<?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">AAS Open Res</journal-id>
            <journal-title-group>
                <journal-title>AAS Open Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2515-9321</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/aasopenres.13320.1</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>A mapping of health education institutions and programs in the WHO African Region</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved, 2 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Yarmoshuk</surname>
                        <given-names>Aaron N.</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/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-1391-2100</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Abomo</surname>
                        <given-names>Pierre</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/">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/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Fitzgerald</surname>
                        <given-names>Niamh</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/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Cole</surname>
                        <given-names>Donald C.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-1009-603X</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Fontanet</surname>
                        <given-names>Arnaud</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                    <xref ref-type="aff" rid="a6">6</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Adeola</surname>
                        <given-names>Henry A.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a7">7</xref>
                    <xref ref-type="aff" rid="a8">8</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Zarowsky</surname>
                        <given-names>Christina</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</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/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a9">9</xref>
                    <xref ref-type="aff" rid="a10">10</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Pulford</surname>
                        <given-names>Justin</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/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-4756-8480</uri>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>School of Public Health, University of the Western Cape, Bellville, South Africa</aff>
                <aff id="a2">
                    <label>2</label>Dalla Lana School of Public Health, University of Toronto, Toronto, Canada</aff>
                <aff id="a3">
                    <label>3</label>Centre for Capacity Research, Liverpool School of Tropical Medicine, Liverpool, UK</aff>
                <aff id="a4">
                    <label>4</label>Faculty of Arts and Science, University of Toronto, Toronto, Canada</aff>
                <aff id="a5">
                    <label>5</label>Centre for Global Health Research and Education, Institut Pasteur, Paris, France</aff>
                <aff id="a6">
                    <label>6</label>Conservatoire National des Arts et M&#x00e9;tiers, Paris, France</aff>
                <aff id="a7">
                    <label>7</label>Division of Dermatology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa</aff>
                <aff id="a8">
                    <label>8</label>Faculty of Dentistry, University of the Western Cape, Parow, South Africa</aff>
                <aff id="a9">
                    <label>9</label>CReSP-UMontr&#x00e9;al, Universit&#x00e9; de Montr&#x00e9;al, Montr&#x00e9;al, Canada</aff>
                <aff id="a10">
                    <label>10</label>CIUSS Centre-Sud de Montr&#x00e9;al, Universit&#x00e9; de Montr&#x00e9;al, Montr&#x00e9;al, Canada</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:aaron.yarmoshuk@gmail.com">aaron.yarmoshuk@gmail.com</email>
                </corresp>
                <fn id="FN1">
                    <p>*Co-first authors</p>
                </fn>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>14</day>
                <month>12</month>
                <year>2021</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2021</year>
            </pub-date>
            <volume>4</volume>
            <elocation-id>55</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>24</day>
                    <month>11</month>
                    <year>2021</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2021 Yarmoshuk AN et al.</copyright-statement>
                <copyright-year>2021</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://openresearchafrica.org/articles/4-55/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> Information on health education institutions is required for planning, implementing and monitoring human resources for health strategies. Details on the number, type and distribution of medical and health science programs offered by African higher education institutions remains scattered. </p>
                <p>
                    <bold>Methods:</bold> We merged and updated datasets of health professional and post-graduate programs to develop a mapping of health education institutions covering the World Health Organization African Region as of 2021.</p>
                <p>
                    <bold>Results:</bold> Nine hundred and nine (909) institutions were identified in the 47 countries. Together they offered 1,157 health professional programs (235 medicine, 718 nursing, 77 public health and 146 pharmacy) and 1,674 post-graduate programs (42 certificates, 1,152 Master&#x2019;s and 480 PhDs). Regionally, East Africa had the most countries with multiple academic health science centres - institutions offering medical degrees and at least one other health professional program. Among countries, South Africa had the most institutions and post-graduate programs with 182 and 596, respectfully. A further five countries had between 53-105 institutions, 12 countries had between 10 and 37 institutions, and 28 countries had between one and eight institutions. One country had no institution. Countries with the largest populations and gross domestic products had significantly more health education institutions and produced more scientific research (ANOVA testing).</p>
                <p>
                    <bold>Discussion:</bold> We envision an online database being made available in a visually attractive, user-friendly, open access format that nationally, registered institutions can add to and update. This would serve the needs of trainees, administrators, planners and researchers alike and support the World Health Organization&#x2019;s 
                    <italic toggle="yes">Global strategy on human resources for health: workforce 2030</italic>.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>health education</kwd>
                <kwd>Africa</kwd>
                <kwd>medicine</kwd>
                <kwd>public health</kwd>
                <kwd>nursing</kwd>
                <kwd>post-graduate</kwd>
                <kwd>research</kwd>
                <kwd>university</kwd>
                <kwd>health professional programs</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="http://dx.doi.org/10.13039/100010269">
                    <funding-source>Wellcome Trust</funding-source>
                    <award-id>200918/Z/16/Z</award-id>
                </award-group>
                <award-group id="fund-2" xlink:href="http://dx.doi.org/10.13039/501100000193">
                    <funding-source>International Development Research Centre</funding-source>
                </award-group>
                <funding-statement>This work was supported with funding from the Wellcome Trust (grant #200918/Z/16/Z) and UKAID, through the Department for International Development (DFID), and was conducted in partnership with the African Academy of Sciences (AAS)&#x2019;s and New Partnership for Africa&#x2019;s Development Planning and Coordinating Agency (NEPAD Agency)&#x2019;s Alliance for Accelerating Excellence in Science in Africa (AESA). The views expressed in this publication are those of the author(s) and not necessarily those of AAS, NEPAD Agency, Wellcome Trust or DFID. 
This work reports data obtained through the Health Research Capacity Strengthening Initiative - Global Learning (HRCS Learning-Global) funded by IDRC (Canada).</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec>
            <title>Abbreviations</title>
            <p>AHSCs&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;academic health science centres</p>
            <p>AUF&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Agence Universitaire de la Francophonie</p>
            <p>COHRED&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Council on Health Research for Development</p>
            <p>ECFMG&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Educational Commission for Foreign Medical Graduates</p>
            <p>GDPs&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;gross domestic products</p>
            <p>HEIs&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;health education institutions</p>
            <p>HRH&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;human resources for health</p>
            <p>WDOMS&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;World Directory of Medical Schools</p>
            <p>PGPs&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;post graduate programs</p>
            <p>SANC&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;South African Nursing Council</p>
            <p>SSA&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;sub-Saharan Africa</p>
            <p>UK&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;United Kingdom</p>
            <p>USA&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;United States of America</p>
        </sec>
        <sec sec-type="intro">
            <title>Introduction</title>
            <p>The shortage of health personnel in the World Health Organization African Region (WHO AFR
                <sup>
                    <xref ref-type="other" rid="FN2">1</xref>
                </sup>) is well documented
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-4">4</xref>
                </sup>. Equally well documented is the relatively low research output of the African continent relative to other regions
                <sup>
                    <xref ref-type="bibr" rid="ref-5">5</xref>,
                    <xref ref-type="bibr" rid="ref-6">6</xref>
                </sup>. IJsselmuiden 
                <italic toggle="yes">et al</italic>.
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup> mapped advanced public health programs in Africa and Mullan 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-8">8</xref>
                </sup> mapped sub-Saharan African medical programs over a decade ago. Klopper and Uys
                <sup>
                    <xref ref-type="bibr" rid="ref-9">9</xref>
                </sup> produced a book on nursing education in Africa, but it included mainly Anglophone countries and is not available widely in African libraries
                <sup>
                    <xref ref-type="other" rid="FN3">2</xref>
                </sup>. These three sources took important steps towards mapping health education institutions (HEIs)
                <sup>
                    <xref ref-type="other" rid="FN4">3</xref>
                </sup> but most have lagged behind advances. For example, Ethiopia increased the number of medical schools from five to 23 between 2003 and 2009
                <sup>
                    <xref ref-type="bibr" rid="ref-10">10</xref>
                </sup>, yet the Mullan 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-8">8</xref>
                </sup> mapping listed only 12.</p>
            <p>Objective Four of the WHO&#x2019;s 
                <italic toggle="yes">Global strategy on human resources for health</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-11">11</xref>
                </sup> addresses the need to strengthen human resources for health (HRH)
                <sup>
                    <xref ref-type="other" rid="FN5">4</xref>
                </sup> data to improve &#x201c;monitoring and accountability of national and regional strategies &#x2026;.&#x201d; The first milestone for this objective is, &#x201c;[B]y 2020, all countries will have made progress to establish registries to track health workforce stock, education, distribution, flows, demand, capacity and remuneration&#x201d; (Ibid. p.33]. An accessible, up-to-date mapping of health education throughout WHO AFR would help to reach one part of this milestone. It would assist institutions offering and considering offering programs, African students and planners in ministries of health and education, as well as granting agencies, institutions, and individuals interested in supporting HRH development throughout the region.</p>
            <p>This paper presents a first joint mapping of institutions offering health education programs in WHO AFR and discusses issues concerning their distribution. It concludes by proposing a format that would allow the data set to be updated on an ongoing basis and accessed freely by all stakeholders.</p>
        </sec>
        <sec>
            <title>The WHO African Region</title>
            <p>The authors chose to map WHO AFR for a number of reasons. First, this paper builds on two data sets that both stated they mapped &#x201c;sub-Saharan Africa (SSA)&#x201d; though included countries differed. Two, SSA is not a formal region of the world
                <sup>
                    <xref ref-type="other" rid="FN6">5</xref>
                </sup>. Three, WHO AFR is the main UN agency for health in Africa. Of course, mapping health programs in all members of the African Union would have been preferable but the resources of the team were limited. . </p>
            <p>WHO AFR consists of 47 members of the African Union
                <sup>
                    <xref ref-type="other" rid="FN7">6</xref>
                </sup>. The top 10 (21%) most populous countries account for 66% of the region&#x2019;s population, led by Nigeria with 18.4% and Ethiopia with 10.3%. WHO AFR works in three official languages, listing 22 countries as English-speaking, 21 as French-speaking and four as Portuguese-speaking. The AU has five sub-regions: North, Southern, East, West and Central.
                <sup>
                    <xref ref-type="other" rid="FN8">7</xref>
                </sup>. </p>
            <p>The economies of the countries range in size from approximately US$400 billion for Nigeria to US$400 million for S&#x00e3;o Tom&#x00e9; and Pr&#x00ed;ncipe. Average per capita income ranges from US$16,434 (30,557 Int&#x2019;l$
                <sup>
                    <xref ref-type="other" rid="FN9">8</xref>
                </sup>) in Seychelles to US$272 (744 Int&#x2019;l$) for Burundi. South Africa is the most economically unequal member with a GINI Index of 63, Algeria the most equal with a GINI Index of 27.6. The Anglophone countries represent 67.5% of the GDP of WHO AFR, Francophone 25.7% and Lusophone 6.7%.</p>
            <p>Current average health expenditure per capita ranges from 1,207 Int&#x2019;l$ in Mauritius to 30 Int&#x2019;l$ in the Central African Republic. Regarding human resources for health, Liberia has the fewest nurses per 1,000 people with 0.10 and South Africa the most at 3.52, Malawi the fewest physicians per 1,000 people with 0.02 and Mauritius the most with 2.02 and Sierra Leona has the fewest specialist surgical workforce per 100,000 with 0.13 and Seychelles the most with 48.57
                <sup>
                    <xref ref-type="other" rid="FN10">9</xref> 
                    <xref ref-type="bibr" rid="ref-12">12</xref>
                </sup>. Centre for Capacity Research
                <sup>
                    <xref ref-type="bibr" rid="ref-12">12</xref>
                </sup> includes a complete listing of the 47 countries of the region with key geographic, demographic, economic, health, human resources for health and research indicators, extracted from World Bank
                <sup>
                    <xref ref-type="other" rid="FN11">10</xref>
                </sup> and UNESCO sources
                <sup>
                    <xref ref-type="other" rid="FN12">11</xref>,
                    <xref ref-type="other" rid="FN13">12</xref>
                </sup>. </p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <p>A team from the University of the Western Cape in South Africa and the University of Toronto in Canada developed the first data set of health professional programs (HPPs) in 2011. The second data set, of health post graduate programs (PGPs), was developed by a team from the Liverpool School of Tropical Medicine in the United Kingdom (UK) and the Institute Pasteur in France in 2017.</p>
            <sec>
                <title>Health professional programs</title>
                <p>The first team mapped three HPPs (medicine, nursing and public health) in all WHO AFR countries except Algeria. Specifically, first-degree medicine programs (e.g. MD, MBBS, doctorat de medicine and dipl&#x00f4;me d'&#x00c9;tat de docteur en medicine), nursing programs (in which a diploma or bachelor&#x2019;s degree was earned) and public health programs (in which an MPH, MHSc or M.Med in Community Medicine or equivalent were earned) were mapped. Different campuses of the same institution were counted as separate institutions.</p>
                <p>The initial sources of data for the three types of HPPs were the Sub-Saharan African Medical Schools Study
                    <sup>
                        <xref ref-type="bibr" rid="ref-8">8</xref>
                    </sup>, the Health Training Institutions WHO AFRO Data 2005.xls
                    <sup>
                        <xref ref-type="other" rid="FN14">13</xref>
                    </sup> for nursing, and the Council on Health Research for Development (COHRED) database of African public health schools
                    <sup>
                        <xref ref-type="other" rid="FN15">14</xref>
                    </sup>. The initial findings were complemented with information from 
                    <italic toggle="yes">The Guide to Higher Education</italic>
                    <sup>
                        <xref ref-type="bibr" rid="ref-13">13</xref>
                    </sup>, university web-sites and Wikipedia. In the latter two cases, searchers were conducted using the specific names of universities already identified and the terms &#x201c;medical&#x201d;, &#x201c;nursing&#x201d; or &#x201c;public health&#x201d; and &#x201c;schools&#x201d; or &#x201c;program&#x201d; (mes) and &#x201c;Africa&#x201d;. All data was entered into a MS Excel spreadsheet. The findings were analysed using SPPS and presented at two conferences
                    <sup>
                        <xref ref-type="other" rid="FN16">15</xref>,
                        <xref ref-type="other" rid="FN17">16</xref>
                    </sup> and on a website
                    <sup>
                        <xref ref-type="other" rid="FN18">17</xref>
                    </sup> (see 
                    <xref ref-type="fig" rid="f1">Figure 1</xref>).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>Screenshot of 
                            <ext-link ext-link-type="uri" xlink:href="http://www.hppafrica.org/">www.hppafrica.org</ext-link>.</title>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://openresearchafrica-files.f1000.com/manuscripts/14450/a7aa62fb-5015-4e30-8cb4-84a4c7adaae3_figure1.gif"/>
                </fig>
            </sec>
            <sec>
                <title>Post-graduate programs</title>
                <p>The second team mapped four groupings of PGPs in SSA countries: 1) medical sciences; 2) biomedical sciences; 3) public health; and 4) &#x2018;other&#x2019; health-related disciplines. &#x201c;Medical sciences&#x201d; consisted of second degrees, fellowships and diplomas in clinical fields including dentistry, medicine, nursing and pharmacy. &#x201c;Biomedical sciences&#x201d; consisted of life science programs directly relevant or applied to medicine. &#x201c;Public health&#x201d; included programs examining populations health and health promotion, for example epidemiology, biostatistics and nutrition. &#x201c;Other&#x201d; included all other health-related programs, for example health economics and hospital management.</p>
                <p>Information was gathered online from March to August 2017 using: institutional registries; websites of HEIs in SSA; websites of the Ministries of Education and Health (to identify universities and schools of health training); websites of national accreditation bodies for health diplomas; and online registries such as the World Directory of Medical Schools
                    <sup>
                        <xref ref-type="other" rid="FN19">18</xref>
                    </sup> and information available from the Agence Universitaire de la Francophonie (AUF)
                    <sup>
                        <xref ref-type="other" rid="FN20">19</xref>
                    </sup> and the Foundation for Advancement of International Medical Education and Research (FAIMER)
                    <sup>
                        <xref ref-type="other" rid="FN21">20</xref>
                    </sup>. Google searches used the names of countries or institutions and the keywords "Health Education in sub-Saharan Africa", "Health Education Institutions in sub-Saharan Africa", "Health Education in sub-Saharan Africa", and "Opportunities for Higher Education in sub-Saharan Africa". The findings were posted on the web-site of the Liverpool School of Tropical Medicine
                    <sup>
                        <xref ref-type="other" rid="FN22">21</xref>
                    </sup> and included in a written report
                    <sup>
                        <xref ref-type="other" rid="FN23">22</xref>
                    </sup>.</p>
            </sec>
            <sec>
                <title>Updating and merging into a common data set</title>
                <p>The HPP data set was updated and expanded, as practicable. The 
                    <italic toggle="yes">World Directory of Medical Schools
                        <sup>
                            <xref ref-type="other" rid="FN24">23</xref>
                        </sup>
                    </italic> (MDOMS) was accessed to update medical schools. Since only schools that have applied for certification from the Educational Commission for Foreign Medical Graduates (ECFMG) in the United States (US) were included in MDOMS, we included some unlisted medical programs,
                    <sup>
                        <xref ref-type="other" rid="FN25">24</xref>
                    </sup> in particular some non-anglophone programmes identified from other sources. Similarly, the HPP dataset had nursing programs not included in the South African Nursing Council (SANC) lists of accredited nursing education institutions available online
                    <sup>
                        <xref ref-type="other" rid="FN26">25</xref>
                    </sup> and some institutional names and/or locations (town or city) had changed. South African programs not recognized by the SANC were deleted and institutions names and cities were updated. Pharmacy programs were added using information from the International Pharmaceutical Federation
                    <sup>
                        <xref ref-type="other" rid="FN27">26</xref>
                    </sup> and national online sources, such as the Ghana Pharmacy Council web-site of accredited programs
                    <sup>
                        <xref ref-type="other" rid="FN28">27</xref>
                    </sup>. In addition, Algerian institutions with medicine and pharmacy programs were added (not nursing nor public health programs, however) and PGPs were added for only one Algerian institution
                    <sup>
                        <xref ref-type="other" rid="FN29">28</xref>
                    </sup>. The HPP and PGP data sets were merged manually to create a common data set with the number of institutions that had health education programs in medicine, nursing, public health, pharmacy and/or the number of PGPs each HEI offered in the health sciences - see Centre for Capacity Research
                    <sup>
                        <xref ref-type="bibr" rid="ref-14">14</xref>
                    </sup>. </p>
            </sec>
            <sec>
                <title>Analyses</title>
                <p>We produced two MSExcel tables: one of HEIs with binary &#x201c;yes&#x201d; or &#x201c;no&#x201d; columns for medicine, nursing, public health and pharmacy programs
                    <sup>
                        <xref ref-type="bibr" rid="ref-14">14</xref>
                    </sup>; and another listing all 47 WHO AFR countries and the total number of each HPPs, PGPs, HEIs, academic health science centres (AHSCs) and selected indicators from
                    <sup>
                        <xref ref-type="bibr" rid="ref-12">12</xref>
                    </sup>. AHSCs, institutions with a medical school and at least one other health professional program and a teaching hospital, were highlighted because they have the tripartite mission of providing education, conducting research and performing service, important for sustaining advancement in the health sciences
                    <sup>
                        <xref ref-type="bibr" rid="ref-15">15</xref>,
                        <xref ref-type="bibr" rid="ref-16">16</xref>
                    </sup>.</p>
                <p>HPP, PGP and other country indicators were analyzed using SPSS27, including frequencies, crosstabs and analysis of variance (ANOVA). For the ANOVA analyses countries were grouped into strata of institutions per country (quartiles for HEIs and terciles for AHSCs) to compare means (SD) of population, GDP, GDP per capita (current), GINI Index, current health expenditure, life expectancy at birth, physicians - per 1,000 people (2010&#x2013;17), and publications by field of science (total and medical sciences) across strata
                    <sup>
                        <xref ref-type="other" rid="FN30">29</xref> 
                        <xref ref-type="bibr" rid="ref-12">12</xref>
                    </sup>.</p>
            </sec>
        </sec>
        <sec>
            <title>Institutional and program findings</title>
            <p>In total, 909 institutions together offered 1,176 health professional programs (235 medicine, 718 nursing, 77 public health and 146 pharmacy) as of July 2021
                <sup>
                    <xref ref-type="other" rid="FN31">30</xref>
                </sup>, and 1,641 post-graduate clinical and research programs (42 certificates, 1,149 Master&#x2019;s and 480 PhDs) were offered at 183 of the 909 HEIs. South Africa, Nigeria, Kenya, Ethiopia and Ghana housed 482, or 52.7%, of the institutions (see 
                <xref ref-type="table" rid="T1">Table 1</xref>). Of the PGPs, Medical Science programs were the most numerous with 851 (51.9%), followed by Biomedicine with 286 (17.4%), Public Health (including nutrition and environmental health) with 271 (16.5%), Nursing with 62 (3.8%), Dentistry with 47 (2.9) and Pharmacy with 45 (2.7%). S&#x00e3;o Tom&#x00e9; and Pr&#x00ed;ncipe was the only country without any health education program perhaps as it is the only WHO AFR country with a GDP below US$1 billion, at US$422.3 million.</p>
            <table-wrap id="T1" orientation="portrait" position="anchor">
                <label>Table 1. </label>
                <caption>
                    <title>Number of Health Education Institutions (HEIs), Post-Graduate Programs (PGPs) and Academic Health Science Centres (AHSCs) by sub-Region and Country, ranked within sub-region by country number of HEIs.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="center" colspan="1" rowspan="1" valign="middle">Sub-Region</th>
                            <th align="center" colspan="1" rowspan="1" valign="middle">Country</th>
                            <th align="center" colspan="1" rowspan="1" valign="middle">Number
                                <break/>of HEIs</th>
                            <th align="center" colspan="1" rowspan="1" valign="middle">Number
                                <break/>of PGPs</th>
                            <th align="center" colspan="1" rowspan="1" valign="middle">Number
                                <break/>of AHSCs</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="center" colspan="1" rowspan="10" valign="middle">
                                <bold>Central</bold>
                                <break/>9 countries 149,487,474
                                <break/>pop (14.1% of region)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Cameroon</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">33</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">52</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">5</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Congo, Dem. Rep (DRC)</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">31</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">30</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Burundi</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">12</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">4</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Gabon</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">3</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">2</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Chad</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">3</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">5</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Congo, Rep</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">8</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Central African Republic</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">2</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Equatorial Guinea</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">S&#x00e3;o Tom&#x00e9; and Pr&#x00ed;ncipe</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="middle">
                                <bold>Central sub-totals</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">
                                <bold>85</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">
                                <bold>103</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">
                                <bold>11</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="12" valign="middle">
                                <bold>Eastern</bold>
                                <break/>11 countries
                                <break/>314,607,642 pop
                                <break/>(29.6% of region)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Kenya</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">76</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">178</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ethiopia</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">65</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">136</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">27</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Tanzania, United Republic
                                <break/>of </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">53</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">59</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Uganda</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">37</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">56</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Madagascar</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">10</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">32</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Rwanda</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">8</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">17</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Eritrea</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">6</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">2</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mauritius</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">5</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">South Sudan</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">5</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Comoros</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">2</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Seychelles</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="middle">
                                <bold>Eastern sub-totals</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">
                                <bold>268</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">
                                <bold>480</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">
                                <bold>53</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="3" valign="middle">
                                <bold>Northern</bold>
                                <break/>2 countries 46,631,748
                                <break/>pop (4.4% of region)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Algeria</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">12</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">28</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">10</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mauritania</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">4</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">2</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="middle">
                                <bold>Northern sub-totals</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">
                                <bold>16</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">
                                <bold>30</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">
                                <bold>11</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="11" valign="middle">
                                <bold>Southern</bold>
                                <break/>10 countries
                                <break/>175,966,205 pop
                                <break/>(16.5% of region)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">South Africa</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">182</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">596</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Zimbabwe</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">34</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">25</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Zambia</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">28</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">15</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">6</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Malawi</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">15</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">2</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Angola</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">11</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mozambique</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">7</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Botswana</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">6</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Namibia</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">4</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">5</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Lesotho</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">4</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Eswatini</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">3</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="middle">
                                <bold>Southern sub-totals</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">
                                <bold>294</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">
                                <bold>646</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">
                                <bold>25</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="16" valign="middle">
                                <bold>Western</bold>
                                <break/>15 countries
                                <break/>376,793,379 pop.
                                <break/>(35.4% of region)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Nigeria</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">105</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">202</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">32</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ghana</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">64</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">45</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">5</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Niger</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">14</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">26</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Senegal</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">11</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">36</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Benin</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">5</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">24</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Liberia</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">7</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">7</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Cabo Verde</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">7</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mali</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">5</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">3</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Gambia, The</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">6</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">5</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">C&#x00f4;te d'Ivoire</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">5</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">30</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Burkina Faso</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">4</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">13</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Guinea</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">4</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">17</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Sierra Leone</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">4</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Togo</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">3</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">6</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Guinea-Bissau</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">2</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">0</td>
                        </tr>
                        <tr>
                            <td align="right" colspan="1" rowspan="1" valign="middle">
                                <bold>Western sub-totals</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">
                                <bold>246</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">
                                <bold>415</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">
                                <bold>54</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="center" colspan="2" rowspan="1" valign="middle">
                                <bold>Overall Totals</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">
                                <bold>909</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">
                                <bold>1674</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">
                                <bold>154</bold>
                            </td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>Anglophone countries had the most institutions overall and on a per capita basis [718 (79%)], although they account for 60.5% of WHO AFR&#x2019;s population. Francophone countries had 164 institutions (18%) and Lusophone had 27 institutions (3%) but represent 33.6% and 5.9% of WHO AFR&#x2019;s population, respectively. Anglophone country HEIs had more PGPs than did Francophone, 1,353 (81%) to 320 (18%), respectively. Ten countries had 114 of the 154 (74%) of the 154 AHSCs (see 
                <xref ref-type="table" rid="T1">Table 1</xref>).</p>
            <p>The ownership of 710 (78.1%) institutions was identifiable: 448 (63.1%) were publicly owned; 254, (35.9%,) were privately owned; and seven (1.0%) had joint public/private ownership. The date institutions were founded, or the year programs began, was found for 404 (44.4%) of cases. Of these, 152 (37.6%) were founded in 2000 or later. Just over half, 51.5%, of the private institutions were founded since 2000 compared to approximately one-third, 31.9%, of the public institutions.</p>
            <p>Although the data are substantially skewed (SD &gt; mean for many categories), there were statistically significant differences in indicators across a number of HEI strata (see 
                <xref ref-type="table" rid="T2">Table 2</xref>). Countries with fewer institutions had a statistically significant lower population, GDP, total science publications and medical science publications (Tukey post-hoc test). A similar pattern was observed across terciles for AHSCs (0, 1, and &gt;1 AHSC per country)
                <sup>
                    <xref ref-type="other" rid="FN32">31</xref>
                </sup> (see 
                <xref ref-type="fig" rid="f2">Figure 2</xref>).</p>
            <table-wrap id="T2" orientation="portrait" position="anchor">
                <label>Table 2. </label>
                <caption>
                    <title>Country indicator values, by quartiles of numbers of Health Education Institutions per country.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="center" colspan="1" rowspan="1" valign="bottom">Indicator</th>
                            <th align="center" colspan="1" rowspan="1" valign="bottom">#HEI Quartile</th>
                            <th align="center" colspan="1" rowspan="1" valign="bottom">Number of
                                <break/>Countries</th>
                            <th align="center" colspan="1" rowspan="1" valign="bottom">Indicator
                                <break/>Mean (SD)</th>
                            <th align="center" colspan="1" rowspan="1" valign="bottom">ANOVA F
                                <break/>(p value)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="5" valign="top">
                                <bold>Population-Total in 2018</bold>
                                <break/>
                                <bold>(in millions)</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1 (0 to 3 HEIs)</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">11</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">3.7 (4.6)</td>
                            <td align="center" colspan="1" rowspan="5" valign="middle">11.3
                                <break/>(.000)</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="middle">2 (4 to 6 HEIs)</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">14</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">8.9 (7.8)</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="middle">3 (7 to 15 HEIs)</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">11</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">19.5 (12.3)</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="middle">4 (16 to 182 HEIs)</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">11</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">62.2 (52.7)</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="middle">Overall</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">47</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">22.6 (34.3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="5" valign="top">
                                <bold>GDP (current US$) in 2018</bold>
                                <break/>
                                <bold>(in billions)</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1 (0 to 3 HEIs)</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">11</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">6.3 (5.8)</td>
                            <td align="center" colspan="1" rowspan="5" valign="middle">5.4
                                <break/>(.003)</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="middle">2 (4 to 6 HEIs)</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">14</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">12.2 (10.5)</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="middle">3 (7 to 15 HEIs)</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">11</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">33.3 (55.1)</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="middle">4 (16 to 182 HEIs)</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">11</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">112.0 (135.6)</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="middle">Overall</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">47</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">39.1 (80.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="5" valign="top">
                                <bold>Publications in All Fields of</bold>
                                <break/>
                                <bold>Science (2014)</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1 (0 to 3 HEIs)</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">11</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">42.7 (44.3)</td>
                            <td align="center" colspan="1" rowspan="5" valign="middle">3.1
                                <break/>(.035)</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="middle">2 (4 to 6 HEIs)</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">13</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">121.9 (95.2)</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="middle">3 (7 to 15 HEIs)</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">11</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">332.5 (663.0)</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="middle">4 (16 to 182 HEIs)</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">11</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1544.5 (2,628.0)</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="middle">Overall</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">46</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">493.5 (1,414.7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="5" valign="top">
                                <bold>Publications by Field of</bold>
                                <break/>
                                <bold>Science - Medical Sciences</bold>
                                <break/>
                                <bold>(2014)</bold>
                            </td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">1 (0 to 3 HEIs)</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">11</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">9.4 (12.3)</td>
                            <td align="center" colspan="1" rowspan="5" valign="middle">5.2
                                <break/>(.004)</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="top">2 (4 to 6 HEIs)</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">13</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">27.8 (21.2)</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="top">3 (7 to 15 HEIs)</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">11</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">38.4 (38.2)</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="top">4 (16 to 182 HEIs)</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">11</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">296.1 (405.3)</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="1" valign="top">Overall</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">46</td>
                            <td align="center" colspan="1" rowspan="1" valign="top">90.1 (225.2)</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                <label>Figure 2. </label>
                <caption>
                    <title>Map of WHO AFR Countries with range of Academic Health Science Centres (AHSCs).</title>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://openresearchafrica-files.f1000.com/manuscripts/14450/a7aa62fb-5015-4e30-8cb4-84a4c7adaae3_figure2.gif"/>
            </fig>
        </sec>
        <sec sec-type="discussion">
            <title>Discussion</title>
            <p>Although the number of HEIs/country was associated with higher country populations, HEIs in WHO AFR were not equally distributed: over half of the institutions (54.1%) were located in five countries that together have only 41.8% of the WHO AFR population. These five countries (South Africa, Nigeria, Kenya, Ethiopia and Ghana) accounted for 54.5% of the region&#x2019;s GDP (current US$) in 2018, consistent with our finding that GDP was also associated with number of HEIs and AHSCs. The uneven distribution of PGPs in WHO AFR was more marked, with only three countries (South Africa, Nigeria and Kenya) housing 58.3% of the PGPs. Such a concentration of medicine and health science PGPs is consistent with the findings of Adams, King
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup> regarding scientific hubs in Africa. Algeria has a large number of AHSCs and likely has a large number of PGPs too, as the one university we collected data for had 28 PGPs. However, North Africa is not well represented in WHO AFR with only two members. Egypt, the research hub country in the sub-region
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup>, is a member of the WHO Eastern Mediterranean (WHO EMR) not WHO AFR.</p>
            <p>The relatively low number of Francophone and Lusophone HEIs in the mapping is consistent with these groups of countries having lower GDPs per capita than Anglophone countries. As institutions in the non-Anglophone countries may have larger student bodies, information on the number of graduates per HEI per year would be useful. Bilingual Cameroon had the most AHSCs and PGPs of non-English countries (although it is officially bilingual in terms of UN languages). It is identified as having &#x201c;significant relative productivity&#x201d; in West Africa by Adams 
                <italic toggle="yes">et al</italic>.
                <sup>
                    <xref ref-type="bibr" rid="ref-18">18</xref>
                </sup>. </p>
            <p>East Africa has the greatest diversity in terms of countries with multiple AHSCs (four countries with 7 or more AHSCs) and three countries with 53 or more PGPs, likely an important strength for the sub-region. Although Ethiopia, Kenya and Tanzania have the most HEIs and PGPs in the region, one of the best known AHSCs in the region, Makerere University, is in a fourth country (Uganda) and a relatively young and innovative institution, the University of Global Health Equity (UGHE), is in a fifth country (Rwanda). This subregion has long been the favourite of international university partners and donors reflected in its disproportionally high number of international partnerships
                <sup>
                    <xref ref-type="bibr" rid="ref-19">19</xref>
                </sup>.</p>
            <p>Although such variation may demonstrate untenable inequities in human resources for health, concentration alone may not be problematic. Trainees from other African countries often attend and HEIs often support the development of HPPs and PGPs elsewhere. For example, the development of the post-graduate Ophthalmology program at the University of Nairobi in 1978 through a partnership with Ludwig Maximilian University of Munich started training non-Kenyans a few years after it was established. By 2013 167 students had graduated, 57 of them were from 16 other WHO AFR countries
                <sup>
                    <xref ref-type="bibr" rid="ref-20">20</xref>
                </sup>. The Nairobi program helped developed other PGPs in East Africa
                <sup>
                    <xref ref-type="bibr" rid="ref-21">21</xref>,
                    <xref ref-type="bibr" rid="ref-22">22</xref>
                </sup>. The importance of international partnerships for African institutions for research output and research capacity strengthening is often identified by researchers
                <sup>
                    <xref ref-type="bibr" rid="ref-20">20</xref>,
                    <xref ref-type="bibr" rid="ref-23">23</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-25">25</xref>
                </sup>. At the same time, it has been argued that the growth in HEIs in WHO AFR in the first two decades of this century coincides with the growth in research on the continent, with increasing &#x201c;autonomous research output&#x201d; and research self reliance [
                <xref ref-type="bibr" rid="ref-18">18</xref>, p. 550]</p>
            <p>As noted, our work suffers limitations: not including the nursing, public health or most PGPs of Algerian HEIs nor PGPs of Lusophone countries; lack of universal information about accreditation; and missing details on some institutions (e.g. date founded). Recently established institutions or programmes are also likely missing. Although our common data set is likely the most comprehensive of its kind currently, several challenges remain: a) to establish a managed, open-source, on-line, Wiki-like database that institutions can access to update their information and new institutions can add their details b) to develop a visually attractive, user-friendly web-site so trainees, researchers, administrators and other interested parties can access information they desire easily; and c) to ensure that all programs and institutions listed are registered in their country. We look forward to collaboration to develop this potentially useful resource. </p>
        </sec>
        <sec>
            <title>Data availability</title>
            <sec>
                <title>Underlying data</title>
                <p>Harvard Dataverse: Annex 1 - Master List of WHO-AFR Countries with Indicators, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.7910/DVN/JHVEKJ">https://doi.org/10.7910/DVN/JHVEKJ</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-12">12</xref>
                    </sup>. </p>
                <p>Harvard Dataverse: Annex 2 - Master List of HEIs, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.7910/DVN/Q8CNY3">https://doi.org/10.7910/DVN/Q8CNY3</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-14">14</xref>
                    </sup>.</p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">Creative Commons Zero "No rights reserved" data waiver</ext-link> (CC0 1.0 Public domain dedication).</p>
            </sec>
        </sec>
    </body>
    <back>
        <fn-group>
            <fn id="FN2">
                <p>
                    <sup>1</sup> This paper refers to WHO AFR instead of WHO AFRO as the former refers to the WHO African Region as a whole whereas WHO AFRO refers to the World Health Organization Regional Office for Africa in Brazzaville, Congo.</p>
            </fn>
            <fn id="FN3">
                <p>
                    <sup>2</sup> Togo and Niger are the only francophone countries included. No Lusophone countries are included. On 27 Feb 2017 - 
                    <ext-link ext-link-type="uri" xlink:href="https://www.worldcat.org/">https://www.worldcat.org/</ext-link> - listed the book as being available at 501 libraries worldwide, although only 3 (0.6%) of them were in Africa - all in South Africa. On 11 June 2020, WorldCat listed the book as being available in 962 libraries worldwide, 14 (1.4%) in Africa - 11 in South Africa and 1 each in Botswana, Namibia and Nigeria.</p>
            </fn>
            <fn id="FN4">
                <p>
                    <sup>3</sup> HEI being institutions that create human resources for health (HRH), see footnote 4, below.</p>
            </fn>
            <fn id="FN5">
                <p>
                    <sup>4</sup> HRH includes &#x201c;&#x2026; all people primarily engaged in actions with the primary intent of enhancing health&#x201d;, including health service providers and health management and support workers. This also includes health researchers. WHO, The world health report 2006: working together for health. 2006, Geneva, Switzerland: World Health Organization, p. xvi.</p>
            </fn>
            <fn id="FN6">
                <p>
                    <sup>5</sup> de Haldevang, M. Why do we still use the term &#x201c;sub-Saharan Africa&#x201d;? 2016 [accessed 1 September 2016]; Available from: 
                    <ext-link ext-link-type="uri" xlink:href="http://qz.com/770350/why-do-we-still-say-subsaharan-africa/">http://qz.com/770350/why-do-we-still-say-subsaharan-africa/</ext-link>.</p>
            </fn>
            <fn id="FN7">
                <p>
                    <sup>6</sup> Seven other AU members are members of the WHO Regional Office for the Eastern Mediterranean (WHO-EMRO). The Sahrawi Arab Democratic Republic, or Western Sahara, is a full AU member but not a WHO member, as it is categorised as a Non-Self-Governing Territory by the United Nations.</p>
            </fn>
            <fn id="FN8">
                <p>
                    <sup>7</sup> We decided to use these five sub-regions instead of WHO AFRO&#x2019;s three Inter-country Support Teams (ISTs) - 
                    <ext-link ext-link-type="uri" xlink:href="https://www.afro.who.int/about-us/organizational-structure">https://www.afro.who.int/about-us/organizational-structure</ext-link>.- units for some analysis because they are more granular. </p>
            </fn>
            <fn id="FN9">
                <p>
                    <sup>8</sup> Int&#x2019;l$ stands for current international dollars and presents GDP per capita reflecting purchasing power parity (PPP).</p>
            </fn>
            <fn id="FN10">
                <p>
                    <sup>9</sup> The most recent figure for each country was taken between the years 2010 and 2017.</p>
            </fn>
            <fn id="FN11">
                <p>
                    <sup>10</sup> World Bank. DataBank. 2020 [Accessed 14 May 2020]; Available from: 
                    <ext-link ext-link-type="uri" xlink:href="https://databank.worldbank.org/">https://databank.worldbank.org/</ext-link>.</p>
            </fn>
            <fn id="FN12">
                <p>
                    <sup>11</sup> UNESCO. UNESCO Institute for Statistics (UIS). 2020 [Accessed 15 May 2020]; Available from: 
                    <ext-link ext-link-type="uri" xlink:href="http://data.uis.unesco.org/">http://data.uis.unesco.org/</ext-link>.</p>
            </fn>
            <fn id="FN13">
                <p>
                    <sup>12</sup> UNESCO, UNESCO science report: towards 2030. 2015, UNESCO: Paris, France.</p>
            </fn>
            <fn id="FN14">
                <p>
                    <sup>13</sup> This data set was received from the The Sub-Saharan African Medical Schools Study (SAMSS) at George Washington University. To our knowledge it is no longer publicly available. The dataset can be obtained by contacting the corresponding author.</p>
            </fn>
            <fn id="FN15">
                <p>
                    <sup>14</sup> COHRED. African Schools of Public Health (AfriHealth). [Accessed 1 September 2011]; Available from: 
                    <ext-link ext-link-type="uri" xlink:href="http://www.cohred.org/">www.cohred.org</ext-link>.</p>
            </fn>
            <fn>
                <p id="FN16">
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    </back>
    <sub-article article-type="reviewer-report" id="report30485">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/aasopenres.14450.r30485</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Wildschut</surname>
                        <given-names>Angelique</given-names>
                    </name>
                    <xref ref-type="aff" rid="r30485a1">1</xref>
                    <xref ref-type="aff" rid="r30485a2">2</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0361-3702</uri>
                </contrib>
                <aff id="r30485a1">
                    <label>1</label>Sociology, University of Pretoria, Pretoria, Gauteng, South Africa</aff>
                <aff id="r30485a2">
                    <label>2</label>Human Sciences Research Council, Pretoria, South Africa</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>23</day>
                <month>2</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Wildschut A</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport30485" related-article-type="peer-reviewed-article" xlink:href="10.12688/aasopenres.13320.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The paper aims to contribute towards establishing a comprehensive mapping of health education institutions and programs in the WHO African region. The team combined information on health professional programs constructed in 2011 and another data set of health post graduate programs developed in 2017. Information on health professional programs drew from 2005 data and were complemented with information from other sources (including Wikipedia). For post-graduate programmes the dataset was based on information gathered online from March to August 2017. In terms of validity and reliability, it would thus appear that the dataset on post-graduate programmes is more recent and most representative of the current status of health programmes and institutions in the respective countries. The data on health professional programs, I would view as less reliable and more dated. The inclusion of Wikipedia as a validation source is questionable, even university web sites are renowned for being out of date, especially in some African countries were a strong and a centralised higher education management information system is not present. Nevertheless, the authors are transparent in terms of the limitations and share the supplementary material that aids repeatability for those that would want to improve on this baseline. It might be of benefit to start such an exercise by focusing in on one medical programme (MBChB or Nursing for example) and map this throughout the WHO African region in terms of institution and location. The umbrella term of HRH is sufficiently detailed and disaggregated in the paper, however, I am also aware that programme titles often differ and some aspects can overlap in an education programme in one country in comparison to another. It is thus safest to start with such an ambitious mapping exercise, focusing on only a few well defined and standardised programmes. I, however, commend the authors for opening up the debate on the importance of such an exercise by demonstrating the datedness of available data in this regard and highlighting the extreme gaps.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Human Resources for Health (special focus on medical doctors, nurses and mid-level health providers).</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report30478">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/aasopenres.14450.r30478</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Chen</surname>
                        <given-names>Candice</given-names>
                    </name>
                    <xref ref-type="aff" rid="r30478a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r30478a1">
                    <label>1</label>Milken Institute School of Public Health, The George Washington University, Washington, District of Columbia, USA</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>2</day>
                <month>1</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Chen C</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport30478" related-article-type="peer-reviewed-article" xlink:href="10.12688/aasopenres.13320.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>This study represents important work to map and understand health professions education capacity in Africa.&#x00a0;The methods section could stand to be expanded along with a limitations section. For example:</p>
            <p> </p>
            <p> How are post-graduate programs counted? If an institution offers a Master's in Medical Sciences in different specialty areas (e.g., internal medicine, OB/Gyn, Pediatrics, Ophthalmology, etc.) is that counted once or multiple times?</p>
            <p> </p>
            <p> What does it mean that the "HPP data set was updated and expanded, as practicable"? Was the online search repeated? Over what time period? Or was the update limited to the MDOMS, SANC updates, and the addition of Algerian institutions (and why were Algerian institutions previously excluded)? It is also mentioned in the Discussion that Lusophone PGPs are not included, although this isn't mentioned in the Methods.</p>
            <p> </p>
            <p> Research productivity is mentioned in the abstract and in the discussion, but how this is measured is not explained in the methods.</p>
            <p> </p>
            <p> What are the limitations to the online search strategy? In the results section, it was noted that ownership status and founding dates weren't found for some programs - will this also create a challenge for the reported PGPs? It should also be noted that the ANOVA analysis is very limited. Results are unsurprising, but additional information and analysis is needed to fully understand the associations and implications of these associations. An important point made in the Discussion is that this study doesn't capture the capacity (e.g., number of students/graduates) of each institutions/program. This supports the need for future research.</p>
            <p> </p>
            <p> Overall, this work and the master list of HEIs is an important value added to tracking and understanding health professions education capacity in Africa, particularly the tracking of the multiple professions. As suggested by the authors, it highlights the need for more research and better data. The idea of an open-source on-line database is a worthy goal!</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Health workforce, health services, medical education</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report29097">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/aasopenres.14450.r29097</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Campbell</surname>
                        <given-names>Jim</given-names>
                    </name>
                    <xref ref-type="aff" rid="r29097a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-2294-2547</uri>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Nair</surname>
                        <given-names>Tapas</given-names>
                    </name>
                    <xref ref-type="aff" rid="r29097a1">1</xref>
                    <role>Co-referee</role>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Fitzpatrick</surname>
                        <given-names>Siobhan</given-names>
                    </name>
                    <xref ref-type="aff" rid="r29097a1">1</xref>
                    <role>Co-referee</role>
                </contrib>
                <aff id="r29097a1">
                    <label>1</label>World Health Organization, Geneva, Switzerland</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>9</day>
                <month>2</month>
                <year>2022</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Campbell J et al.</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport29097" related-article-type="peer-reviewed-article" xlink:href="10.12688/aasopenres.13320.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The dataset has immense potential to provide insights into health professionals&#x2019; education capacity in Africa, including the proportion of newer schools being privately funded, and the functions of the HEIs in both education and research. This is an important paper in its field. 
                <list list-type="bullet">
                    <list-item>
                        <p>p4 - For health workforce stock, WHO&#x2019;s National Health Workforce Accounts portal has data reported by Member States. 
                            <ext-link ext-link-type="uri" xlink:href="https://apps.who.int/nhwaportal/">https://apps.who.int/nhwaportal/</ext-link>. The majority of AFRO countries have 2020 or 2019 data sources.</p>
                    </list-item>
                    <list-item>
                        <p>Under methods. Please clarify the period and end point for the update and merging of the HPP and PGP data sets. This will guide the reader on the time point the data reflects. July 2021 is mentioned on page 6.</p>
                    </list-item>
                    <list-item>
                        <p>p5 &#x2013; The authors may wish to revisit their position that only ECFMG recognized schools are listed in the WDOMS. The WDOMS lists all schools that are confirmed by the Ministry of Health or Ministry of Education in the country as existing; and then includes 
                            <italic>additional</italic> details such as whether the school is operational or not, and the ECFMG recognition status.</p>
                    </list-item>
                    <list-item>
                        <p>Footnote 24 is unclear &#x2013; did William Burdick provide the list of schools not included in WDOMS, or did he bring to your attention that there are other schools, which were subsequently researched and identified?</p>
                    </list-item>
                    <list-item>
                        <p>p5 - It is unclear how the locations of nursing institutions might have changed. Is this because the town name changed, and hence the institution updated its name? How was the differentiation between a school closing in one town and a new one opening in a different town; versus a school relocating?</p>
                    </list-item>
                    <list-item>
                        <p>The HPP and PGPs included in this dataset is a valuable baseline but should not be considered as comprehensive. Greater clarity on inclusion/exclusion would assist in identifying knowledge gaps. E.g., includes only operational or accredited schools, or all schools for which there is a record of its existence? In the text, nursing schools were excluded if not &#x2018;recognized&#x2019; whereas the medical dataset from WDoMS includes both accredited and non-accredited schools, as well as where the information about accreditation is unknown.</p>
                    </list-item>
                    <list-item>
                        <p>p8, table 2 - the authors may wish to consider health expenditure per capita in PPP to assess the variability between the 47 countries in health spending as a proxy of health education spending.</p>
                    </list-item>
                    <list-item>
                        <p>p10 - the authors identify challenges in &#x201c;(a) to establish a managed, open-source of institutions,&#x2026;., and (b) to develop a visually attractive, user-friendly web-site for trainees,..&#x201d;. Before creating new mechanisms, could the authors add some consideration of existing data and governance mechanisms in this domain? What exists for countries to capture and report this data through annual administrative processes rather than rely on one-off surveys/research, e.g. the education modules of WHO&#x2019;s National Health Workforce Accounts? There is scope for instance for this data to be validated and reported by the designated NHWA focal points in the African countries on an annual basis. What are the sectoral challenges to coordinate data across education and health ministries? Are there other regions which have good practice that may be of interest, e.g. annual reporting by the Medical Deans Australia and New Zealand? &#x00a0;</p>
                    </list-item>
                </list> </p>
            <p> 
                <bold>Copy-editing:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>p4 - a typo on &#x201c;SPPS&#x201d; if referring to the statistical software &#x201c;SPSS&#x201d;.</p>
                    </list-item>
                    <list-item>
                        <p>p5 - two references to MDOMS rather than WDOMS.</p>
                    </list-item>
                    <list-item>
                        <p>Extra capital letter in the reference to Ijsselmuiden et al. (ref 7).</p>
                    </list-item>
                    <list-item>
                        <p>First para under the subtitle &#x2018;The WHO African Region&#x2019; finishes with two full stops.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Partly</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Health workforce</p>
            <p>We confirm that we have read this submission and believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
</article>
