<?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.179781.1</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>Attitudes, Perceptions, and Preparedness for Viral Hemorrhagic Fever Outbreaks Among Medical Students in Uganda.</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: awaiting peer review]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Segawa</surname>
                        <given-names>Micheal Collins</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/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Software</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/0009-0004-3435-3709</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Matsiko</surname>
                        <given-names>Joshua</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</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>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Balirwa</surname>
                        <given-names>Whitney</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</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>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Nambalirwa</surname>
                        <given-names>Noeline</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</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>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Mulema</surname>
                        <given-names>Edirne</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/">Supervision</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>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Biraro</surname>
                        <given-names>Irene Andia</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/">Supervision</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>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Kalyesubula</surname>
                        <given-names>Robert</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/">Supervision</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>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>College of Health Sciences, Makerere University, Kampala, Central Region, Uganda</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:collinsmicheal256@gmail.com">collinsmicheal256@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>29</day>
                <month>4</month>
                <year>2026</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2026</year>
            </pub-date>
            <volume>15</volume>
            <elocation-id>634</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>8</day>
                    <month>4</month>
                    <year>2026</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Segawa MC et al.</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article 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>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/15-634/pdf"/>
            <abstract>
                <sec>
                    <title>Introduction</title>
                    <p>Uganda remains at high risk for outbreaks of viral haemorrhagic fevers (VHF), particularly Ebola and Marburg diseases. Medical students, as future healthcare workers, are at risk of occupational exposure during outbreaks, yet little is known about their attitudes, perceptions, and preparedness. This study assessed medical students&#x2019; attitudes, perceptions, and preparedness for Ebola and Marburg virus diseases in Uganda.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>We conducted a cross-sectional survey among medical students in Uganda from March to October 2023. Stratified random sampling was used. Data were collected using a structured interviewer-administered questionnaire. Descriptive statistics were used to summarize the data in STATA 16.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>637 medical students participated, with a mean age of 24.1&#x00a0;&#x00b1;&#x00a0;2.9&#x00a0;years; 65.5% were male. Most demonstrated positive attitudes toward Ebola and Marburg, including support for survivor reintegration and vaccination. However, fewer than half perceived themselves to be personally at risk of infection. Preparedness gaps were notable; most students lacked clinical experience managing VHF cases, and confidence in disease management was low. Participation in continuing medical education on Ebola and Marburg was also limited.</p>
                </sec>
                <sec>
                    <title>Conclusion</title>
                    <p>Medical students generally exhibited positive attitudes and perceptions toward Ebola and Marburg virus disease; however, gaps in preparedness persisted.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Ebola virus disease</kwd>
                <kwd>Marburg virus disease</kwd>
                <kwd>Viral haemorrhagic fever</kwd>
                <kwd>Medical students</kwd>
                <kwd>Preparedness.</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>The Rainier Arnhold Senior House Officer Teaching Support (RASHOTS)</funding-source>
                </award-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec5" sec-type="intro">
            <title>Introduction</title>
            <p>Filoviruses, including Marburg virus and Ebola virus, cause epidemics of viral haemorrhagic fever (VHF) with case fatality rates (CFRs) ranging from 25%&#x2013;90% for Ebola virus and 24%&#x2013;88% for Marburg virus. The outbreaks are the result of zoonotic spillover events from animal reservoirs and subsequent spread from person to person through bodily fluids.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>,
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> Sub-Saharan Africa has experienced repeated filovirus outbreaks, with Marburg virus implicated in 18 documented events, including recent outbreaks in Tanzania (2023 and 2025), Rwanda (2024), and Equatorial Guinea (2023). Ebola virus has caused approximately 43 outbreaks in the region, including eight in Uganda, most notably the 2014&#x2013;2016 West African epidemic that severely affected Liberia, Sierra Leone, and Guinea, where many frontline health care workers (HCWs) were affected due to a lack of preparedness, poor and weak health care systems. In Uganda, the most recent outbreak, reported in 2025, was caused by 
                <italic toggle="yes">Orthoebolavirus sudanense</italic> and had a case fatality rate of 30%.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> These outbreaks challenge public health systems by overwhelming healthcare facilities, complicating diagnostic processes, and requiring extensive resources for containment and treatment, especially in resource-limited settings.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
            </p>
            <p>HCWs are at elevated risk of infection during VHF outbreaks due to their close contact with patients and frequent exposure to infectious materials.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>,
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> Medical students, as integral members of the healthcare team, also face substantial occupational risk, particularly during clinical rotations in outbreak settings
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> yet little is known about their attitudes and preparedness for VHF outbreaks. While studies from Guinea have reported good knowledge and favourable attitudes among HCWs, they have also revealed deficiencies in practical preparedness, such as inadequate suspect case identification and limited access to personal protective equipment (PPE).
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> In Nigeria, healthcare workers demonstrated inadequate preparedness for the control of VHF, with notable gaps in knowledge and practice related to VHF identification, reporting, and management. The key barriers to effective VHF control included limited training, insufficient supplies for standard precautions, the absence of standard operating procedures (SOPs), and inadequate institutional support.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
            </p>
            <p>In Uganda, a national survey of 691 emergency HCWs across 14 secondary and tertiary hospitals revealed a median Ebola knowledge score of 77.4%, with significantly higher scores among physicians, more experienced staff, and those with prior VHF training or access to information through social media.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> However, assessments of private health facilities in Kampala highlighted limited preparedness, with most lacking written protocols, training opportunities, or involvement in national response efforts. Only 66% of HCWs expressed willingness to be vaccinated.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> In rural districts like Kasese and Rubirizi, 54% of HCWs were unaware of the Ebola incubation period. Many facilities lacked case definition books, isolation units, SOPs, PPE stock, or simulation drills, reflecting significant systemic gaps in VHF outbreak preparedness.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup>
            </p>
            <p>Despite medical students being exposed to similar clinical risks as HCWs, most existing literature on VHF preparedness has focused on frontline staff, with limited attention to this important group. Given their critical role in healthcare delivery and their vulnerability during outbreaks, assessing the attitudes and preparedness of medical students in Uganda is essential to inform institutional policy, optimize training curricula, and strengthen national outbreak preparedness. Moreover, understanding the attitudes and preparedness of healthcare personnel for viral hemorrhagic fever (VHF) is foundational to effective infection prevention and control (IPC) strategies, particularly in regions prone to VHF outbreaks.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> This study aimed to assess the attitudes and preparedness of medical students in Uganda towards VHF outbreaks, with a focus on Ebola and Marburg viruses.</p>
        </sec>
        <sec id="sec6" sec-type="methods">
            <title>Methods</title>
            <sec id="sec7">
                <title>Study design</title>
                <p>We conducted a descriptive cross-sectional study using a quantitative survey. Data were collected between March and October 2023.</p>
            </sec>
            <sec id="sec8">
                <title>Study area</title>
                <p>The study was conducted in all medical schools in Uganda. At the time of the study, Uganda had ten medical schools offering a Bachelor of Medicine and Bachelor of Surgery (MBChB) degree at Makerere University, Busitema University, Gulu University, Kabale University, Soroti University, Mbarara University, Habib Medical School, King Caesar University, Kampala International University Medical School, and Uganda Christian University.</p>
            </sec>
            <sec id="sec9">
                <title>Study population</title>
                <p>The study population included all MBChB students doing clinical rotations, who were present on campus during data collection and consented to participate.</p>
            </sec>
            <sec id="sec10">
                <title>Sampling</title>
                <p>Students were selected using stratified random sampling. Each medical school formed a stratum, and an equal number of participants were randomly selected from each school.</p>
            </sec>
            <sec id="sec11">
                <title>Sample size estimation</title>
                <p> The sample size was 730 medical students, calculated using Cochran&#x2019;s formula (1963) for large populations, assuming a 99% confidence level, 5% margin of error, a conservative prevalence of 50%, and a 10% nonresponse rate.</p>
            </sec>
            <sec id="sec12">
                <title>Selection criteria</title>
                <p>All MBChB students doing clinical rotations and present on campus during data collection who consented to participate were included.</p>
            </sec>
            <sec id="sec13">
                <title>Study procedures</title>
                <p>Data were collected through a structured, interviewer-administered questionnaire. Data collection was conducted in English.</p>
            </sec>
            <sec id="sec14">
                <title>Study variables</title>
                <p>Study variables included sociodemographic characteristics (e.g., age, sex, year of study, and medical school), preparedness, and attitudes towards VHF outbreaks. Attitudes were measured using a structured questionnaire with five-point Likert scale items (1&#x00a0;=&#x00a0;strongly disagree; 5&#x00a0;=&#x00a0;strongly agree).</p>
            </sec>
            <sec id="sec15">
                <title>Data management and analysis</title>
                <p>Data was entered and cleaned in Microsoft Excel 2019, then exported to STATA version 16 for analysis. Descriptive statistics (frequencies, means, standard deviations) were used to summarize the data.</p>
            </sec>
            <sec id="sec16">
                <title>Ethical considerations</title>
                <p>The study was approved by the Makerere University School of Biomedical Sciences Research and Ethics Committee (SBS--2022-280). Written informed consent was obtained from all participants. Confidentiality was maintained by assigning participant identification numbers rather than using names. The signed consent form was kept separate from the completed questionnaire to further conceal the participants&#x2019; identities. The purpose, potential risks, and benefits of the study were clearly explained to participants.</p>
            </sec>
        </sec>
        <sec id="sec17" sec-type="results">
            <title>Results</title>
            <sec id="sec18">
                <title>Sociodemographic</title>
                <p>637 medical students accepted and completed the survey, yielding a response rate of 82.3%. The mean age was 24.1&#x00a0;years (SD 2.93), 65.5% were male, and 31.6% Anglican. (
                    <xref ref-type="table" rid="T1">
Table 1</xref>).</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>
Table 1. </label>
                    <caption>
                        <title>Sociodemographic characteristics of study participants (N = 637).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Variable</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Frequency (N&#x00a0;=&#x00a0;637)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Percentage (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Age</bold>
</td>
                                <td align="left" colspan="2" rowspan="1" valign="top">Mean (SD)&#x00a0;=&#x00a0;24.1&#x00a0;&#x00b1;&#x00a0;2.93</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Gender</bold>
</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">417</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">65.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">220</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Marital Status</bold>
</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Single</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">602</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">94.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Married</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Religion</bold>
</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Anglican</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">201</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Catholic</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">171</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">26.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Born Again</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">131</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Muslim</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">102</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Other</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">32</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.0</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec19">
                <title>Attitudes and perceptions.</title>
                <p>For Ebola virus disease, nearly all participants (90.6%) agreed or strongly agreed that an Ebola patient can survive; however, only 39.8% believed that Ebola survivor students could pose a risk in the classroom, with 85.2% supporting the reintegration of survivors into the community. Most respondents (71.5%) perceived Uganda to be at risk of another Ebola outbreak, although personal risk perception was lower, with only 49.8% feeling personally at risk of infection. 15.2% agreed regarding the belief that a spiritual leader could heal Ebola. Support for vaccination was high, 81.4% agreed/strongly that it is important to get vaccinated, but 66.2% believed Ebola vaccines are safe (
                    <xref ref-type="table" rid="T2">
Table 2</xref>).</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>
Table 2. </label>
                    <caption>
                        <title>Perceptions and Beliefs About Ebola Virus Disease (N = 637).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Variable</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Strongly Agree n (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Agree n (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Neutral n (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Disagree n (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Strongly Disagree (n, %)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">An Ebola patient can survive</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">303 (47.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">274 (43.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35 (5.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16 (2.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9 (1.4)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Ebola survivor students can put the class at risk</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">120 (18.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">134 (21.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">182 (28.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">129 (20.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">72 (11.3)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">It&#x2019;s okay to welcome back Ebola survivors</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">271 (42.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">272 (42.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">66 (10.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15 (2.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13 (2.0)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Uganda is at risk of another Ebola outbreak</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">180 (28.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">275 (43.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">155 (24.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20 (3.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7 (1.1)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Are you personally at risk of getting Ebola?</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">119 (18.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">198 (31.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">171 (26.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">82 (12.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">67 (10.5)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">A spiritual leader can heal Ebola</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">46 (7.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51 (8.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">182 (28.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">113 (17.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">245 (38.5)</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>For Marburg virus disease, similar patterns were observed. Most participants (86.2%) agreed or strongly agreed that a Marburg patient can survive, and 80.5% felt it was acceptable to welcome survivors back into the community. Nevertheless, 44.4% believed Marburg survivor students could pose a classroom risk. 62.6% considered Uganda to be at risk of another Marburg outbreak, while fewer than half (46.3%) felt personally at risk. 18.2% agreed or strongly agreed about the ability of spiritual leaders to heal Marburg infection. Vaccination attitudes were positive, with 71.3% supporting vaccination and 57.5% perceiving Marburg vaccines as safe (
                    <xref ref-type="table" rid="T3">
Table 3</xref>).</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>
Table 3. </label>
                    <caption>
                        <title>Perceptions and Beliefs About Marburg Virus Disease (N = 637).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Variable</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Strongly Agree n (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Agree n (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Neutral n (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Disagree n (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Strongly Disagree (n, %)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>A Marburg patient can survive</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">277 (43.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">272 (42.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">79 (12.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7 (1.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2 (0.3)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>It is important to get vaccinated</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">232 (36.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">222 (34.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">136 (21.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">27 (4.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20 (3.1)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>It&#x2019;s okay to welcome back Marburg survivors</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">251 (39.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">262 (41.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">107 (16.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9 (1.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8 (1.3)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Uganda is at risk of another Marburg outbreak</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">147 (23.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">252 (39.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">208 (32.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24 (3.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6 (0.9)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Marburg vaccines are safe</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">170 (26.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">196 (30.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">217 (34.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34 (5.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20 (3.1)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Marburg survivor students pose a risk</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">124 (19.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">165 (25.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">198 (31.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">90 (14.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">60 (9.4)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Are you personally at risk of Marburg?</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">123 (19.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">172 (27.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">197 (30.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">85 (13.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">60 (9.4)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>A spiritual leader can heal Marburg</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">55 (8.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">61 (9.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">189 (29.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">105 (16.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">227 (35.6)</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec20">
                <title>Preparedness</title>
                <p>A majority of medical students (91.7%) reported using personal protective equipment (PPE) during clinical activities to protect themselves from Ebola and Marburg viruses. Gloves were the most commonly used item (94.4%), followed by masks (90.6%), aprons (71.5%), and long-sleeved gowns (69.5%). Eye protection, such as face shields, was the least frequently used 65.7%.</p>
                <p>Vaccination uptake was very low. Most medical students had not received the Ebola (95.0%) or Marburg (96.9%) vaccines. Other preventive measures against Ebola and Marburg included regular handwashing after patient contact (Ebola 91.5%, Marburg 90.4%). Avoiding contact with wild animals (Ebola 67.5%, Marburg 64.2%) and avoiding contact with infected individuals (Ebola 74.9%, Marburg 69.9%). Practicing safe sex as a precaution was reported by 30.6% for Ebola and 27.3% for Marburg.</p>
                <p>Most students had no clinical experience in the management of Ebola (94.9%) and Marburg disease (97.3%) patients. Among the small number with experience (Ebola 32, Marburg 17), the majority had low confidence levels in Ebola (65.6%) or Marburg virus (75.0%) disease patient management. Participation in a continuing medical education (CME) session was low, 45.8% for Ebola, and 26.8% Marburg.</p>
            </sec>
        </sec>
        <sec id="sec21" sec-type="discussion">
            <title>Discussion</title>
            <p>This study assessed medical students&#x2019; attitudes, perceptions, and preparedness regarding Ebola and Marburg virus disease outbreaks in Uganda. Overall, the findings reveal generally positive attitudes toward Ebola and Marburg, but substantial gaps in preparedness, particularly in vaccination, confidence in clinical management, and CME exposure. These findings are consistent with evidence from other African settings showing that knowledge and attitudes among healthcare personnel often surpass practical preparedness for viral haemorrhagic fevers (VHFs).
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> Most students showed positive attitudes toward Ebola and Marburg survivorship and vaccination; however, stigma around the reintegration of survivors into the community and concerns about vaccine safety persisted. This aligned with studies from Guinea, where healthcare workers (HCWs) had favorable views of VHF patients but still expressed concerns about reintegration and stigma. A good number of the population also had Ebola vaccine hesitancy.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>,
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup>
            </p>
            <p>Despite most medical students perceiving Uganda at risk of another Ebola or Marburg outbreak, the perception of personal risk was low. Fewer than half felt personally at risk of Ebola or Marburg infection, a pattern mirroring findings among HCWs in Uganda, where perceived personal vulnerability was low even during active outbreaks.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> A lower perception of infection risk among future clinicians may undermine responsiveness during outbreaks and result in reduced uptake of protective interventions, such as vaccination.</p>
            <p>PPE is an important part of worker protection during filovirus outbreaks. Many medical students reported using PPE to protect themselves from EVD and MVD. However, this equipment alone is insufficient and must be accompanied by other interventions, such as handwashing, among other interventions reported by medical students.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> Notably, only a small proportion of medical students reported practicing safe sex as a preventive measure against Ebola and Marburg virus diseases. This finding suggests potential gaps in knowledge regarding transmission and prevention of these infections among medical students, calling for the need to improve knowledge of the disease and close the gap between knowledge and practice.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup>
            </p>
            <p>Self-reported vaccine uptake for both the Ebola and Marburg virus vaccines was low, a finding that was expected, as there is no approved vaccine against the Marburg virus, and the mass rollout of the Ebola vaccine in Uganda is still in trial phases.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>,
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> The low reported vaccine uptake may be attributable to social desirability bias in participants&#x2019; responses. Participation in CMEs on EVD and MVD among medical students was also notably low, even though most had no clinical experience and low confidence in managing both diseases. These findings closely align with an assessment in the Mubende and Kassanda districts, where HCWs demonstrated low competence in cornerstone skills for VHF case management and a lack of training opportunities and written protocols for VHF outbreak response, especially in the private health sector.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>,
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup>
            </p>
            <p>Medical students constitute a critical component of the future healthcare workforce and can get involved in frontline clinical care during outbreaks. The observed gaps, limited participation in VHF outbreak-focused continuing medical education, and low confidence in clinical management stress the need to strengthen outbreak preparedness within undergraduate medical training, possibly through extracurricular learning modules. The generally positive attitudes and perceptions toward Ebola and Marburg virus disease observed among medical students may reduce VHF outbreak stigma, promote community trust, and facilitate adherence to public health measures during outbreaks among future HCWs.</p>
            <sec id="sec22">
                <title>Strengths and limitations</title>
                <p>The strengths of this study include: a large, nationally representative sample of medical students from schools across Uganda, enhancing the generalizability of the findings. The use of stratified random sampling and standardized data collection procedures improved internal validity. It maintained strong ethical standards. However, self-reported data may introduce bias. The study did not include objective assessments of knowledge or skills.</p>
            </sec>
        </sec>
        <sec id="sec23" sec-type="conclusion">
            <title>Conclusion</title>
            <p>In conclusion, medical students in Uganda demonstrated generally positive attitudes toward Ebola and Marburg virus disease; however, substantial gaps in outbreak preparedness were identified, particularly in continuous training in clinical management. There is a need for continuous medical education to strengthen VHF preparedness, correct misconceptions, and improve practical competencies. Investing in the preparedness of medical students is essential for safeguarding the future healthcare workforce and enhancing national readiness for viral haemorrhagic fever outbreaks.</p>
        </sec>
        <sec id="sec24">
            <title>Author&#x2019;s contribution</title>
            <p>MJ, MCS, RK, and IAB conceived the idea and wrote the paper in conjunction with WB, NN. M CS conducted the data analysis; RK and IAB guided the approach, data collection, and analysis tools design. All the authors reviewed the manuscript for intellectual content and approval of the final manuscript.</p>
        </sec>
        <sec id="sec25">
            <title>Ethical consideration</title>
            <p>The Makerere University School of Biomedical Sciences Research Ethics Committee (SBSREC) approved the study protocol. Approval number SBS-2022-289. Written Informed Consent was obtained from participants. We maintained the confidentiality of the participants&#x2019; data by the use of participants&#x2019; identification numbers and not their names.</p>
        </sec>
    </body>
    <back>
        <sec id="sec30" sec-type="data-availability">
            <title>Data availability statement</title>
            <sec id="sec31">
                <title>Underlying data</title>
                <p>The datasets generated and analysed during the current study are available in the Zenodo repository: 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.18524019">https://doi.org/10.5281/zenodo.18524019</ext-link>. The dataset includes de-identified participant data and the values underlying all results reported in the article, including summary statistics, regression analyses, and figures.
                    <sup>
                        <xref ref-type="bibr" rid="ref21">21</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec32">
                <title>Extended data</title>
                <p>extended data, including the study questionnaire and informed consent forms, are available in the Zenodo repository: 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.19437716">https://doi.org/10.5281/zenodo.19437716</ext-link>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International (CC-BY 4.0) licence</ext-link>.
                    <sup>
                        <xref ref-type="bibr" rid="ref22">22</xref>
                    </sup>
                </p>
            </sec>
        </sec>
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