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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">SAJID</journal-id>
<journal-title-group>
<journal-title>Southern African Journal of Infectious Diseases</journal-title>
</journal-title-group>
<issn pub-type="ppub">2312-0053</issn>
<issn pub-type="epub">2313-1810</issn>
<publisher>
<publisher-name>AOSIS</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">SAJID-41-764</article-id>
<article-id pub-id-type="doi">10.4102/sajid.v41i1.764</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Assessment of healthcare worker preparedness and health literacy for Marburg virus disease in Nigeria: A cross-sectional study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">https://orcid.org/0009-0000-5791-301X</contrib-id>
<name>
<surname>Oisakede</surname>
<given-names>Emmanuel O.</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
<xref ref-type="aff" rid="AF0002">2</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0009-0006-7579-8290</contrib-id>
<name>
<surname>Asogun</surname>
<given-names>Daniel</given-names>
</name>
<xref ref-type="aff" rid="AF0003">3</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5915-2792</contrib-id>
<name>
<surname>Otaigbe</surname>
<given-names>Osahon</given-names>
</name>
<xref ref-type="aff" rid="AF0004">4</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0009-0007-1703-6295</contrib-id>
<name>
<surname>Iyoriobhe</surname>
<given-names>Iziengbe</given-names>
</name>
<xref ref-type="aff" rid="AF0005">5</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0009-0003-4511-0369</contrib-id>
<name>
<surname>Erhieyovwe</surname>
<given-names>Emmanuel O.</given-names>
</name>
<xref ref-type="aff" rid="AF0006">6</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3306-572X</contrib-id>
<name>
<surname>Emorinken</surname>
<given-names>Airenakho</given-names>
</name>
<xref ref-type="aff" rid="AF0007">7</xref>
<xref ref-type="aff" rid="AF0008">8</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0009-0005-0723-3127</contrib-id>
<name>
<surname>Nwosu</surname>
<given-names>Martin</given-names>
</name>
<xref ref-type="aff" rid="AF0004">4</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0009-0003-6404-9604</contrib-id>
<name>
<surname>Osamudiamen</surname>
<given-names>Uyi M.</given-names>
</name>
<xref ref-type="aff" rid="AF0009">9</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0188-9836</contrib-id>
<name>
<surname>Olawade</surname>
<given-names>David</given-names>
</name>
<xref ref-type="aff" rid="AF0010">10</xref>
<xref ref-type="aff" rid="AF0011">11</xref>
<xref ref-type="aff" rid="AF0012">12</xref>
</contrib>
<aff id="AF0001"><label>1</label>Department of Clinical Oncology, Leeds Teaching Hospitals Trust, Leeds, United Kingdom</aff>
<aff id="AF0002"><label>2</label>Department of Health Research, University of Leeds, Leeds, United Kingdom</aff>
<aff id="AF0003"><label>3</label>Department of Internal Medicine, Edo Specialist Hospital, Benin City, Nigeria</aff>
<aff id="AF0004"><label>4</label>Department of Community Medicine, Irrua Specialist Teaching Hospital, Irrua, Nigeria</aff>
<aff id="AF0005"><label>5</label>Department of Internal Medicine, Irrua Specialist Teaching Hospital, Irrua, Nigeria</aff>
<aff id="AF0006"><label>6</label>Department of Research and Innovation, Manchester University NHS Foundation Trust, Manchester, United Kingdom</aff>
<aff id="AF0007"><label>7</label>Division of Rheumatology, Department of Internal Medicine, Irrua Specialist Teaching Hospital, Irrua, Nigeria</aff>
<aff id="AF0008"><label>8</label>Department of Medicine, Ambrose Alli University, Ekpoma, Nigeria</aff>
<aff id="AF0009"><label>9</label>Department of Public Health, University of Chester, Chester, United Kingdom</aff>
<aff id="AF0010"><label>10</label>Department of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London, United Kingdom</aff>
<aff id="AF0011"><label>11</label>Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham, United Kingdom</aff>
<aff id="AF0012"><label>12</label>Department of Public Health, York St John University, London, United Kingdom</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><bold>Corresponding author:</bold> Emmanuel Oisakede, <email xlink:href="emmanuel.oisakede@gmail.com">emmanuel.oisakede@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>28</day><month>01</month><year>2026</year></pub-date>
<pub-date pub-type="collection"><year>2026</year></pub-date>
<volume>41</volume>
<issue>1</issue>
<elocation-id>764</elocation-id>
<history>
<date date-type="received"><day>30</day><month>06</month><year>2025</year></date>
<date date-type="accepted"><day>06</day><month>11</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2026. The Authors</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Licensee: AOSIS. This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.</license-p>
</license>
</permissions>
<abstract>
<sec id="st1">
<title>Background</title>
<p>Marburg virus disease (MVD) poses an emerging threat to Nigeria, particularly following the 2022 outbreak in neighbouring Ghana. With Nigeria already managing Lassa fever and Mpox outbreaks, assessing healthcare workers&#x2019; preparedness at viral haemorrhagic disease reference centres is crucial for effective outbreak response.</p>
</sec>
<sec id="st2">
<title>Objectives</title>
<p>This study aimed to assess healthcare workers&#x2019; knowledge, attitudes and preparedness regarding MVD at Nigeria&#x2019;s primary viral haemorrhagic fever reference centre.</p>
</sec>
<sec id="st3">
<title>Method</title>
<p>A cross-sectional study was conducted at Irrua Specialist Teaching Hospital, from May 2024 to October 2024. Healthcare workers were recruited using simple random sampling and data collected via semi-structured questionnaires. Descriptive and inferential statistics were analysed using Stata 17.</p>
</sec>
<sec id="st4">
<title>Results</title>
<p>Of the 216 participants, 126 (58.3&#x0025;) were doctors and 90 (41.7&#x0025;) were nurses. Doctors demonstrated significantly higher knowledge of MVD symptoms (65.9&#x0025; vs 46.7&#x0025;, <italic>p</italic> &#x003C; 0.001) and risk factors, with fever being the most recognised symptom (68.0&#x0025;). Only 19.1&#x0025; of doctors and 10.0&#x0025; of nurses had received formal MVD training. Confidence in hospital preparedness was paradoxically lower among doctors (32.5&#x0025;) than nurses (65.6&#x0025;, <italic>p</italic> &#x003C; 0.001). Most participants felt inadequately equipped with personal protective equipment, with only 38.1&#x0025; of doctors and 48.9&#x0025; of nurses reporting adequate protection.</p>
</sec>
<sec id="st5">
<title>Conclusion</title>
<p>Significant gaps exist in MVD health literacy and outbreak preparedness among Nigerian healthcare workers at a major viral haemorrhagic disease centre.</p>
</sec>
<sec id="st6">
<title>Contribution</title>
<p>Enhanced training programmes, improved resource allocation and systematic preparedness protocols are urgently needed to strengthen Nigeria&#x2019;s capacity for MVD outbreak response.</p>
</sec>
</abstract>
<kwd-group>
<kwd>health literacy</kwd>
<kwd>Marburg virus disease</kwd>
<kwd>preparedness</kwd>
<kwd>healthcare workers</kwd>
<kwd>Nigeria</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Funding information</bold> This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors. However, the manuscript&#x2019;s APC was supported by the Centre for Innovation and Research, Leeds Teaching Hospitals NHS Foundation Trust.</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec id="s0001">
<title>Introduction</title>
<p>Marburg virus disease (MVD), previously known as Marburg haemorrhagic fever, is a severe viral haemorrhagic fever caused by Marburg virus (MARV) of the Filoviridae family, with case fatality rates approaching 88&#x0025;.<sup><xref ref-type="bibr" rid="CIT0001">1</xref>,<xref ref-type="bibr" rid="CIT0002">2</xref></sup> Since its discovery in 1967 following simultaneous outbreaks in Marburg and Frankfurt in Germany and Belgrade in Serbia, MARV has caused 16 documented outbreaks globally, with all originating in Africa.<sup><xref ref-type="bibr" rid="CIT0003">3</xref>,<xref ref-type="bibr" rid="CIT0004">4</xref></sup> Recent outbreaks in Equatorial Guinea and Tanzania in 2023 underscore the continuing threat this pathogen poses to African healthcare systems.<sup><xref ref-type="bibr" rid="CIT0003">3</xref></sup></p>
<p>The virus comprises two distinct species: MARV and Ravn virus, which exhibit approximately 20&#x0025; genetic divergence but cause clinically indistinguishable disease.<sup><xref ref-type="bibr" rid="CIT0004">4</xref>,<xref ref-type="bibr" rid="CIT0005">5</xref></sup> The MARV transmission occurs zoonotically from Egyptian fruit bats (<italic>Rousettus aegyptiacus</italic>) and other bat species or through human-to-human contact with infected blood, secretions and bodily fluids.<sup><xref ref-type="bibr" rid="CIT0004">4</xref></sup> The clinical presentation begins with non-specific symptoms, including fever, myalgia and headache, progressing to severe gastrointestinal symptoms and potentially fatal haemorrhagic manifestations.<sup><xref ref-type="bibr" rid="CIT0006">6</xref>,<xref ref-type="bibr" rid="CIT0007">7</xref></sup> Diagnosis relies on specialised laboratory techniques, including reverse transcription polymerase chain reaction (RT-PCR), enzyme-linked immunosorbent assay (ELISA) and virus isolation although these may be unavailable in resource-limited settings where outbreaks typically occur.<sup><xref ref-type="bibr" rid="CIT0008">8</xref>,<xref ref-type="bibr" rid="CIT0009">9</xref></sup> Currently, no licensed vaccines or specific antiviral treatments exist, making supportive care the cornerstone of management.<sup><xref ref-type="bibr" rid="CIT0006">6</xref>,<xref ref-type="bibr" rid="CIT0010">10</xref></sup></p>
<p>Nigeria, despite having no recorded MVD cases, faces increasing risk following Ghana&#x2019;s 2022 outbreak, the first in West Africa and geographically closest to Nigeria&#x2019;s borders.<sup><xref ref-type="bibr" rid="CIT0003">3</xref></sup> This threat is particularly concerning given Nigeria&#x2019;s existing burden of viral haemorrhagic diseases, including endemic Lassa fever and recent Mpox outbreaks. Healthcare worker preparedness at viral haemorrhagic disease reference centres represents a critical component of outbreak response capability, as these facilities would serve as frontline treatment centres during any MVD emergency. Understanding the relationship between health literacy and outbreak preparedness is essential for strengthening healthcare system resilience and developing targeted interventions.<sup><xref ref-type="bibr" rid="CIT0011">11</xref></sup></p>
<p>This study therefore assessed healthcare workers&#x2019; knowledge, attitudes and preparedness regarding MVD at Nigeria&#x2019;s primary viral haemorrhagic disease reference centre, with the specific objectives of determining healthcare workers&#x2019; knowledge of MVD symptoms and transmission, evaluating their attitudes and perceptions towards the disease and assessing their level of preparedness for potential outbreaks. We addressed three key questions: What do healthcare workers know about MVD? What are their attitudes and perceptions towards MVD? How prepared are they for a potential MVD outbreak?</p>
</sec>
<sec id="s0002">
<title>Research methods and design</title>
<sec id="s20003">
<title>Study design and setting</title>
<p>This descriptive cross-sectional study employed semi-structured questionnaires administered electronically and followed the &#x2018;Strengthening the Reporting of Observational Studies in Epidemiology&#x2019; (STROBE) guidelines.<sup><xref ref-type="bibr" rid="CIT0012">12</xref></sup> Data collection occurred over five months from May 2024 to October 2024 at Irrua Specialist Teaching Hospital (ISTH), a tertiary centre in Southern Nigeria. The ISTH houses an Institute for Viral Hemorrhagic fevers and is Nigeria&#x2019;s primary regional reference centre for viral haemorrhagic diseases.<sup><xref ref-type="bibr" rid="CIT0013">13</xref></sup> The ISTH serves Edo State and neighbouring Delta, Kogi and Ondo States, receiving patients nationwide because of its specialised viral haemorrhagic fever capabilities. The facility is also a training centre for medical and nursing students from multiple institutions.<sup><xref ref-type="bibr" rid="CIT0014">14</xref></sup></p>
</sec>
<sec id="s20004">
<title>Population and sampling</title>
<p>The study population comprised medical doctors and nurses working at ISTH. Given the absence of published staffing data, sample size calculation used estimates from similar Nigerian tertiary institutions (70 doctors, 220 nurses).<sup><xref ref-type="bibr" rid="CIT0015">15</xref></sup> Using Epi Info STATCALC with 95&#x0025; confidence interval, the minimum required sample was 168 participants.<sup><xref ref-type="bibr" rid="CIT0016">16</xref></sup> Simple random sampling was employed to recruit 216 healthcare workers who provided informed consent.</p>
</sec>
<sec id="s20005">
<title>Data collection and instrumentation</title>
<p>Self-administered structured questionnaires captured sociodemographic characteristics, MVD knowledge, attitudes, perceptions and preparedness measures. The instrument was adapted from validated frameworks used in previous infectious disease studies<sup><xref ref-type="bibr" rid="CIT0017">17</xref>,<xref ref-type="bibr" rid="CIT0018">18</xref></sup> and pretested among 20 healthcare workers (excluded from final analysis) to ensure clarity and reliability. Questionnaires were administered via Google Forms or paper format based on participant preference.</p>
</sec>
<sec id="s20006">
<title>Data analysis</title>
<p>Data analysis was conducted using Stata 17. Descriptive statistics summarised categorical variables using frequencies and proportions, while chi-square tests identified significant associations between variables. Results are presented as absolute numbers and percentages, with statistical significance set at <italic>p</italic> &#x003C; 0.05.</p>
</sec>
<sec id="s20007">
<title>Ethical considerations</title>
<p>Ethical approval was obtained from the Health Research Ethics Committee of Irrua Specialist Teaching Hospital on 20 May 2024. The ethical registration number is: NHREC/29/03/2017 and the protocol number is: ISTH/HREC/20240904/591. Participants provided written informed consent before questionnaire completion, with confidentiality maintained through secure data storage on password-protected devices accessible only to researchers.</p>
</sec>
</sec>
<sec id="s0008">
<title>Results</title>
<sec id="s20009">
<title>Participants&#x2019; characteristics</title>
<p>Of the 216 participants, 126 (58.3&#x0025;) were doctors and 90 (41.7&#x0025;) were nurses. Nurses had a significantly higher median age (38 years) than doctors (29 years, <italic>p</italic> &#x003C; 0.001). Most doctors (69.1&#x0025;) were in early career stages with 0&#x2013;5 years of experience, while 43.3&#x0025; of nurses had over 10 years of experience. Significant gender differences existed, with 75.6&#x0025; of nurses being female compared to 30.2&#x0025; of doctors (<italic>p</italic> &#x003C; 0.001). Participants were distributed across various departments, with the largest representations in Obstetrics and Gynaecology (24.6&#x0025; of doctors, 12.2&#x0025; of nurses) and Surgery (19.1&#x0025; of doctors, 14.4&#x0025; of nurses). The distribution of the doctors&#x2019; and nurses&#x2019; departments is shown in <xref ref-type="table" rid="T0001">Table 1</xref>.</p>
<table-wrap id="T0001">
<label>TABLE 1</label>
<caption><p>Sociodemographic characteristics of respondents.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Variable</th>
<th valign="top" align="center" colspan="3">Doctors <italic>N</italic> = 126<hr/></th>
<th valign="top" align="center" colspan="3">Nurses <italic>N</italic> = 90<hr/></th>
<th valign="top" align="center" rowspan="2">&#x03C7;<sup>2</sup></th>
<th valign="top" align="center" rowspan="2"><italic>p</italic>-value</th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center">Median age</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center">Median age</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" colspan="9"><bold>Age group (years)</bold></td>
</tr>
<tr>
<td align="left">16&#x2013;24</td>
<td align="center">7</td>
<td align="center">5.6</td>
<td align="center">-</td>
<td align="center">10</td>
<td align="center">11.1</td>
<td align="center">-</td>
<td align="center">29.365</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">25&#x2013;33</td>
<td align="center">72</td>
<td align="center">57.1</td>
<td align="center">-</td>
<td align="center">23</td>
<td align="center">25.6</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">34&#x2013;42</td>
<td align="center">35</td>
<td align="center">27.8</td>
<td align="center">-</td>
<td align="center">27</td>
<td align="center">30.0</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">43&#x2013;51</td>
<td align="center">12</td>
<td align="center">9.5</td>
<td align="center">-</td>
<td align="center">30</td>
<td align="center">33.3</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">29 (29, 38)</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">38 (29, 47)</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left" colspan="9"><bold>Sex</bold></td>
</tr>
<tr>
<td align="left">Female</td>
<td align="center">38</td>
<td align="center">30.2</td>
<td align="center">-</td>
<td align="center">68</td>
<td align="center">75.6</td>
<td align="center">-</td>
<td align="center">63.659</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">Male</td>
<td align="center">81</td>
<td align="center">64.3</td>
<td align="center">-</td>
<td align="center">9</td>
<td align="center">10.0</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Prefer not to say</td>
<td align="center">7</td>
<td align="center">5.6</td>
<td align="center">-</td>
<td align="center">13</td>
<td align="center">14.4</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="9"><bold>Years of experience</bold></td>
</tr>
<tr>
<td align="left">0&#x2013;5</td>
<td align="center">87</td>
<td align="center">69.1</td>
<td align="center">-</td>
<td align="center">33</td>
<td align="center">36.7</td>
<td align="center">-</td>
<td align="center">22.418</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">6&#x2013;10</td>
<td align="center">11</td>
<td align="center">8.7</td>
<td align="center">-</td>
<td align="center">18</td>
<td align="center">20.0</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x003E; 10</td>
<td align="center">28</td>
<td align="center">22.2</td>
<td align="center">-</td>
<td align="center">39</td>
<td align="center">43.3</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="9"><bold>Department</bold></td>
</tr>
<tr>
<td align="left">Anaesthesiology</td>
<td align="center">2</td>
<td align="center">1.6</td>
<td align="center">-</td>
<td align="center">3</td>
<td align="center">3.3</td>
<td align="center">-</td>
<td align="center">15.617</td>
<td align="center">0.075</td>
</tr>
<tr>
<td align="left">Community medicine</td>
<td align="center">5</td>
<td align="center">4.0</td>
<td align="center">-</td>
<td align="center">9</td>
<td align="center">10.0</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Dentistry</td>
<td align="center">1</td>
<td align="center">0.8</td>
<td align="center">-</td>
<td align="center">5</td>
<td align="center">5.6</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Internal medicine</td>
<td align="center">22</td>
<td align="center">17.5</td>
<td align="center">-</td>
<td align="center">12</td>
<td align="center">13.3</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Mental health</td>
<td align="center">5</td>
<td align="center">4.0</td>
<td align="center">-</td>
<td align="center">2</td>
<td align="center">2.2</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Obstetrics and gynaecology</td>
<td align="center">31</td>
<td align="center">24.6</td>
<td align="center">-</td>
<td align="center">11</td>
<td align="center">12.2</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Paediatrics</td>
<td align="center">9</td>
<td align="center">7.1</td>
<td align="center">-</td>
<td align="center">10</td>
<td align="center">11.1</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Radiology</td>
<td align="center">6</td>
<td align="center">4.8</td>
<td align="center">-</td>
<td align="center">6</td>
<td align="center">6.7</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Surgery</td>
<td align="center">24</td>
<td align="center">19.1</td>
<td align="center">-</td>
<td align="center">13</td>
<td align="center">14.4</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Others</td>
<td align="center">21</td>
<td align="center">16.7</td>
<td align="center">-</td>
<td align="center">19</td>
<td align="center">21.1</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Note: Some percentages may not sum up to 100 because of rounding.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s20010">
<title>Knowledge of Marburg virus disease</title>
<p>Overall, as shown in <xref ref-type="fig" rid="F0001">Figure 1</xref>, 125 participants (57.9&#x0025;) demonstrated awareness of MVD symptoms, with doctors showing significantly higher knowledge levels (65.9&#x0025;) than nurses (46.7&#x0025;). Fever was the most recognised symptom (68.0&#x0025;), followed by bleeding (33.6&#x0025;), headache (24.8&#x0025;), body pains (18.4&#x0025;) and vomiting (11.2&#x0025;). As highlighted in <xref ref-type="table" rid="T0002">Table 2</xref>, doctors demonstrated superior recognition of fever (77.1&#x0025; vs. 50.0&#x0025;, <italic>p</italic> &#x003C; 0.001) and bleeding (44.6&#x0025; vs. 11.9&#x0025;) as symptoms, while nurses more frequently identified vomiting (16.7&#x0025; vs. 8.4&#x0025;).</p>
<fig id="F0001">
<label>FIGURE 1</label>
<caption><p>Respondents&#x2019; awareness of symptoms associated with Marburg virus disease.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="SAJID-41-764-g001.tif"/>
</fig>
<table-wrap id="T0002">
<label>TABLE 2</label>
<caption><p>Awareness of symptoms associated with Marburg virus disease.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Variable</th>
<th valign="top" align="center" colspan="2">Doctors <italic>N</italic> = 83<hr/></th>
<th valign="top" align="center" colspan="2">Nurses <italic>N</italic> = 42<hr/></th>
<th valign="top" align="center" rowspan="2">&#x03C7;<sup>2</sup></th>
<th valign="top" align="center" rowspan="2"><italic>p</italic>-value</th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Fever</td>
<td align="center">64</td>
<td align="center">77.1</td>
<td align="center">21</td>
<td align="center">50.0</td>
<td align="center">16.588</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">Bleeding</td>
<td align="center">37</td>
<td align="center">44.6</td>
<td align="center">5</td>
<td align="center">11.9</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Headache</td>
<td align="center">19</td>
<td align="center">22.9</td>
<td align="center">12</td>
<td align="center">28.6</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Body pains</td>
<td align="center">19</td>
<td align="center">22.9</td>
<td align="center">4</td>
<td align="center">9.5</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Vomiting</td>
<td align="center">7</td>
<td align="center">8.4</td>
<td align="center">7</td>
<td align="center">16.7</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Formal MVD training was limited, with only 19.1&#x0025; of doctors and 10.0&#x0025; of nurses having received specific training. Healthcare workers obtained information primarily through online resources (54.8&#x0025; of doctors, 42.2&#x0025; of nurses), workshops or seminars (33.3&#x0025; of doctors, 48.9&#x0025; of nurses) and professional journals (42.9&#x0025; of doctors, 32.2&#x0025; of nurses).</p>
<p>Knowledge of transmission risk factors varied significantly between professional groups (see <xref ref-type="table" rid="T0003">Table 3</xref>). Doctors demonstrated superior understanding of key risk factors including close contact with infected individuals (69.1&#x0025; vs. 46.7&#x0025;, <italic>p</italic> = 0.001), contact with infected fluids or surfaces (61.1&#x0025; vs. 32.2&#x0025;, <italic>p</italic> &#x003C; 0.001), prolonged bat exposure (40.5&#x0025; vs. 11.1&#x0025;, <italic>p</italic> &#x003C; 0.001) and participation in burial ceremonies (35.7&#x0025; vs. 10.0&#x0025;, <italic>p</italic> &#x003C; 0.001).</p>
<table-wrap id="T0003">
<label>TABLE 3</label>
<caption><p>Respondents&#x2019; knowledge sources of Marburg virus disease.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Variable</th>
<th valign="top" align="center" colspan="2">Doctors <italic>N</italic> = 126<hr/></th>
<th valign="top" align="center" colspan="2">Nurses <italic>N</italic> = 90<hr/></th>
<th valign="top" align="center" rowspan="2">&#x03C7;<sup>2</sup></th>
<th valign="top" align="center" rowspan="2"><italic>p</italic>-value</th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" colspan="7"><bold>Received formal training on MVD</bold></td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">24</td>
<td align="center">19.1</td>
<td align="center">9</td>
<td align="center">10.0</td>
<td align="center">3.320</td>
<td align="center">0.068</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">102 (80.9)</td>
<td align="center">-</td>
<td align="center">81</td>
<td align="center">90.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Source of information about infectious diseases<xref ref-type="table-fn" rid="TFN0001">&#x002A;</xref></bold></td>
</tr>
<tr>
<td align="left">Online resources</td>
<td align="center">69</td>
<td align="center">54.8</td>
<td align="center">38</td>
<td align="center">42.2</td>
<td align="center">3.302</td>
<td align="center">0.069</td>
</tr>
<tr>
<td align="left">Workshops or seminars</td>
<td align="center">42</td>
<td align="center">33.3</td>
<td align="center">44</td>
<td align="center">48.9</td>
<td align="center">5.302</td>
<td align="center">0.021</td>
</tr>
<tr>
<td align="left">Professional journals</td>
<td align="center">54</td>
<td align="center">42.9</td>
<td align="center">29</td>
<td align="center">32.2</td>
<td align="center">2.510</td>
<td align="center">0.113</td>
</tr>
<tr>
<td align="left">Official health bulletins</td>
<td align="center">31</td>
<td align="center">24.6</td>
<td align="center">18</td>
<td align="center">20.0</td>
<td align="center">0.634</td>
<td align="center">0.426</td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Knowledge of risk factors<xref ref-type="table-fn" rid="TFN0001">&#x002A;</xref></bold></td>
</tr>
<tr>
<td align="left">Close contact with infected individuals</td>
<td align="center">87</td>
<td align="center">69.1</td>
<td align="center">42</td>
<td align="center">46.7</td>
<td align="center">10.932</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="left">Contact with infected fluid, secretions or surfaces</td>
<td align="center">77</td>
<td align="center">61.1</td>
<td align="center">29</td>
<td align="center">32.2</td>
<td align="center">17.532</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">Needle stick injuries</td>
<td align="center">43</td>
<td align="center">34.1</td>
<td align="center">32</td>
<td align="center">35.6</td>
<td align="center">0.047</td>
<td align="center">0.828</td>
</tr>
<tr>
<td align="left">Prolonged exposure to bats</td>
<td align="center">51</td>
<td align="center">40.5</td>
<td align="center">10</td>
<td align="center">11.1</td>
<td align="center">22.339</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">Burial ceremonies involving close contact with the dead body</td>
<td align="center">45</td>
<td align="center">35.7</td>
<td align="center">9</td>
<td align="center">10.0</td>
<td align="center">18.514</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">Eating contaminated food</td>
<td align="center">27</td>
<td align="center">21.4</td>
<td align="center">18</td>
<td align="center">20.0</td>
<td align="center">0.065</td>
<td align="center">0.799</td>
</tr>
<tr>
<td align="left">Sexual contact with an infected partner</td>
<td align="center">30</td>
<td align="center">23.8</td>
<td align="center">15</td>
<td align="center">16.7</td>
<td align="center">1.624</td>
<td align="center">0.203</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN0001"><label>&#x002A;</label><p>Multiple response.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s20011">
<title>Attitudes, perceptions and preparedness</title>
<p>As detailed in <xref ref-type="table" rid="T0004">Table 4</xref>, confidence levels varied markedly between doctors and nurses. Regarding hospital preparedness, nurses expressed significantly higher confidence (65.6&#x0025;) compared to doctors (32.5&#x0025;, <italic>p</italic> &#x003C; 0.001). Similarly, more nurses felt confident in their ability to educate patients and communities about MVD (60.0&#x0025; vs 42.9&#x0025;, <italic>p</italic> = 0.009).</p>
<table-wrap id="T0004">
<label>TABLE 4</label>
<caption><p>Respondents&#x2019; attitudes, perceptions and preparedness towards an outbreak of Marburg virus disease.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Variable</th>
<th valign="top" align="center" colspan="2">Doctors <italic>N</italic> = 126<hr/></th>
<th valign="top" align="center" colspan="2">Nurses <italic>N</italic> = 90<hr/></th>
<th valign="top" align="center" rowspan="2">&#x03C7;<sup>2</sup></th>
<th valign="top" align="center" rowspan="2"><italic>p</italic>-value</th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" colspan="7"><bold>Confidence in knowledge of MVD</bold></td>
</tr>
<tr>
<td align="left">Confident</td>
<td align="center">36</td>
<td align="center">28.6</td>
<td align="center">28</td>
<td align="center">31.1</td>
<td align="center">0.974</td>
<td align="center">0.614</td>
</tr>
<tr>
<td align="left">Neutral</td>
<td align="center">40</td>
<td align="center">31.8</td>
<td align="center">23</td>
<td align="center">25.6</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Not confident</td>
<td align="center">50</td>
<td align="center">39.7</td>
<td align="center">39</td>
<td align="center">43.3</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Confidence in the ability to educate patients and the community about MVD</bold></td>
</tr>
<tr>
<td align="left">Confident</td>
<td align="center">54</td>
<td align="center">42.9</td>
<td align="center">54</td>
<td align="center">60.0</td>
<td align="center">9.495</td>
<td align="center">0.009</td>
</tr>
<tr>
<td align="left">Neutral</td>
<td align="center">42</td>
<td align="center">33.3</td>
<td align="center">14</td>
<td align="center">15.6</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Not confident</td>
<td align="center">30</td>
<td align="center">23.8</td>
<td align="center">22</td>
<td align="center">24.4</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Confidence in hospitals preparedness to handle MVD cases</bold></td>
</tr>
<tr>
<td align="left">Confident</td>
<td align="center">41</td>
<td align="center">32.5</td>
<td align="center">59</td>
<td align="center">65.6</td>
<td align="center">23.428</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">Neutral</td>
<td align="center">42</td>
<td align="center">33.3</td>
<td align="center">13</td>
<td align="center">14.4</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Not confident</td>
<td align="center">43</td>
<td align="center">34.1</td>
<td align="center">18</td>
<td align="center">20.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Believes there are established protocols in hospital for handling suspected cases of MVD</bold></td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">46</td>
<td align="center">36.5</td>
<td align="center">52</td>
<td align="center">57.8</td>
<td align="center">9.583</td>
<td align="center">0.002</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">80</td>
<td align="center">63.5</td>
<td align="center">38</td>
<td align="center">42.2</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Feels adequately equipped with protective gear to handle potential cases of MVD</bold></td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">48</td>
<td align="center">38.1</td>
<td align="center">44</td>
<td align="center">48.9</td>
<td align="center">22.527</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">55</td>
<td align="center">43.7</td>
<td align="center">13</td>
<td align="center">14.4</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Partially</td>
<td align="center">23</td>
<td align="center">18.2</td>
<td align="center">33</td>
<td align="center">36.7</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Perceived risk of MVD outbreak in hospital</bold></td>
</tr>
<tr>
<td align="left">It may happen</td>
<td align="center">75</td>
<td align="center">59.5</td>
<td align="center">51</td>
<td align="center">56.7</td>
<td align="center">1.503</td>
<td align="center">0.472</td>
</tr>
<tr>
<td align="left">It is unlikely to happen</td>
<td align="center">48</td>
<td align="center">38.1</td>
<td align="center">34</td>
<td align="center">37.8</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">It is impossible</td>
<td align="center">3</td>
<td align="center">2.4</td>
<td align="center">5</td>
<td align="center">5.6</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Believes health care workers are at higher risk of contracting MVD compared to the general population</bold></td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">102</td>
<td align="center">81.0</td>
<td align="center">56</td>
<td align="center">62.2</td>
<td align="center">9.542</td>
<td align="center">0.008</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">9</td>
<td align="center">7.1</td>
<td align="center">11</td>
<td align="center">12.2</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Maybe</td>
<td align="center">15</td>
<td align="center">11.9</td>
<td align="center">23</td>
<td align="center">25.6</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="7"><bold>Measures to enhance awareness and preparedness for MVD among health workers<xref ref-type="table-fn" rid="TFN0002">&#x002A;</xref></bold></td>
</tr>
<tr>
<td align="left">Training of health workers</td>
<td align="center">107</td>
<td align="center">84.9</td>
<td align="center">60</td>
<td align="center">66.7</td>
<td align="center">9.974</td>
<td align="center"><bold>0.002</bold></td>
</tr>
<tr>
<td align="left">Regular seminars</td>
<td align="center">87</td>
<td align="center">69.1</td>
<td align="center">42</td>
<td align="center">46.7</td>
<td align="center">10.932</td>
<td align="center"><bold>0.001</bold></td>
</tr>
<tr>
<td align="left">Sharing of hand flyers and educational materials</td>
<td align="center">77</td>
<td align="center">61.1</td>
<td align="center">39</td>
<td align="center">43.3</td>
<td align="center">6.674</td>
<td align="center">0.010</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>MVD, Marburg virus disease.</p></fn>
<fn id="TFN0002"><label>&#x002A;</label><p>Multiple response some percentages may not sum up to 100 because of rounding.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Personal protective equipment adequacy was a major concern, with only 38.1&#x0025; of doctors and 48.9&#x0025; of nurses feeling adequately equipped. Most participants (63.5&#x0025; of doctors, 42.2&#x0025; of nurses) believed their hospital lacked established protocols for managing suspected MVD cases.</p>
<p>Risk perception showed that 81.0&#x0025; of doctors considered healthcare workers at higher risk than the general population, compared to 62.2&#x0025; of nurses (<italic>p</italic> = 0.008). Most participants viewed an MVD outbreak as possible (59.5&#x0025; of doctors, 56.7&#x0025; of nurses).</p>
<p>To enhance preparedness, participants recommended training programmes (84.9&#x0025; of doctors, 66.7&#x0025; of nurses), regular seminars (69.1&#x0025; of doctors, 46.7&#x0025; of nurses) and educational materials distribution (61.1&#x0025; of doctors, 43.3&#x0025; of nurses).</p>
</sec>
</sec>
<sec id="s0012">
<title>Discussion</title>
<p>This study reveals significant gaps in MVD health literacy and preparedness among healthcare workers at Nigeria&#x2019;s primary viral haemorrhagic disease reference centre. The findings demonstrate professional disparities in knowledge, concerning deficits in formal training and inadequate preparedness infrastructure.</p>
<p>The superior MVD knowledge among doctors compared to nurses reflects differences in clinical training and specialised exposure to complex infectious diseases. However, the overall knowledge levels remain suboptimal, with only 57.9&#x0025; of participants demonstrating symptom awareness. This finding aligns with a Guinea-based study where only 35.3&#x0025; of healthcare workers were aware of MVD.<sup><xref ref-type="bibr" rid="CIT0019">19</xref></sup> The heavy reliance on online resources for information raises concerns about misinformation, as highlighted during the Ebola outbreak in Uganda where over 70&#x0025; of healthcare workers cited social media as their primary information source.<sup><xref ref-type="bibr" rid="CIT0020">20</xref></sup></p>
<p>The minimal formal training rates (19.1&#x0025; of doctors, 10.0&#x0025; of nurses) represent a critical vulnerability in Nigeria&#x2019;s outbreak preparedness. This deficit is particularly concerning given that healthcare workers would serve as first responders during any MVD outbreak. Similar training inadequacies have been documented in other viral haemorrhagic fever contexts,<sup><xref ref-type="bibr" rid="CIT0021">21</xref>,<xref ref-type="bibr" rid="CIT0022">22</xref></sup> suggesting systemic weaknesses in preparedness education across the region.</p>
<p>The paradoxical finding that nurses expressed higher confidence in hospital preparedness than doctors (65.6&#x0025; vs. 32.5&#x0025;) warrants careful interpretation. This disparity may reflect nurses&#x2019; closer involvement in routine patient care protocols and greater familiarity with existing infection control measures. Conversely, doctors&#x2019; lower confidence might stem from a deeper understanding of the technical and logistical complexities required for MVD case management, including sophisticated laboratory diagnostics and intensive care capabilities.</p>
<p>The finding that less than half of healthcare workers felt adequately equipped with PPE represents a critical preparedness gap. This inadequacy mirrors challenges observed during previous viral haemorrhagic fever outbreaks<sup><xref ref-type="bibr" rid="CIT0019">19</xref></sup> and could significantly compromise healthcare worker safety and confidence during an actual outbreak. The absence of established protocols in many departments (63.5&#x0025; of doctors reporting no protocols) further undermines institutional preparedness.</p>
<p>Although this study did not directly assess infection prevention and control (IPC) knowledge, similar research across Nigeria has consistently reported gaps in healthcare workers&#x2019; adherence to standard precautions and infection control practices.<sup><xref ref-type="bibr" rid="CIT0023">23</xref>,<xref ref-type="bibr" rid="CIT0024">24</xref>,<xref ref-type="bibr" rid="CIT0025">25</xref>,<xref ref-type="bibr" rid="CIT0026">26</xref>,<xref ref-type="bibr" rid="CIT0027">27</xref>,<xref ref-type="bibr" rid="CIT0028">28</xref></sup> These contextual findings underscore the likelihood that such gaps may also influence preparedness for MVD and other viral haemorrhagic fevers. Consequently, strengthening training programmes that integrate IPC principles with outbreak-specific preparedness remains essential.</p>
<p>The coronavirus disease 2019 (COVID-19) pandemic demonstrated the transformative potential of digital technologies in outbreak response, from telemedicine platforms to artificial intelligence-powered surveillance systems.<sup><xref ref-type="bibr" rid="CIT0029">29</xref>,<xref ref-type="bibr" rid="CIT0030">30</xref></sup> These lessons offer valuable opportunities for addressing the identified preparedness gaps. Technology-enhanced training programmes could standardise MVD education across professional groups, while mobile health applications could facilitate real-time protocol updates and competency assessments.<sup><xref ref-type="bibr" rid="CIT0031">31</xref>,<xref ref-type="bibr" rid="CIT0032">32</xref></sup> Virtual reality simulation training has shown promise in enhancing emergency response capabilities among healthcare workers.<sup><xref ref-type="bibr" rid="CIT0033">33</xref></sup> Digital surveillance platforms could also improve PPE inventory management and supply chain coordination.<sup><xref ref-type="bibr" rid="CIT0034">34</xref>,<xref ref-type="bibr" rid="CIT0035">35</xref></sup></p>
<p>The importance of systematic training and education programmes for viral epidemic response has been emphasised in recent literature.<sup><xref ref-type="bibr" rid="CIT0036">36</xref></sup> Such programmes should incorporate both traditional and innovative approaches to ensure comprehensive preparedness among healthcare workers. The experience from previous outbreaks, including Ebola, has demonstrated that well-trained and prepared healthcare workers are essential for effective outbreak response and containment.<sup><xref ref-type="bibr" rid="CIT0037">37</xref>,<xref ref-type="bibr" rid="CIT0038">38</xref></sup></p>
<sec id="s20013">
<title>Recommendations</title>
<p>Based on these findings, several critical interventions are needed to strengthen MVD preparedness in Nigeria:</p>
<list list-type="order">
<list-item><p><italic>Training and Education:</italic> Implement comprehensive, role-specific MVD training programmes utilising both traditional and digital platforms. Regular workshops, simulation exercises and online modules should address knowledge gaps, particularly among nursing staff. Training should encompass symptom recognition, transmission pathways, infection control measures and case management protocols.</p></list-item>
<list-item><p><italic>Infrastructure Development:</italic> Ensure adequate PPE stockpiles across all departments with regular inventory assessments. Establish clear, evidence-based protocols for MVD case management and ensure all staff are familiar with these procedures. Improve diagnostic capabilities and ensure rapid laboratory confirmation processes are in place.</p></list-item>
<list-item><p><italic>Digital Integration:</italic> Leverage digital health technologies to enhance training delivery, competency assessment and real-time protocol updates. Implement digital surveillance systems for outbreak monitoring and resource allocation. Utilise mobile health platforms for continuous education and emergency communication.</p></list-item>
<list-item><p><italic>Interdisciplinary Collaboration:</italic> Foster collaborative training sessions between doctors and nurses to ensure cohesive outbreak response. Establish multidisciplinary rapid response teams with clearly defined roles and responsibilities.</p></list-item>
<list-item><p><italic>Continuous Monitoring:</italic> Implement regular assessments of healthcare worker preparedness and knowledge levels. Establish feedback mechanisms to continuously improve training programmes and preparedness protocols.</p></list-item>
</list>
</sec>
<sec id="s20014">
<title>Strengths and limitations</title>
<p>This study&#x2019;s primary strength lies in its focus on Nigeria&#x2019;s principal viral haemorrhagic disease reference centre, providing insights directly relevant to the country&#x2019;s outbreak response capacity. The substantial sample size (216 participants) and inclusion of both doctors and nurses enabled meaningful comparative analysis of professional preparedness differences. The comprehensive assessment covering knowledge, attitudes and preparedness provided multidimensional insights into healthcare worker readiness.</p>
<p>However, several limitations must be acknowledged. The single-centre design limits generalisability to other Nigerian healthcare facilities, particularly those without specialised viral haemorrhagic disease expertise. The study relied on self-reported perceptions and knowledge rather than objective competency assessments, which may introduce response bias. The cross-sectional design prevents assessment of knowledge and preparedness changes over time. Additionally, the study did not examine broader institutional factors such as hospital infrastructure, funding constraints or policy frameworks that influence preparedness capacity.</p>
<p>Furthermore, the study did not assess participants&#x2019; prior training or experience in managing other viral haemorrhagic fevers. Although healthcare workers at the study site routinely receive training related to Lassa fever management, most have limited or no formal exposure to MVD or other haemorrhagic fevers. This represents a potential limitation, as preparedness and disease-specific knowledge may differ between Lassa fever and other viral haemorrhagic infections. Future research should address these limitations through multicentre studies, objective competency assessments and broader institutional analysis.</p>
</sec>
</sec>
<sec id="s0015">
<title>Conclusion</title>
<p>This study reveals substantial gaps in MVD health literacy and outbreak preparedness among healthcare workers at Nigeria&#x2019;s primary viral haemorrhagic disease reference centre. Professional disparities in knowledge, minimal formal training opportunities and inadequate protective equipment represent critical vulnerabilities in Nigeria&#x2019;s outbreak response capacity. The paradoxical confidence levels between doctors and nurses highlight the complexity of preparedness assessment and the need for nuanced interventions.</p>
<p>Urgent action is required to implement comprehensive training programmes, strengthen preparedness infrastructure and leverage digital health technologies to enhance outbreak readiness. By addressing these gaps, Nigeria can significantly improve its capacity to respond effectively to MVD outbreaks and protect both healthcare workers and the broader population. These findings also raise important questions about existing protocols at viral haemorrhagic fever reference centres and the resources required to mount effective outbreak responses in Nigeria.</p>
<p>The COVID-19 pandemic demonstrated that preparedness investments made before outbreaks occur yield far greater returns than reactive responses. Nigeria must learn from these experiences and invest in healthcare worker preparedness now, before the next viral haemorrhagic fever outbreak occurs.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<sec id="s20016" sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no financial or personal relationships that may have inappropriately influenced them in writing this article.</p>
</sec>
<sec id="s20017">
<title>CRediT authorship contribution</title>
<p>Emmanuel O. Oisakede: Conceptualisation, Formal analysis, Writing &#x2013; original draft, Project administration, Writing &#x2013; review &#x0026; editing, Supervision. Daniel Asogun: Writing &#x2013; original draft, Project administration, Data curation, Writing &#x2013; review &#x0026; editing. Osahon Otaigbe: Formal analysis, Visualisation, Software. Iziengbe Iyoriobhe: Writing &#x2013; original draft, Data curation, Writing &#x2013; review &#x0026; editing. Emmanuel O. Erhieyovwe: Resources, Writing &#x2013; review &#x0026; editing. Airenakho Emorinken: Resources, Writing &#x2013; review &#x0026; editing. Martin Nwosu: Resources, Writing &#x2013; review &#x0026; editing. Uyi M. Osamudiamen: Resources, Writing - review &#x0026; editing. David Olawade: Resources, Writing &#x2013; review &#x0026; editing. All authors reviewed the article, contributed to the discussion of results, approved the final version for submission and publication and take responsibility for the integrity of its findings.</p>
</sec>
<sec id="s20018" sec-type="data-availability">
<title>Data availability</title>
<p>The datasets utilised and analysed during the study are available from the corresponding author, Emmanuel O. Oisakede, upon reasonable request.</p>
</sec>
<sec id="s20019">
<title>Disclaimer</title>
<p>The views and opinions expressed in this article are those of the authors and are the product of professional research. They do not necessarily reflect the official policy or position of any affiliated institution, funder, agency or that of the publisher.</p>
</sec>
</ack>
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<fn><p><bold>How to cite this article:</bold> Oisakede EO, Asogun D, Otaigbe O, et al. Assessment of healthcare worker preparedness and health literacy for Marburg virus disease in Nigeria: A cross-sectional study. S Afr J Infect Dis. 2026;41(1), a764. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4102/sajid.v41i1.764">https://doi.org/10.4102/sajid.v41i1.764</ext-link></p></fn>
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