="sec7">
                <title>Study design</title>
                <p>We conducted a cohort study involving secondary data collected as part of the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC).</p>
            </sec>
            <sec id="sec8">
                <title>Setting</title>
                <p>
                    <bold>
                        <italic toggle="yes">General setting</italic>
                    </bold>
                </p>
                <p>
                    <italic toggle="yes">Sub</italic>-
                    <italic toggle="yes">Saharan Africa</italic> covers 51 countries on the African continent that lie south of the Sahara. It had an estimated population of 1.2 billion inhabitants in 2023.
                    <sup>
                        <xref ref-type="bibr" rid="ref19">19</xref>
                    </sup> The first case of COVID-19 in Sub-Saharan Africa was reported on January 28, 2020 in Nigeria.
                    <sup>
                        <xref ref-type="bibr" rid="ref20">20</xref>
                    </sup> As of July 12, 2023, about 5.8 million confirmed COVID-19 cases in Sub-Saharan Africa had been reported to the WHO, representing 40% of all COVID-19 confirmed cases in Africa.
                    <sup>
                        <xref ref-type="bibr" rid="ref21">21</xref>
                    </sup> As of the same date, 86.5 thousand COVID-19 deaths in Sub-Saharan Africa were reported to WHO, representing 49% of COVID-19 deaths in Africa.
                    <sup>
                        <xref ref-type="bibr" rid="ref21">21</xref>
                    </sup>
                </p>
                <p>
                    <bold>
                        <italic toggle="yes">Specific setting</italic>
                    </bold>
                </p>
                <p>All Sub-Saharan countries that reported COVID-19 data to ISARIC, and where HCWs were affected by the disease based on the reported data, were considered for the current study. These included Guinea, Gambia, Ghana, Malawi, and South Africa (
                    <xref ref-type="fig" rid="f1">Figure 1</xref>). COVID-19 preparedness and response were organized differently in these countries. In some countries, the response to the pandemic was led by an agency of the Ministry of Health (MoH), such as the National Agency for Health Security (Guinea), Ghana Health Service (Ghana), and in others they were led by the MoH itself (Gambia, Malawi, and South Africa). In the early phase of the pandemic, WHO set up guidelines with progressive updates for the clinical management of COVID-19, that were adopted by countries.
                    <sup>
                        <xref ref-type="bibr" rid="ref22">22</xref>
                    </sup>
                </p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1.</label>
                    <caption>
                        <title>&#x00a0;Countries included in the study on epidemiological profiles and outcomes of HCWs hospitalized for COVID-19 in Sub-Saharan Africa, from January 2020 to December 2022.</title>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/165373/423d9ca2-a9f5-495d-9b55-26535b03fc1f_figure1.gif"/>
                </fig>
            </sec>
            <sec id="sec9">
                <title>Study population and period</title>
                <p>The study population consisted of HCWs from Guinea, Gambia, Ghana, Malawi, and South Africa who were hospitalized due to clinically suspected or laboratory-confirmed SARS-CoV-2 infection between 30 January 2020 and 31 December 2022.</p>
            </sec>
            <sec id="sec10">
                <title>Variables and source of data</title>
                <p>Data had already been collected as part of the ISARIC study, an international prospective observational study on demographics, clinical features, and outcomes of patients admitted to hospitals with COVID-19. Data variables included demographic and clinical characteristics of HCWs on admission (age, gender, year of hospital admission, country of residence, diagnosis, duration of hospitalization and comorbidities), variables on case management during hospitalization (medical treatment received: agents acting on the renin-angiotensin system, antibacterials, non-steroidal anti-inflammatory and antirheumatic products, antimalarials, antimycotics, antivirals, and corticosteroids; and admission to intensive care unit), and hospital exit outcome variables (death).</p>
            </sec>
            <sec id="sec11">
                <title>Data collection and validation</title>
                <p>Data were collected as part of the ISARIC-WHO Clinical Characterisation Protocol contributing to a central repository at the University of Oxford, England. Participating sites used the ISARIC-WHO case report form to enter data onto a Research Electronic Data Capture (
                    <ext-link ext-link-type="uri" xlink:href="https://www.project-redcap.org/">REDCap</ext-link>, version 8.11.11, Vanderbilt University, Nashville, TN) database or used local databases before uploading to the central data repository (
                    <ext-link ext-link-type="uri" xlink:href="https://getodk.org/">Open Data Kit</ext-link> is a suitable open access alternative). Centrally collated data were wrangled and mapped to the structure and controlled terminologies of the 
                    <ext-link ext-link-type="uri" xlink:href="https://www.cdisc.org/standards/foundational/sdtm">Study Data Tabulation Model</ext-link>, version 1.7, Clinical Data Interchange Standards Consortium, Austin, TX) using 
                    <ext-link ext-link-type="uri" xlink:href="https://www.alteryx.com/about-us/trifacta-is-now-alteryx-designer-cloud">Trifacta</ext-link> software (
                    <ext-link ext-link-type="uri" xlink:href="https://openrefine.org/">OpenRefine</ext-link> is a suitable open access alternative 
                    <ext-link ext-link-type="uri" xlink:href="https://openrefine.org/">https://openrefine.org/</ext-link>). The data collection, aggregation, curation and harmonization process have been described previously.
                    <sup>
                        <xref ref-type="bibr" rid="ref23">23</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec12">
                <title>Data analysis and statistics</title>
                <p>We imported the datasets (in MS Excel format) into 
                    <ext-link ext-link-type="uri" xlink:href="https://www.r-project.org/">R</ext-link> software (R: The R Project for Statistical Computing), version 4.3.2. We summarized the demographic and clinical characteristics of HCWs and the case management of HCWs by country. Descriptive statistics were reported as proportions or medians with interquartile range (IQR). For the countries that recorded deaths, the monthly case-fatality rate (CFR) over time was shown visually in a line plot.</p>
                <p>We assessed the association between demographic and clinical characteristics and the risk of mortality among HCWs using a Cox proportional hazards model, adjusted for age and sex. The strength of associations was measured using hazard ratios (HR) and their 95% confidence intervals (CI). The result was reported visually as a forest plot.</p>
            </sec>
            <sec id="sec13">
                <title>Ethical considerations</title>
                <p>Execution of the ISARIC-WHO Clinical Characterisation Protocol was approved by the WHO Ethics Review Committee (RPC571 and RPC572, 25 April 2013) and by local or national Ethics Committees for participating sites. Approvals included the Witwatersrand in South Africa as part of a national surveillance program (M160667), which represents the majority of the data. Written consent for patient data to be collected and used in research, was obtained or waived according to local norms determined by the responsible Ethics Committee. The data were collected using the ISARIC-WHO case report form. Arrangements surrounding the pooling, storage, curation and sharing of these data are covered by the Infectious Diseases Data Observatory (IDDO) Governance processes. Execution of this secondary analysis was approved by the Ethics Advisory Group (EAG) of the International Union against Tuberculosis and Lung Disease, Paris, France (EAG approval number 19/23 of 08/09/2023).</p>
                <p>All data were deidentified and ensured of low risk for identification of individuals by a statistical disclosure process before sharing. Data were shared under a Data Access Agreement following approval from the IDDO Data Access Committee. The dataset used in the analysis will be destroyed by the study team following publication but remain available for access via the IDDO platform.</p>
            </sec>
        </sec>
        <sec id="sec14" sec-type="results">
            <title>Results</title>
            <p>There were 482,457 patients hospitalized for COVID-19 in five Sub-Saharan African countries (Guinea, Gambia, Ghana, Malawi, and South Africa) who had information on HCW status. Overall, 11,421 out of 482,457 (2.4%) patients were HCWs. The percentage of patients who were HCWs was 4% in Ghana (99 out of 2,494), 3.3% in Guinea (76 out of 2,294), 17.5% in Gambia (7 out of 40), 2.9% in Malawi (10 out of 340) and 2.4% in South Africa (11,229 out of 477,289).</p>
            <sec id="sec15">
                <title>Patients&#x2019; demographic and clinical characteristics and treatment comorbidities</title>
                <p>
                    <xref ref-type="table" rid="T1">Table 1</xref> depicts the patients&#x2019; demographic and clinical characteristics. Overall, most COVID-19-affected HCWs were aged &#x2265;50 years with a median age equal to 50 years (IQR: 39-59); however, patients were mostly younger (&lt;39 years) in Gambia (42.9%), Ghana (67.7%), and Guinea (51.3%). Overall, patients were mainly female (66.8%); however, they were mostly male in Gambia (71.4%), Guinea (52.6%), and Malawi (70%). In our database, the SARS-CoV-2-infected HCWs were mostly hospitalized in 2020 in three countries, namely Gambia (71.4%), Ghana (85.9%), and Guinea (53.9%). The overall duration of hospitalization in the five countries was less than 30 days for most patients (96%) with a median duration of 7 days (range 4 to 11) (
                    <xref ref-type="table" rid="T1">Table 1</xref>).</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>Table 1. </label>
                    <caption>
                        <title>Demographic and clinical characteristics of healthcare workers hospitalized for COVID-19 stratified by country in five Sub-Saharan African countries from January 2020 to December 2022.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Countries</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Gambia</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Ghana</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Guinea</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Malawi</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">South Africa</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Overall</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Characteristics</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n=7 (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n=99 (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n=76 (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n=10 (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n=11229 (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">N=11421 (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Age in years</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;39</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (42.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">67 (67.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">39 (51.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (10.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2898 (25.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3008 (26.3)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">40-49</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (28.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">13 (13.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11 (14.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5 (50.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2614 (23.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2645 (23.2)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">50 and over</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (28.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">19 (19.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">26 (34.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4 (40.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5717 (50.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5768 (50.5)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Median age (IQR) in years</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">40.0 (33.0, 50.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">34.0 (28.0, 45.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">39.0 (30.0, 55.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">46.5 (41.0, 53.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">50.0 (39.0, 59.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">50.0 (39.0, 59.0)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Gender</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (28.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">60 (60.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">36 (47.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (30.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7526 (67.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7627 (66.8)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5 (71.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">39 (39.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">40 (52.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (70.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3702 (33.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3793 (33.2)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Year of hospital admission</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2020</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5 (71.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">85 (85.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">41 (53.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (30.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5910 (52.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6044 (52.9)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2021</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (28.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">14 (14.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">35 (46.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4 (40.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4582 (40.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4637 (40.6)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2022</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (30.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">737 (6.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">740 (6.5)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Diagnosis</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">PCR confirmed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">99 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">76 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10890 (97.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11082 (97.0)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Clinically diagnosed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">339 (3.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">339 (3.0)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Duration of hospitalization in days</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">30 days or less</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">91 (98.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">70 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10733 (96.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10910 (96.0)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Over 30 days</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (1.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">452 (4.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">453 (4.0)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Median duration of hospitalization (IQR)</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.50 (6.00, 7.00)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.0 (2.00, 17.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9.00 (8.00, 10.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.0 (8.00, 10.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7.00 (4.00, 11.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7.00 (4.00, 11.0)</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>IQR: Interquartile Range; PCR: Polymerase Chain Reaction.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>
                    <xref ref-type="table" rid="T2">Table 2</xref> presents the comorbidities of patients. In all five countries, a minority of patients (between 1.1% and 37.5%) had comorbidities, such as chronic cardiac disease, hypertension, asthma, chronic pulmonary disease, chronic kidney disease, HIV, cancer and tuberculosis. The most common comorbidities in the overall study population were hypertension (37%) followed by diabetes mellitus (18.5%), asthma (6.1%) and HIV-infection (4.7%) (
                    <xref ref-type="table" rid="T2">Table 2</xref>).</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>Table 2. </label>
                    <caption>
                        <title>Treatment comorbidities among healthcare workers hospitalized for COVID-19 stratified by country in five countries in Sub-Saharan Africa between January 2020 to December 2022.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Countries</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Gambia</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Ghana</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Guinea</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Malawi</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">South Africa</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Overall</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Comorbidities</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n=7 (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n=99 (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n=76 (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n=10 (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n=11229 (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">N=11421 (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Chronic cardiac disease</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">87 (98.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">75 (98.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6 (66.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8955 (98.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9129 (98.0)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (1.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (1.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (33.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">182 (2.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">187 (2.0)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Hypertension</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4 (80.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">72 (81.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">62 (81.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (50.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5867 (62.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6008 (63.0)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (20.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">16 (18.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">14 (18.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (50.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3498 (37.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3532 (37.0)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Asthma</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">86 (98.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">74 (97.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5 (62.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8629 (93.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8800 (93.9)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (1.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (2.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (37.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">566 (6.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">572 (6.1)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Chronic pulmonary disease</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">87 (98.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">75 (98.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8967 (98.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9143 (98.5)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (1.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (1.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">139 (1.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">141 (1.5)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Chronic kidney disease</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">87 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">76 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9063 (99.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9239 (99.4)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">55 (0.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">55 (0.6)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Tuberculosis</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">NA</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">76 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9024 (98.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9115 (98.6)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">NA</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">130 (1.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">130 (1.4)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>HIV</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">87 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">76 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6 (75.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8670 (95.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8846 (95.3)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (25.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">439 (4.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">441 (4.7)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Cancer</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">86 (98.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">76 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9041 (99.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9218 (99.5)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (1.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">49 (0.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">50 (0.5)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Diabetes mellitus (any type)</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">95 (96.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">69 (91.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8 (81.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9282 (81.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9459 (81.5)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4 (4.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (9.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (18.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2124 (18.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2148 (18.5)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Obesity</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">87 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">74 (97.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10636 (94.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10635 (94.9)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (2.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">593 (5.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">594 (5.1)</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>NA: Not Available; HIV: Human Immunodeficiency Virus.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec16">
                <title>Treatment received</title>
                <p>
                    <xref ref-type="table" rid="T4">Table 3</xref> shows the treatments received by patients and their exit outcomes. The medical treatments most commonly used in 3/5 countries were antibiotics, (80%); they were used less often in South Africa (7.8%) and not administered in the Gambia. In Ghana, the main medical treatments were antibiotics (67.8%) followed by antimalarials (30.4%). In Guinea, the main medical treatments were antibiotics (97.3%), antimalarials (87.8%), and corticosteroids (12.5%). In Malawi, the main medical treatments were antibiotics (80%), corticosteroids (60%), and non-steroidal anti-inflammatory and antirheumatic products (50%). In South Africa, the main medical treatments were antibiotics (7.8%) and corticosteroids (7.4%).</p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>Table 3. </label>
                    <caption>
                        <title>Type of medical treatment received and exit outcomes among healthcare workers hospitalized for COVID-19 stratified by country in five countries in Sub-Saharan Africa between January 2020 to December 2022.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Countries</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Gambia</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Ghana</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Guinea</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Malawi</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">South Africa</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Overall</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Type of treatment</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n=7 (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n=99 (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n=76 (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n=10 (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n=11229 (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">N=11421 (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Agents acting on renin-angiotensin system</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">73 (92.4.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">32 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">NA</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11167 (99.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11277 (99.4)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6 (7.6.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">NA</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">60 (0.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">66 (0.6)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Antibiotics</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">29 (32.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (2.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (20.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10358 (92.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10398 (91.1)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">61 (67.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">73 (97.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8 (80.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">871 (7.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1013 (8.9)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Anti-inflammatory and antirheumatic products (excl. steroids)</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">73 (93.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">31 (96.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (50.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11075 (98.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11189 (98.6)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5 (6.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (3.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (50.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">152 (1.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">161 (1.4)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Antimalarials</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">55 (69.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9 (12.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3204 (99.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3285 (96.6)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">24 (30.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">65 (87.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">26 (0.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">115 (3.4)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Antimycotics</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">77 (98.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">32 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9 (90.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11215 (99.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11340 (99.9)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (1.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (10.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">14 (0.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">16 (0.1)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Antivirals</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">78 (97.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">29 (90.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8 (80.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10998 (97.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11120 (97.9)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (2.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (9.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (20.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">231 (2.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">238 (2.1)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Corticosteroids</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">76 (97.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">28 (87.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4 (40.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10400 (92.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10515 (92.6)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (2.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4 (12.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6 (60.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">829 (7.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">841 (7.4)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Required ICU admission</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">59 (96.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">74 (97.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9771 (87.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9920 (87.1)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (3.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (2.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1458 (13.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1463 (12.9)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Died</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">99 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">71 (93.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9828 (87.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10015 (87.7)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5 (6.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1401 (12.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1406 (12.3)</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>NA: Not Applicable; ICU: Intensive Care Unit.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec17">
                <title>Case fatality rate and effects of demographic characteristics and comorbidities on mortality among HCWs</title>
                <p>Deaths were recorded in two out of the five countries, namely Guinea (CFR: 6.6%) and South Africa (CFR: 12.5%) (
                    <xref ref-type="table" rid="T4">Table 3</xref>). 
                    <xref ref-type="fig" rid="f2">Figure 2</xref> highlights the combined CFR among patients in Guinea and South Africa over time. Overall, CFR varied between 22% in March 2020 and 1.4% in February 2022, with sharp increases in December 2020 (19%) and July 2021 (19%).</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>Figure 2. </label>
                    <caption>
                        <title>Case fatality rate over time among HCWs hospitalized for COVID-19 in Guinea and South Africa (combined) from January 2020 to December 2022.</title>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/165373/423d9ca2-a9f5-495d-9b55-26535b03fc1f_figure2.gif"/>
                </fig>
                <p>
                    <xref ref-type="fig" rid="f3">Figure 3</xref> depicts the associations of age, gender, and several comorbidities with risk of death among HCWs with COVID-19. The following characteristics were significantly associated with an increased risk of death among hospitalized HCWs: age over 50 years [HR 2.1 (1.85, 2.39)], hypertension [1.18 (1.05, 1.32)], diabetes mellitus [1.57 (1.4, 1.76)] and chronic kidney disease [1.95 (1.13, 3.38)].</p>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>Figure 3. </label>
                    <caption>
                        <title>Effect of demographic characteristics and comorbidities on mortality among HCWs hospitalized for COVID-19 in Guinea and South Africa (combined) from January 2020 to December 2022.</title>
                    </caption>
                    <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/165373/423d9ca2-a9f5-495d-9b55-26535b03fc1f_figure3.gif"/>
                </fig>
            </sec>
        </sec>
        <sec id="sec18" sec-type="discussion">
            <title>Discussion</title>
            <p>Our study contributes to the limited body of research examining the clinical characteristics, case management, and health outcomes of HCWs who were hospitalized after being infected with SARS-CoV-2 in Sub-Saharan Africa. The study enrolled patients from five sub-Saharan countries (Guinea, Gambia, Ghana, Malawi, and South Africa).</p>
            <p>We found that South Africa recorded a lower percentage (2.4%) of patients who were HCWs compared to the other four countries, likely due to the nature of the South African data collection as a national hospital surveillance study, in contrast to the more focused, higher tier care facilities recruiting patients in the other countries. Overall, HCWs hospitalized with COVID-19 were mostly over 50 years and female. In 3 out of 5 countries, however, the majority were younger (Gambia, Guinea, and Ghana) and male (Gambia, Guinea, and Malawi); antibiotics were the most commonly used medical treatments across three countries (Ghana, Guinea, and Malawi), while antimalarials were prevalent in Guinea and Ghana. Guinea and South Africa reported deaths with CFR varying between 22% in March 2020 and 1.4% in February 2022 and risk factors associated with increased mortality included age over 50 years, hypertension, diabetes mellitus, and chronic kidney disease.</p>
            <p>In addition to the sampling and recruitment methods, several other factors could have contributed to the lower rate of HCWs affected by COVID-19 in South Africa compared to the other four countries. For example, there may have been more stringent infection control measures in healthcare settings, including adequate provision of personal protective equipment (PPE), appropriate training on infection prevention and control, strong adherence to safety measures, and access to healthcare infrastructure and resources, including hospital capacity, staffing levels, and access to resources. Many studies have already reported on these factors playing a role in preventing HCWs from SARS-CoV-2 infection.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup> However, Guinea has experienced previous epidemics (e.g., Ebola virus disease in 2013-2016 and 2022) and learnt from them
                <sup>
                    <xref ref-type="bibr" rid="ref29">29</xref>
                </sup>; thus, the proportion of HWCs among COVID-19 patients may be expected to be lower, bringing it closer to that of South Africa. The experience of South Africa and Guinea with preparedness for the Ebola epidemic
                <sup>
                    <xref ref-type="bibr" rid="ref30">30</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref32">32</xref>
                </sup> might have also played a role in the observed findings. Nevertheless, the observed situation can be complex and influenced by various interrelated factors, including public health interventions, healthcare system capacity, and the overall epidemiological landscape of each country. Thus, additional research would be needed to provide a comprehensive understanding of why South Africa had a lower percentage of HCWs contracting COVID-19 compared to data collected in other countries.</p>
            <p>Overall, patients were predominantly older and female. This predominance of infection among older HCWs might be related to their higher exposure to infected patients because of their experience and seniority,
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref33">33</xref>
                </sup> particularly those working in high-risk settings such as inpatient and nursing homes.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref34">34</xref>
                </sup> When it comes to gender, 
                <bold>higher representation of women in frontline role</bold>s, especially in patient-centric roles, such as nursing
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref34">34</xref>
                </sup> and maternal healthcare,
                <sup>
                    <xref ref-type="bibr" rid="ref35">35</xref>
                </sup> might play a role in them being more exposed and getting more infected with SARS-CoV-2. In both older and female HCWs, the increased prevalence of infection might also be accentuated by the lack of training on infection and prevention control,
                <sup>
                    <xref ref-type="bibr" rid="ref36">36</xref>
                </sup> and l
                <bold>imited access to PPE or</bold> inconsistent use of PPE or improperly-fitted PPE.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref33">33</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref34">34</xref>
                </sup>
            </p>
            <p>Our findings align with those of a worldwide systematic review on infection and mortality of HCWs from COVID-19 which revealed that infections occurred mostly in women (71.6%, n=14,058) and older individuals.
                <sup>
                    <xref ref-type="bibr" rid="ref37">37</xref>
                </sup> Similarly, our results are supported by a first report from a living systematic review and meta-analysis on risk factors for COVID-19 infection among HCWs.
                <sup>
                    <xref ref-type="bibr" rid="ref38">38</xref>
                </sup> The review showed that female HCWs were at 11% higher risk of COVID-19 than their male counterparts, but it failed to provide underlying reasons and mechanisms. Therefore, further studies addressing sex and gender disparities in COVID-19 infection among HCWs are encouraged to generate evidence-based recommendations for decision-making. In contrast, in the general population, the existing literature on sex and gender differences in COVID-19 infection shows a higher risk of severe infection in men compared with women.
                <sup>
                    <xref ref-type="bibr" rid="ref39">39</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref41">41</xref>
                </sup>
            </p>
            <p>Overall, the CFR fluctuated between 22% in March 2020 and 1.4% in February 2022. Notably, a sharp rise in CFR was observed in December 2020 (19%) and July 2021 (19%). These increases overlapped with the second wave of the pandemic in South Africa, which was characterized by the prevalence of the Beta variant which dominated new infections between October 18, 2020, to April 30, 2021.
                <sup>
                    <xref ref-type="bibr" rid="ref42">42</xref>
                </sup> Our analysis suggests that HCWs faced increased challenges related to the severity of the pandemic within the broader population, highlighting their vulnerability and the need for improved resilience and adaptive responses. Consequently, health systems must learn from their experiences (and from others&#x2019; experiences) during the COVID-19 pandemic and enhance their preparedness and responsiveness for future health crises.
                <sup>
                    <xref ref-type="bibr" rid="ref29">29</xref>
                </sup>
            </p>
            <p>We found that being over 50 years of age, being male, and having certain comorbidities was associated with a higher risk of death among HCWs in Guinea and South Africa. Overall, these results corroborate the existing literature on risk factors for mortality in COVID-19 patients in sub-Saharan Africa,
                <sup>
                    <xref ref-type="bibr" rid="ref43">43</xref>
                </sup> specifically in Guinea
                <sup>
                    <xref ref-type="bibr" rid="ref44">44</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref45">45</xref>
                </sup> and in South Africa.
                <sup>
                    <xref ref-type="bibr" rid="ref46">46</xref>
                </sup> However, our findings are contrary to those of a previous study regarding gender in South Africa; this study revealed that patients with a higher risk of death were mostly of female gender (beyond being aged 60 years or older and having comorbidities). However, that South African study only dealt with deaths within the first 24 hours.
                <sup>
                    <xref ref-type="bibr" rid="ref47">47</xref>
                </sup> Hence, additional research is required to elucidate gender discrepancies concerning the risk of mortality among COVID-19 patients in South Africa.</p>
            <p>Even though COVID-19 infection is a viral infection, we observed a higher usage of antibiotics among HCWs, except in South Africa. Similar findings were seen in a study conducted in Sierra Leone among suspected and confirmed COVID-19 patients admitted to isolation units and treatment centers.
                <sup>
                    <xref ref-type="bibr" rid="ref48">48</xref>
                </sup> This suggests that both HCWs and non-HCWs were given antibiotics in the management of viral infection. This calls for effective implementation and supervision of case management guidelines during infectious disease outbreaks as all national and international guidelines did not recommend widespread use of antibiotics.</p>
            <sec id="sec19">
                <title>Limitations</title>
                <p>This study is subject to certain limitations. The main limitation is that the sample sizes of all countries except South Africa are very limited, restricting our study to descriptive analyses. Given the small sample sizes, we were thus unable to delineate specific patterns on a country-by-country basis, such as CFR. Disease classification used did not allow us to ascertain COVID-19 disease severity among HCWs. We reported exit outcomes for only two countries.</p>
            </sec>
        </sec>
        <sec id="sec20" sec-type="conclusions">
            <title>Conclusions</title>
            <p>The results of our study underscore the necessity for continuous support of HCWs, especially during epidemics and pandemics. Similarly, they emphasize the importance of enhancing countries' readiness for health crises and improving Infection Prevention Control measures among HCWs, with a particular focus on older and female individuals. Additional research would be needed to provide a comprehensive understanding of the findings of this study.</p>
        </sec>
    </body>
    <back>
        <sec id="sec23" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec24">
                <title>Underlying data</title>
                <p>All individual patient data are available for access. Researchers may request access to data by submitting an application (
                    <ext-link ext-link-type="uri" xlink:href="https://www.iddo.org/document/covid-19-data-access-application-form">https://www.iddo.org/document/covid-19-data-access-application-form</ext-link>) to 
                    <email xlink:href="mailto:covid-19@iddo.org">covid-19@iddo.org</email>. Decisions on all applications are made by an independent Data Access Committee who review applications for compliance with the Data Access Guidelines of the COVID-19 platform available at 
                    <ext-link ext-link-type="uri" xlink:href="https://www.iddo.org/document/iddo-data-access-guidelines">https://www.iddo.org/document/iddo-data-access-guidelines
</ext-link>. Requirements include scientific value and validity, plans for collaboration and knowledge sharing, a lack of ethical concerns, and researcher status to deliver the work. All approved applications are publicly available (
                    <ext-link ext-link-type="uri" xlink:href="https://www.iddo.org/covid19/research/approved-uses-platform-data">https://www.iddo.org/covid19/research/approved-uses-platform-data
</ext-link>).</p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgements</title>
            <p>This research was conducted through the Structured Operational Research and Training Initiative (SORT IT), a global partnership coordinated by TDR, the Special Programme for Research and Training in Tropical Diseases at the World Health Organization. The specific SORT IT program that led to this publication included a partnership of TDR with the WHO Country Office in Ghana and was implemented along with The Tuberculosis Research and Prevention Center Non-Governmental Organization, Armenia; The International Union Against Tuberculosis and Lung Diseases, Paris and South East Asia offices; Medecins Sans Fronti&#x00e8;res &#x2013; Luxembourg, Luxembourg; ICMR&#x2013;National Institute of Epidemiology, Chennai, India; Institute of Tropical Medicine, Antwerp, Belgium; the University of Washington, USA, John Hopkins University, Baltimore, USA, Jawaharlal Institute of Postgraduate Medical Education &amp; Research (JIPMER); Stellenbosch University, Capetown, South Africa; CSIR water institute, Accra, Ghana; Kitampo Health Research Center, Accra, Ghana; Environmental Protection Agency, Accra Ghana, Medwise solutions consultancy, Nairobi, Kenya; Institute of Statistics, Social and Economics Research, Accra, Ghana.</p>
            <p>The views expressed in this article are those of the authors and do not necessarily reflect those of their affiliated institutions. The use of the WHO logo is not permitted.</p>
        </ack>
        <ref-list>
            <title>References</title>
            <ref id="ref1">
                <label>1</label>
                <mixed-citation publication-type="other">
                    <collab>World Health Organization</collab>:
                    <source>

                        <italic toggle="yes">The impact of COVID-19 on health and care workers: a closer look at deaths.</italic>
</source>
                    <publisher-loc>Geneva, Switzerland</publisher-loc>:<year>2021 [cited 2022 Dec 2]</year>.</mixed-citation>
            </ref>
            <ref id="ref2">
                <label>2</label>
                <mixed-citation publication-type="book">
                    <collab>The World Bank</collab>:
                    <source>

                        <italic toggle="yes">The Economic Burden of COVID-19 Infections amongst Health Care Workers.</italic>
</source>
                    <publisher-name>The World Bank</publisher-name>;<year>2023 [cited 2024 Mar 2]</year>.</mixed-citation>
            </ref>
            <ref id="ref3">
                <label>3</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Wilkason</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Lee</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sauer</surname>
                            <given-names>LM</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Assessing and Reducing Risk to Healthcare Workers in Outbreaks.</article-title>
                    <source>

                        <italic toggle="yes">Heal. Secur.</italic>
</source>
                    <year>2020</year>;<volume>18</volume>(<issue>3</issue>):<fpage>205</fpage>&#x2013;<lpage>211</lpage>.
                    <pub-id pub-id-type="doi">10.1089/hs.2019.0131</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref4">
                <label>4</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Koontalay</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Suksatan</surname>
                            <given-names>W</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Prabsangob</surname>
                            <given-names>K</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Healthcare Workers&#x2019; Burdens During the COVID-19 Pandemic: A Qualitative Systematic Review.</article-title>
                    <source>

                        <italic toggle="yes">J. Multidiscip. Healthc.</italic>
</source>
                    <year>2021</year>;<volume>14</volume>:<fpage>3015</fpage>&#x2013;<lpage>3025</lpage>.
                    <pub-id pub-id-type="pmid">34737573</pub-id>
                    <pub-id pub-id-type="doi">10.2147/JMDH.S330041</pub-id>
                    <pub-id pub-id-type="pmcid">PMC8558429</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref5">
                <label>5</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Chou</surname>
                            <given-names>R</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Dana</surname>
                            <given-names>T</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Buckley</surname>
                            <given-names>DI</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Epidemiology of and Risk Factors for Coronavirus Infection in Health Care Workers: a living rapid review.</article-title>
                    <source>

                        <italic toggle="yes">Ann. Intern. Med.</italic>
</source>
                    <year>2020</year>;<volume>173</volume>(<issue>2</issue>):<fpage>120</fpage>&#x2013;<lpage>136</lpage>.
                    <pub-id pub-id-type="pmid">32369541</pub-id>
                    <pub-id pub-id-type="doi">10.7326/M20-1632</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7240841</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref6">
                <label>6</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Lin</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Deng</surname>
                            <given-names>X</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ryan</surname>
                            <given-names>I</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>COVID-19 Symptoms and Deaths among Healthcare Workers, United States.</article-title>
                    <source>

                        <italic toggle="yes">Emerg. Infect. Dis.</italic>
</source>
                    <year>2022</year>;<volume>28</volume>(<issue>8</issue>):<fpage>1624</fpage>&#x2013;<lpage>1641</lpage>.
                    <pub-id pub-id-type="pmid">35798004</pub-id>
                    <pub-id pub-id-type="doi">10.3201/eid2808.212200</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9328912</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref7">
                <label>7</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Ran</surname>
                            <given-names>L</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chen</surname>
                            <given-names>X</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Wang</surname>
                            <given-names>Y</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Risk Factors of Healthcare Workers with Coronavirus Disease 2019: A Retrospective Cohort Study in a Designated Hospital of Wuhan in China.</article-title>
                    <source>

                        <italic toggle="yes">Clin. Infect. Dis.</italic>
</source>
                    <year>2020</year>;<volume>71</volume>(<issue>16</issue>):<fpage>2218</fpage>&#x2013;<lpage>2221</lpage>.
                    <pub-id pub-id-type="pmid">32179890</pub-id>
                    <pub-id pub-id-type="doi">10.1093/cid/ciaa287</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7184482</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref8">
                <label>8</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Pople</surname>
                            <given-names>D</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Monk</surname>
                            <given-names>EJM</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Evans</surname>
                            <given-names>S</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Burden of SARS-CoV-2 infection in healthcare workers during second wave in England and impact of vaccines: prospective multicentre cohort study.</article-title>
                    <source>

                        <italic toggle="yes">(SIREN) and mathematical model. BMJ.</italic>
</source>
                    <year>2022</year>;<volume>378</volume>:<fpage>e070379</fpage>.
                    <pub-id pub-id-type="doi">10.1136/bmj-2022-070379</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref9">
                <label>9</label>
                <mixed-citation publication-type="book">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Burrer</surname>
                            <given-names>SL</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Perio</surname>
                            <given-names>MA</given-names>
                            <prefix>de</prefix>
                        </name>

                        <name name-style="western">
                            <surname>Hughes</surname>
                            <given-names>MM</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <source>

                        <italic toggle="yes">Characteristics of Health Care Personnel with COVID-19 &#x2014; United States, February 12&#x2013;April 9, 2020. CDC COVID-19 Response Team.</italic>
</source>
                    <publisher-name>Centers for Disease Control MMWR Office</publisher-name>;<year>2020 Apr [cited 2022 Dec 2]</year>.</mixed-citation>
            </ref>
            <ref id="ref10">
                <label>10</label>
                <mixed-citation publication-type="other">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Kluytmans-van Den Bergh</surname>
                            <given-names>MFQ</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Buiting</surname>
                            <given-names>AGM</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Pas</surname>
                            <given-names>SD</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>SARS-CoV-2 infection in 86 healthcare workers in two Dutch hospitals in March 2020.</article-title>
                    <source>

                        <italic toggle="yes">medRxiv.</italic>
</source>
                    <year>2020 Mar 31 [cited 2022 Dec 2]</year>.</mixed-citation>
            </ref>
            <ref id="ref11">
                <label>11</label>
                <mixed-citation publication-type="other">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Liu</surname>
                            <given-names>J</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ouyang</surname>
                            <given-names>L</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Guo</surname>
                            <given-names>P</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Epidemiological, Clinical Characteristics and Outcome of Medical Staff Infected with COVID-19 in Wuhan, China: A Retrospective Case Series Analysis.</article-title>
                    <source>

                        <italic toggle="yes">medRxiv.</italic>
</source>
                    <year>2020</year>;<fpage>27</fpage>.</mixed-citation>
            </ref>
            <ref id="ref12">
                <label>12</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Nguyen</surname>
                            <given-names>LH</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Drew</surname>
                            <given-names>DA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Graham</surname>
                            <given-names>MS</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study.</article-title>
                    <source>

                        <italic toggle="yes">Lancet Public Health.</italic>
</source>
                    <year>2020</year>;<volume>5</volume>(<issue>9</issue>):<fpage>e475</fpage>&#x2013;<lpage>e483</lpage>.
                    <pub-id pub-id-type="pmid">32745512</pub-id>
                    <pub-id pub-id-type="doi">10.1016/S2468-2667(20)30164-X</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7491202</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref13">
                <label>13</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Kim</surname>
                            <given-names>R</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Nachman</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Fernandes</surname>
                            <given-names>R</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Comparison of COVID-19 infections among healthcare workers and non-healthcare workers.</article-title>
                    <source>

                        <italic toggle="yes">PLoS One.</italic>
</source>
                    <year>2020</year>;<volume>15</volume>(<issue>12</issue>):<fpage>10</fpage>.
                    <pub-id pub-id-type="doi">10.1371/journal.pone.0241956</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref14">
                <label>14</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Iversen</surname>
                            <given-names>K</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Bundgaard</surname>
                            <given-names>H</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Hasselbalch</surname>
                            <given-names>RB</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Risk of COVID-19 in health-care workers in Denmark: an observational cohort study.</article-title>
                    <source>

                        <italic toggle="yes">Lancet Infect. Dis.</italic>
</source>
                    <year>2020</year>;<volume>20</volume>(<issue>12</issue>):<fpage>1401</fpage>&#x2013;<lpage>1408</lpage>.
                    <pub-id pub-id-type="pmid">32758438</pub-id>
                    <pub-id pub-id-type="doi">10.1016/S1473-3099(20)30589-2</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7398038</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref15">
                <label>15</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Okeahalam</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Williams</surname>
                            <given-names>V</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Otwombe</surname>
                            <given-names>K</given-names>
                        </name>
</person-group>:
                    <article-title>Factors associated with COVID-19 infections and mortality in Africa: a cross-sectional study using publicly available data.</article-title>
                    <source>

                        <italic toggle="yes">BMJ Open.</italic>
</source>
                    <year>2020</year>;<volume>10</volume>(<issue>11</issue>):<fpage>e042750</fpage>.
                    <pub-id pub-id-type="pmid">33177146</pub-id>
                    <pub-id pub-id-type="doi">10.1136/bmjopen-2020-042750</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7661348</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref16">
                <label>16</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Delamou</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sow</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Fofana</surname>
                            <given-names>TO</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>A rapid assessment of health system preparedness and response to the COVID-19 pandemic in Guinea.</article-title>
                    <source>

                        <italic toggle="yes">J. Public Health Africa.</italic>
</source>
                    <year>2022</year>;<volume>13</volume>(<issue>2</issue>).
                    <pub-id pub-id-type="pmid">36051518</pub-id>
                    <pub-id pub-id-type="doi">10.4081/jphia.2022.1475</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9425928</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref17">
                <label>17</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Tlotleng</surname>
                            <given-names>N</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Cohen</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Made</surname>
                            <given-names>F</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>COVID-19 hospital admissions and mortality among healthcare workers in South Africa, 2020-2021.</article-title>
                    <source>

                        <italic toggle="yes">IJID Reg.</italic>
</source>
                    <year>2022</year>;<volume>5</volume>:<fpage>54</fpage>&#x2013;<lpage>61</lpage>.
                    <pub-id pub-id-type="pmid">36065332</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.ijregi.2022.08.014</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9433333</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref18">
                <label>18</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Ssetaba</surname>
                            <given-names>LJ</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Mirembe</surname>
                            <given-names>J</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Omega</surname>
                            <given-names>J</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Coronavirus disease&#x2013;2019 morbidity and mortality among health care workers in Uganda.</article-title>
                    <source>

                        <italic toggle="yes">Ther. Adv. Infect. Dis.</italic>
</source>
                    <year>2022</year>;<volume>9</volume>:<fpage>204993612211364</fpage>.
                    <pub-id pub-id-type="doi">10.1177/20499361221136415</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref19">
                <label>19</label>
                <mixed-citation publication-type="other">
                    <collab>World Population Review</collab>:
                    <article-title>Sub-Saharan Africa Population 2023.</article-title>
                    <year>[cited 2023 Jul 17]</year>.</mixed-citation>
            </ref>
            <ref id="ref20">
                <label>20</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Haileamlak</surname>
                            <given-names>A</given-names>
                        </name>
</person-group>:
                    <article-title>COVID-19 Pandemic Status in Africa.</article-title>
                    <source>

                        <italic toggle="yes">Ethiop. J. Health Sci.</italic>
</source>
                    <year>2020</year>;<volume>30</volume>(<issue>5</issue>):<fpage>643</fpage>&#x2013;<lpage>644</lpage>.
                    <pub-id pub-id-type="pmid">33911823</pub-id>
                    <pub-id pub-id-type="doi">10.4314/ejhs.v30i5.1</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref21">
                <label>21</label>
                <mixed-citation publication-type="other">
                    <collab>World Health Organization</collab>:
                    <article-title>WHO Coronavirus (COVID-19) Dashboard.</article-title>
                    <year>2023 [cited 2023 Jul 17]</year>.</mixed-citation>
            </ref>
            <ref id="ref22">
                <label>22</label>
                <mixed-citation publication-type="book">
                    <collab>World Health Organization</collab>:
                    <source>

                        <italic toggle="yes">Clinical management of COVID-19.</italic>
</source>
                    <publisher-name>WHO</publisher-name>;<year>2023 [cited 2023 Jul 17]</year>.</mixed-citation>
            </ref>
            <ref id="ref23">
                <label>23</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Garcia-Gallo</surname>
                            <given-names>E</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Merson</surname>
                            <given-names>L</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kennon</surname>
                            <given-names>K</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19.</article-title>
                    <source>

                        <italic toggle="yes">Sci. Data.</italic>
</source>
                    <year>2022</year>;<volume>9</volume>(<issue>1</issue>).</mixed-citation>
            </ref>
            <ref id="ref24">
                <label>24</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Bielicki</surname>
                            <given-names>JA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Duval</surname>
                            <given-names>X</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Gobat</surname>
                            <given-names>N</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Monitoring approaches for health-care workers during the COVID-19 pandemic.</article-title>
                    <source>

                        <italic toggle="yes">Lancet Infect. Dis.</italic>
</source>
                    <year>2020</year>;<volume>20</volume>(<issue>10</issue>):<fpage>e261</fpage>&#x2013;<lpage>e267</lpage>.
                    <pub-id pub-id-type="pmid">32711692</pub-id>
                    <pub-id pub-id-type="doi">10.1016/S1473-3099(20)30458-8</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7377794</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref25">
                <label>25</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Mhango</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Dzobo</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chitungo</surname>
                            <given-names>I</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>COVID-19 Risk Factors Among Health Workers: A Rapid Review.</article-title>
                    <source>

                        <italic toggle="yes">Saf. Health Work.</italic>
</source>
                    <year>2020</year>;<volume>11</volume>(<issue>3</issue>):<fpage>262</fpage>&#x2013;<lpage>265</lpage>.
                    <pub-id pub-id-type="pmid">32995051</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.shaw.2020.06.001</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7502606</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref26">
                <label>26</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Ibiebele</surname>
                            <given-names>J</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Silkaitis</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Dolgin</surname>
                            <given-names>G</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Occupational COVID-19 exposures and secondary cases among healthcare personnel.</article-title>
                    <source>

                        <italic toggle="yes">Am. J. Infect. Control.</italic>
</source>
                    <year>2021</year>;<volume>49</volume>(<issue>10</issue>):<fpage>1334</fpage>&#x2013;<lpage>1336</lpage>.
                    <pub-id pub-id-type="pmid">34375702</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.ajic.2021.07.021</pub-id>
                    <pub-id pub-id-type="pmcid">PMC8349432</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref27">
                <label>27</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Tian</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Lovrics</surname>
                            <given-names>O</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Vaisman</surname>
                            <given-names>A</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Risk factors and protective measures for healthcare worker infection during highly infectious viral respiratory epidemics: A systematic review and meta-analysis.</article-title>
                    <source>

                        <italic toggle="yes">Infect. Control Hosp. Epidemiol.</italic>
</source>
                    <year>2022</year>;<volume>43</volume>(<issue>5</issue>):<fpage>639</fpage>&#x2013;<lpage>650</lpage>.
                    <pub-id pub-id-type="pmid">33487203</pub-id>
                    <pub-id pub-id-type="doi">10.1017/ice.2021.18</pub-id>
                    <pub-id pub-id-type="pmcid">PMC8564050</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref28">
                <label>28</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Ochoa-Leite</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Bento</surname>
                            <given-names>J</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Rocha</surname>
                            <given-names>DR</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Occupational management of healthcare workers exposed to COVID-19.</article-title>
                    <source>

                        <italic toggle="yes">Occup. Med. (Lond.).</italic>
</source>
                    <year>2021</year>;<volume>71</volume>(<issue>8</issue>):<fpage>359</fpage>&#x2013;<lpage>365</lpage>.
                    <pub-id pub-id-type="pmid">34415346</pub-id>
                    <pub-id pub-id-type="doi">10.1093/occmed/kqab117</pub-id>
                    <pub-id pub-id-type="pmcid">PMC8499793</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref29">
                <label>29</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Millimouno</surname>
                            <given-names>TM</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Meessen</surname>
                            <given-names>B</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Van De</surname>
                            <given-names>PW</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>How has Guinea learnt from the response to outbreaks? A learning health system analysis.</article-title>
                    <source>

                        <italic toggle="yes">BMJ Glob. Health.</italic>
</source>
                    <year>2023</year>;<volume>8</volume>(<issue>2</issue>):<fpage>e010996</fpage>.
                    <pub-id pub-id-type="pmid">36854489</pub-id>
                    <pub-id pub-id-type="doi">10.1136/bmjgh-2022-010996</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9980363</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref30">
                <label>30</label>
                <mixed-citation publication-type="other">
                    <collab>WHO</collab>:
                    <article-title>Ebola Disease. WHO Regional Office for Africa.</article-title>
                    <year>[cited 2024 Apr 12]</year>.</mixed-citation>
            </ref>
            <ref id="ref31">
                <label>31</label>
                <mixed-citation publication-type="book">
                    <collab>Government of Malawi</collab>:
                    <source>

                        <italic toggle="yes">Update on Malawi&#x2019;s preparedness against Ebola outbreak.</italic>
</source>
                    <publisher-name>ReliefWeb</publisher-name>;<year>2019 [cited 2024 Apr 12]</year>.</mixed-citation>
            </ref>
            <ref id="ref32">
                <label>32</label>
                <mixed-citation publication-type="other">
                    <collab>UNICEF Malawi</collab>:
                    <article-title>Ebola preparedness.</article-title>
                    <year>2019 [cited 2024 Apr 12]</year>.</mixed-citation>
            </ref>
            <ref id="ref33">
                <label>33</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Gholami</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Fawad</surname>
                            <given-names>I</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Shadan</surname>
                            <given-names>S</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>COVID-19 and healthcare workers: A systematic review and meta-analysis.</article-title>
                    <source>

                        <italic toggle="yes">Int. J. Infect. Dis.</italic>
</source>
                    <year>2021</year>;<volume>104</volume>:<fpage>335</fpage>&#x2013;<lpage>346</lpage>.
                    <pub-id pub-id-type="pmid">33444754</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.ijid.2021.01.013</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7798435</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref34">
                <label>34</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Al Youha</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Alowaish</surname>
                            <given-names>O</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ibrahim</surname>
                            <given-names>IK</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Factors associated with SARS-CoV-2 infection amongst healthcare workers in a COVID-19 designated hospital.</article-title>
                    <source>

                        <italic toggle="yes">J. Infect. Public Health.</italic>
</source>
                    <year>2021</year>;<volume>14</volume>(<issue>9</issue>):<fpage>1226</fpage>&#x2013;<lpage>1232</lpage>.
                    <pub-id pub-id-type="pmid">34450510</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.jiph.2021.08.012</pub-id>
                    <pub-id pub-id-type="pmcid">PMC8366051</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref35">
                <label>35</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Garzaro</surname>
                            <given-names>G</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Clari</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ciocan</surname>
                            <given-names>C</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>COVID-19 infection and diffusion among the healthcare workforce in a large university-hospital in Northwest Italy.</article-title>
                    <source>

                        <italic toggle="yes">Med. Del. Lav.</italic>
</source>
                    <year>2020</year>;<volume>111</volume>(<issue>3</issue>):<fpage>184</fpage>&#x2013;<lpage>194</lpage>.
                    <pub-id pub-id-type="doi">10.2139/ssrn.3578806</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref36">
                <label>36</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Guo</surname>
                            <given-names>X</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Wang</surname>
                            <given-names>J</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Hu</surname>
                            <given-names>D</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Survey of COVID-19 Disease Among Orthopaedic Surgeons in Wuhan, People&#x2019;s Republic of China.</article-title>
                    <source>

                        <italic toggle="yes">J. BONE Jt. Surg.</italic>
</source>
                    <year>2020</year>;<volume>102</volume>:<fpage>847</fpage>&#x2013;<lpage>854</lpage>.
                    <pub-id pub-id-type="pmid">32271208</pub-id>
                    <pub-id pub-id-type="doi">10.2106/JBJS.20.00417</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7188039</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref37">
                <label>37</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Bandyopadhyay</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Baticulon</surname>
                            <given-names>RE</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kadhum</surname>
                            <given-names>M</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Infection and mortality of healthcare workers worldwide from COVID-19: a systematic review.</article-title>
                    <source>

                        <italic toggle="yes">BMJ Glob. Health.</italic>
</source>
                    <year>2020</year>;<volume>5</volume>(<issue>12</issue>):<fpage>e003097</fpage>.
                    <pub-id pub-id-type="pmid">33277297</pub-id>
                    <pub-id pub-id-type="doi">10.1136/bmjgh-2020-003097</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7722361</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref38">
                <label>38</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Dzinamarira</surname>
                            <given-names>T</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Nkambule</surname>
                            <given-names>SJ</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Hlongwa</surname>
                            <given-names>M</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Risk Factors for COVID-19 Infection Among Healthcare Workers. A First Report From a Living Systematic Review and meta-Analysis.</article-title>
                    <source>

                        <italic toggle="yes">Saf. Health Work.</italic>
</source>
                    <year>2022</year>;<volume>13</volume>(<issue>3</issue>):<fpage>263</fpage>&#x2013;<lpage>268</lpage>.
                    <pub-id pub-id-type="pmid">35433073</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.shaw.2022.04.001</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9004144</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref39">
                <label>39</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Vahidy</surname>
                            <given-names>FS</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Pan</surname>
                            <given-names>AP</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ahnstedt</surname>
                            <given-names>H</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Sex differences in susceptibility, severity, and outcomes of coronavirus disease 2019: Cross-sectional analysis from a diverse US metropolitan area.</article-title>
                    <source>

                        <italic toggle="yes">PLoS One.</italic>
</source>
                    <year>2021</year>;<volume>16</volume>(<issue>1</issue>):<fpage>e0245556</fpage>.
                    <pub-id pub-id-type="pmid">33439908</pub-id>
                    <pub-id pub-id-type="doi">10.1371/journal.pone.0245556</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7806140</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref40">
                <label>40</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Guan</surname>
                            <given-names>W</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Liang</surname>
                            <given-names>W</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zhao</surname>
                            <given-names>Y</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis.</article-title>
                    <source>

                        <italic toggle="yes">Infect. Dis.</italic>
</source>
                    <year>2020</year>;<volume>55</volume>:<fpage>2000547</fpage>.</mixed-citation>
            </ref>
            <ref id="ref41">
                <label>41</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Jin</surname>
                            <given-names>JM</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Bai</surname>
                            <given-names>P</given-names>
                        </name>

                        <name name-style="western">
                            <surname>He</surname>
                            <given-names>W</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Gender Differences in Patients With COVID-19: Focus on Severity and Mortality.</article-title>
                    <source>

                        <italic toggle="yes">Front. Public Health.</italic>
</source>
                    <year>2020</year>;<volume>8</volume>(<issue>April</issue>):<fpage>1</fpage>&#x2013;<lpage>6</lpage>.
                    <pub-id pub-id-type="doi">10.3389/fpubh.2020.00152</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref42">
                <label>42</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Reid</surname>
                            <given-names>J</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Daya</surname>
                            <given-names>R</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zingoni</surname>
                            <given-names>ZM</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>COVID-19 in-hospital mortality during the first two pandemic waves, at Helen Joseph Hospital, South Africa.</article-title>
                    <source>

                        <italic toggle="yes">Pan Afr. Med. J.</italic>
</source>
                    <year>2023</year>;<volume>45</volume>(<issue>5</issue>):<fpage>14</fpage>.</mixed-citation>
            </ref>
            <ref id="ref43">
                <label>43</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Bepouka</surname>
                            <given-names>B</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Mayasi</surname>
                            <given-names>N</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Mandina</surname>
                            <given-names>M</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Risk factors for mortality in COVID-19 patients in sub-Saharan Africa: A systematic review and meta-analysis.</article-title>
                    <source>

                        <italic toggle="yes">PLoS One.</italic>
</source>
                    <year>2022</year>;<volume>17</volume>:<fpage>1</fpage>&#x2013;<lpage>18</lpage>.
                    <pub-id pub-id-type="doi">10.1371/journal.pone.0276008</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref44">
                <label>44</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Donamou</surname>
                            <given-names>J</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Toure</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Camara</surname>
                            <given-names>AY</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Predictive factors of mortality in patients with COVID-19 in Guinea: analysis of the first 140 cases admitted to intensive care unit.</article-title>
                    <source>

                        <italic toggle="yes">Pan Afr. Med. J.</italic>
</source>
                    <year>2021</year>;<volume>38</volume>:<fpage>38</fpage>.
                    <pub-id pub-id-type="doi">10.11604/pamj.2021.38.205.27078</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref45">
                <label>45</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Jaspard</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sow</surname>
                            <given-names>MS</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Juchet</surname>
                            <given-names>S</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Clinical presentation, outcomes and factors associated with mortality: A prospective study from three COVID-19 referral care centres in West Africa.</article-title>
                    <source>

                        <italic toggle="yes">Int. J. Infect. Dis.</italic>
</source>
                    <year>2021</year>;<volume>108</volume>:<fpage>45</fpage>&#x2013;<lpage>52</lpage>.
                    <pub-id pub-id-type="pmid">34000419</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.ijid.2021.05.024</pub-id>
                    <pub-id pub-id-type="pmcid">PMC8120805</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref46">
                <label>46</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Boulle</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Davies</surname>
                            <given-names>MA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Hussey</surname>
                            <given-names>H</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Risk Factors for Coronavirus Disease 2019 (COVID-19) Death in a Population Cohort Study from the Western Cape Province, South Africa.</article-title>
                    <source>

                        <italic toggle="yes">Clin. Infect. Dis.</italic>
</source>
                    <year>2021</year>;<volume>73</volume>(<issue>7</issue>):<fpage>E2005</fpage>&#x2013;<lpage>E2015</lpage>.</mixed-citation>
            </ref>
            <ref id="ref47">
                <label>47</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Mphekgwana</surname>
                            <given-names>PM</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sono-Setati</surname>
                            <given-names>ME</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Tshitangano</surname>
                            <given-names>TG</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Factors associated with COVID-19 inpatient mortality cases within 24 hours in South Africa.</article-title>
                    <source>

                        <italic toggle="yes">South African Med. J.</italic>
</source>
                    <year>2023</year>;<volume>113</volume>(<issue>6</issue>):<fpage>41</fpage>&#x2013;<lpage>45</lpage>.
                    <pub-id pub-id-type="doi">10.7196/SAMJ.2023.v113i6.16554</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref48">
                <label>48</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Kamara</surname>
                            <given-names>IF</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kumar</surname>
                            <given-names>AMV</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Maruta</surname>
                            <given-names>A</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Antibiotic Use in Suspected and Confirmed COVID-19 Patients Admitted to Health Facilities in Sierra Leone in 2020&#x2013;2021: Practice Does Not Follow Policy.</article-title>
                    <source>

                        <italic toggle="yes">Int. J. Environ. Res. Public Health.</italic>
</source>
                    <year>2022</year>;<volume>19</volume>(<issue>7</issue>).
                    <pub-id pub-id-type="pmid">35409687</pub-id>
                    <pub-id pub-id-type="doi">10.3390/ijerph19074005</pub-id>
                    <pub-id pub-id-type="pmcid">PMC8998021</pub-id>
                </mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report385706">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.165373.r385706</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Barros</surname>
                        <given-names>Carla</given-names>
                    </name>
                    <xref ref-type="aff" rid="r385706a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-2236-4553</uri>
                </contrib>
                <aff id="r385706a1">
                    <label>1</label>Universidade Fernando Pessoa, Porto, Porto District, Portugal</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>8</day>
                <month>7</month>
                <year>2025</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Barros C</copyright-statement>
                <copyright-year>2025</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport385706" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.150775.1"/>
            <custom-meta-group>
                <custom-meta>
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                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>This study aimed to analyze the epidemiological profiles and outcomes of HCWs hospitalized for COVID-19.</p>
            <p> The manuscript is methodologically highly relevant.</p>
            <p> Improvements can be made in (i) framing, interpretation, and clarity highlighting its contribution to the global COVID-19 literature and health systems and (ii) expanding the conclusions with a deeper analysis.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Occupational Health Psychology</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report388109">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.165373.r388109</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Kumar</surname>
                        <given-names>Sumant</given-names>
                    </name>
                    <xref ref-type="aff" rid="r388109a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r388109a1">
                    <label>1</label>Alliance University, Bengaluru, Karnataka, India</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>24</day>
                <month>6</month>
                <year>2025</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Kumar S</copyright-statement>
                <copyright-year>2025</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport388109" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.150775.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The paper explores a significant gap in healthcare worker outcomes during the COVID-19 pandemic in the Sub-Saharan Africa region. The use of ISARIC-WHO for data is a reliable source for all five selected countries. However, if the author can give more details about each country's HCW data, for instance, whether the data is national or site-specific, they should also explain the limitations of the selected sample sizes.</p>
            <p> Clinical severity measures need to be included the check the availability of oxygen therapy, ICU facilities and other respiratory supports as key severity markers.</p>
            <p> What are the measures taken to prevent infection, such as policy, information, training, etc?</p>
            <p> Paper should also reflect on why CFR increased in December 2020 and July 2021, including exploring whether the higher female HCWs hospitalisation is associated with differential exposure risk or due to workforce distribution.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>I cannot comment. A qualified statistician is required.</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Partly</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Social Science and Humanities</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report388105">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.165373.r388105</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Sidiq</surname>
                        <given-names>Mohammad</given-names>
                    </name>
                    <xref ref-type="aff" rid="r388105a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-2448-8971</uri>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Sharma</surname>
                        <given-names>Jyoti</given-names>
                    </name>
                    <xref ref-type="aff" rid="r388105a2">2</xref>
                    <role>Co-referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-6510-3903</uri>
                </contrib>
                <aff id="r388105a1">
                    <label>1</label>Galgotias University, Greater Noida, Uttar Pradesh, India</aff>
                <aff id="r388105a2">
                    <label>2</label>Physiotherapy, SAHS, Galgotias University, Greater Noida, India</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>24</day>
                <month>6</month>
                <year>2025</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Sidiq M and Sharma J</copyright-statement>
                <copyright-year>2025</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport388105" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.150775.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>
                <bold>1. Title and Abstract</bold>
            </p>
            <p> &#x00a0;The Title is concise, and it represents the study well</p>
            <p> Well-structured. Findings are well-defined and placed under clear sections on background, methods, results, and conclusions.</p>
            <p> Abstracts may be supplemented by quantitative information, which may be achieved with confidence intervals, to assist with statistical rigor.</p>
            <p> 
                <bold>2. Introduction and Background</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>
                            <bold>Rationale: Justified.</bold> There is a definite knowledge gap regarding the issue of COVID-19 among HCWs in sub-Saharan Africa.</p>
                    </list-item>
                    <list-item>
                        <p>Contextualization: Makes proper references to the previous work and discusses peculiarities of regional vulnerabilities.</p>
                    </list-item>
                    <list-item>
                        <p>Suggestion: Explicate the reasons behind selecting the countries that are not based on the availability of data specifically&#x2014;state health system diversity or policies in curbing the pandemic.</p>
                    </list-item>
                </list> 
                <bold>Methods</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Design: Correct retrospective cohort design of secondary ISARIC information.</p>
                    </list-item>
                    <list-item>
                        <p>Data Sources: Well defined using the ISARIC-WHO standardized forms and REDCap/Trifacta tools.</p>
                    </list-item>
                    <list-item>
                        <p>Ethical Considerations: It is well covered, and its ethical approval has numerous levels.</p>
                    </list-item>
                    <list-item>
                        <p>Recommendation: The inclusion of a flow diagram (e.g., PRISMA-style) of HCWs by country would be beneficial to transparency.</p>
                    </list-item>
                    <list-item>
                        <p>Needs clarification: Did they measure the severity of the disease, or was the only proxy ICU admission?</p>
                    </list-item>
                </list> 
                <bold>Results</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Presentation: Disaggregated by country, and data are wholesome.</p>
                    </list-item>
                    <list-item>
                        <p>Figure/Table used: They are quite sufficient, in particular Figs. 2 and 3 (CFR trends and risk ratios).</p>
                    </list-item>
                    <list-item>
                        <p>Statistical Analysis: Cox regression is suited for investigation of risk of mortality.</p>
                    </list-item>
                    <list-item>
                        <p>Major Concern: Sample sizes of subgroups (e.g., Malawi, Gambia) are extremely small&#x2014;reduces the ability to generalize and statistical conclusions.</p>
                    </list-item>
                </list> 
                <bold>Discussion</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Interpretation: Cogitative, takes opportunity factors that include experience of prior epidemics and availability of PPE into consideration.</p>
                    </list-item>
                    <list-item>
                        <p>Literature Integration: Cites the pertinent global and regional studies.</p>
                    </list-item>
                    <list-item>
                        <p>Recommendation: Elaborate more on the gender disparity in terms of infections and deaths as it is demixed in different countries.</p>
                    </list-item>
                    <list-item>
                        <p>Limitation Acknowledgment: Good, except that the effect of misclassification bias (e.g., clinically suspected cases) ought to be mentioned.</p>
                    </list-item>
                </list> 
                <bold>7. References</bold>
            </p>
            <p> 
                <bold>Appropriate and Comprehensive:</bold> Citations span WHO, peer-reviewed literature, and systematic reviews.</p>
            <p> 
                <bold>Minor Suggestion:</bold> Ensure reference formatting consistency, particularly with DOIs and PubMed IDs.</p>
            <p> 
                <bold>10. Overall Recommendation</bold>
            </p>
            <p> 
                <bold>Approved with Reservations</bold>
            </p>
            <p> This is an important and topical contribution. Although the study is sound on methodologies and contributes to an urgent gap, its interpretation is constrained by small numbers in most countries. The scientific rigor of the discussion could also be enhanced by enhancing arguments of limitations and potentially clarifying abstract and methods.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Musculoskeletal, Public Health, Clinical Research, Image Processing, and Pain sciences</p>
            <p>We confirm that we have read this submission and believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however we have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
</article>
