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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Vet. Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Veterinary Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Vet. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2297-1769</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fvets.2025.1635447</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Assessment of peste des petits ruminant&#x2019;s vaccine wastage along the vaccine supply chain in Mali</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes" equal-contrib="yes"><name><surname>Ilboudo</surname> <given-names>Guy Sidwatta</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref><xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes"><name><surname>Sow</surname> <given-names>Ahmadou</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author"><name><surname>Sidib&#x00E9;</surname> <given-names>Cheick Abou Kounta</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author"><name><surname>Ouedraogo</surname> <given-names>Lokmane</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author"><name><surname>Knight-Jones</surname> <given-names>Theodore</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author"><name><surname>Fomba</surname> <given-names>Cheick Oumar</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<contrib contrib-type="author" corresp="yes"><name><surname>Dione</surname> <given-names>Michel</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><label>1</label><institution>International Livestock Research Institute</institution>, <city>Ouagadougou</city>, <country country="bf">Burkina Faso</country></aff>
<aff id="aff2"><label>2</label><institution>International Livestock Research Institute</institution>, <city>Bamako</city>, <country country="ml">Mali</country></aff>
<aff id="aff3"><label>3</label><institution>Central Veterinary Laboratory</institution>, <city>Bamako</city>, <country country="ml">Mali</country></aff>
<aff id="aff4"><label>4</label><institution>Ministry of Economy and Finances</institution>, <city>Ouagadougou</city>, <country country="bf">Burkina Faso</country></aff>
<aff id="aff5"><label>5</label><institution>International Livestock Research Institute</institution>, <city>Addis Ababa</city>, <country country="et">Ethiopia</country></aff>
<aff id="aff6"><label>6</label><institution>Directorate of Veterinary Services</institution>, <city>Bamako</city>, <country country="ml">Mali</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Guy Sidwatta Ilboudo, <email xlink:href="mailto:ilboudoguy@gmail.com">ilboudoguy@gmail.com</email> Michel Dione, <email xlink:href="mailto:m.dione@cgiar.org">m.dione@cgiar.org</email></corresp>
<fn fn-type="equal" id="fn0001">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-15">
<day>15</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1635447</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>07</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Ilboudo, Sow, Sidib&#x00E9;, Ouedraogo, Knight-Jones, Fomba and Dione.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Ilboudo, Sow, Sidib&#x00E9;, Ouedraogo, Knight-Jones, Fomba and Dione</copyright-holder>
<license>
<ali:license_ref start_date="2025-12-15">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>This study was carried out in six regions of Mali to assess peste des petits ruminants (PPR) vaccine wastage along the vaccine supply chain during the vaccination campaign of 2023. Multi-stage stratified sampling was used to select 107 actors involved in the vaccine supply chain, including private veterinarians (<italic>n</italic>&#x202F;=&#x202F;75), public vaccinators (<italic>n</italic>&#x202F;=&#x202F;19), regional veterinary officers (<italic>n</italic>&#x202F;=&#x202F;12), and one senior veterinary officer at the central level. Vaccine actors operated across the dominant small ruminants (SR) production systems in Mali (pastoral, agropastoral, and peri-urban). The World Health Organization field guidelines for monitoring and reducing vaccine wastage was used as a basis for this study. Results show that a quarter of vaccine doses were wasted. The vaccine wastage rate was 24.3% in public sector and 25.4% in private sector with approximately 90% of wastage occurring at the final stage of delivery (veterinary posts, or private veterinarians). At upstream points in the vaccine supply chain, wastage was low in both private and public distribution channels (less than 1%). No statistically significant difference was observed between the public and private sectors in vaccine wastage rates across the different stages of the vaccine distribution chain. The biggest cause of wastage was vaccine being discarded due to denaturation (46.0 and 32.4%, respectively, for the private and public actors), as doses were not used within the short (1&#x202F;h) time window between reconstitution in the field and use. Also wastage was high due to improper injection (33.8 and 45.6% in public and private sectors), vial breakage (11.2 and 11.1%), and reconstitution errors (7.4 and 8.8%). The massive loss due to denaturation highlights the need for building stronger cold chains along the vaccine supply chain. In hard to reach areas, where cold chain failure is more likely, a vaccine able to remain potent for a longer period before and after reconstitution such as thermotolerant vaccines would add value. Furthermore, capacity of field vaccinators should be enhanced through trainings on best practices regarding vaccination.</p>
</abstract>
<kwd-group>
<kwd>sheep</kwd>
<kwd>goats</kwd>
<kwd>immunization</kwd>
<kwd>vaccine loss</kwd>
<kwd>control and eradication</kwd>
<kwd>vaccine value supply chain</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare that financial support was received for the research and/or publication of this article. The study was conducted as part of the CGIAR Research Program on Livestock, a global partnership dedicated to achieving a food-secure future (<ext-link xlink:href="http://www.cgiar.org" ext-link-type="uri">www.cgiar.org</ext-link>). The preparation of this manuscript was supported by CGIAR&#x2019;s Sustainable Animal Productivity for Livelihoods, Nutrition, and Gender Inclusion (SAPLING) initiative, and continued under the Sustainable Animal and Aquatic Foods Program (SAAF), and the contributions of donors and organizations supporting the Research Programs through the CGIAR Trust Fund.</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="8"/>
<equation-count count="5"/>
<ref-count count="55"/>
<page-count count="13"/>
<word-count count="10002"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Veterinary Epidemiology and Economics</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Mali is a large country with diverse landscapes, ranging from northern deserts to southern savannas and forests. Spanning 1,240,192 square kilometers, it ranks as the eighth-largest country on the continent. Livestock herding plays a vital role in the economy, with cattle, sheep, goats, and camels being the primary livestock raised. Livestock contributes substantially to household incomes for at least 80% of the rural population, especially women, and accounts for more than 40% of the Gross Domestic Product (GDP) and three quarters of Mali&#x2019;s exports (<xref ref-type="bibr" rid="ref1">1</xref>).</p>
<p>According to the livestock estimations provided by the National Directorate of Animal Production and Industries (DNPIA), on 31<sup>st</sup> December 2022, 43,913,180 sheep and goats were reared in Mali (<xref ref-type="bibr" rid="ref2">2</xref>). Unfortunately, productivity in the small ruminants (SRs) sector remains low for several reasons, including high disease burden, high lamb/kid mortality, low growth rates, poor nutritional status and absence of long-term breeding programs, resulting in infertility and long lambing and kidding intervals. Added to that, the inadequate institutional capacity strengthening among actors, plus poor links between producers and markets, make the performance of the SR value chain sub-optimal (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>).</p>
<p>One of the most devastating diseases affecting SRs is Peste des Petits Ruminants (PPR). This highly contagious viral disease is caused by a morbillivirus closely related to the rinderpest virus. It primarily affects goats and sheep, as well as wild small ruminants and camelids. PPR was first reported in C&#x00F4;te d&#x2019;Ivoire in 1942 (<xref ref-type="bibr" rid="ref5">5</xref>). According to a 2013 serological survey conducted across the administrative regions of Mali (excluding Kidal), the overall individual seroprevalence of PPR was 42.6%. However, prevalence rates varied significantly between regions, ranging from 5.5% in Gao to 55.6% in Koulikoro (<xref ref-type="bibr" rid="ref6">6</xref>).</p>
<p>The global community is increasingly aware of the high economic burden and devastating consequences of PPR. Although there is no cure, the disease can be effectively prevented through vaccination. Effective live attenuated PPR virus vaccines are widely available. The two most commonly used strains, Nigeria/75/1 and Sungri/96, have demonstrated, in experimental settings, robust protection against all known PPRV lineages (<xref ref-type="bibr" rid="ref7">7</xref>). The Nigeria/75/1 vaccine has also been proven to provide such complete cross-lineage protection in field use in a large number of countries (<xref ref-type="bibr" rid="ref8">8</xref>).</p>
<p>Hence, in 2015 the PPR Global Eradication Program (PPR-GEP) was launched under the lead of the World Organization for Animal Health (WOAH) and the Food and Agriculture Organization of the United Nations (FAO) PPR secretariat. The objective of the PPR-GEP is to eradicate PPR by 2030, reinforce veterinary services and reduce the impacts of other major infectious diseases of SRs. This will then contribute to fighting rural poverty, ensuring food security and nutrition and strengthening resilience, national economies and achieving Sustainable Development Goals (SDGs). The PPR-GEP recommends mass vaccination for 2&#x2013;3 rounds to achieve at least 80% coverage of the sheep and goat population above the age of 3&#x202F;months (<xref ref-type="bibr" rid="ref9">9</xref>).</p>
<p>Like several countries in Africa, Mali has been implementing its PPR control and eradication strategy since 2017 with mass vaccination as its main component. Despite the efforts made, vaccine coverage rate remains low, less than 10% (<xref ref-type="bibr" rid="ref10">10</xref>).</p>
<p>Vaccination in Mali is implemented through a public-private partnership (PPP). The 1990s marked the era of &#x201C;the privatization of veterinary services,&#x201D; leading to the gradual disengagement of the government from productive and commercial activities and the government is now refocusing on public service (<xref ref-type="bibr" rid="ref11">11</xref>). Since then, the country has embarked on a policy of partial cost recovery of vaccination by farmers. Exceptions occur in areas requiring humanitarian support due to environmental disasters or conflict, when a vaccine is further subsidized or even provided free of charge to livestock farmers by development organizations. Twenty years later, the animal health situation in Mali is still fragile. The low vaccination coverage rates for all livestock diseases and the limited networks of private veterinarians are indicators of the inadequate performance of veterinary services. In Mali, the &#x201C;Ovipeste&#x201D; vaccine (Nigeria/75/1), produced by the Central Veterinary Laboratory (LCV) in Mali (<xref ref-type="bibr" rid="ref12">12</xref>) is used. The vaccine is mostly packaged and distributed in multidose vials 100 doses and requires strict cold storage throughout until use. The lack of proper cold chain infrastructure is a major cause of failure in most vaccination programs, especially in countries with very high temperatures like Mali (<xref ref-type="bibr" rid="ref13">13</xref>). It is often impossible to keep vaccines cold when travelling long distances in rural areas and lack or failures of electricity. Without strong vaccine monitoring and conservation along the supply chain, there is high risk of vaccine wastage, translating to economic losses and inefficiencies in vaccination. In 2005, the WHO estimated that approximately half of the vaccines produced globally are wasted and therefore recommended that countries strengthen local vaccine wastage monitoring (<xref ref-type="bibr" rid="ref14">14</xref>).</p>
<p>Few studies attempt to estimate the vaccine wastage rate in livestock in sub-saharan Africa because of variability in production systems and challenges in data availability. In Mali, no study has been conducted to estimate vaccine wastage rate recorded during annual livestock mass vaccination campaigns. This is important to inform vaccine actors how to optimize vaccination campaigns by limiting vaccine wastage. It is also recommended that the vaccine wastage rate be evaluated at the same time as the vaccination coverage rate for a better appreciation of the wastage rate (<xref ref-type="bibr" rid="ref14">14</xref>).</p>
<p>This present study was therefore conducted to estimate the wastage of PPR vaccine along the supply chain for the 2023 vaccination campaign, for improved control of PPR and other SR diseases.</p>
</sec>
<sec sec-type="methods" id="sec2">
<label>2</label>
<title>Methods</title>
<sec id="sec3">
<label>2.1</label>
<title>PPR vaccination framework</title>
<p>In Mali, the implementation of mass vaccination campaigns against PPR is carried out within the framework of a PPP (<xref ref-type="bibr" rid="ref15 ref16 ref17">15&#x2013;17</xref>). The distribution of the vaccine is done through public and private channels from the central level to the field level. In the public channel, once produced at the Central Veterinary Laboratory (<italic>Laboratoire central v&#x00E9;t&#x00E9;rinaire &#x2013;</italic> LCV), the vaccine is stored at the central veterinary services (<italic>Direction nationale des services v&#x00E9;t&#x00E9;rinaires &#x2013;</italic> DNSV), then successively shipped to the regional veterinary services (<italic>Directions r&#x00E9;gionales des services v&#x00E9;t&#x00E9;rinaires &#x2013;</italic> DRSV), the departmental veterinary services called Veterinary sector (VS), and the communal veterinary services called veterinary posts (VP). In the private channel, the vaccine is stored in the private veterinarians (<italic>V&#x00E9;t&#x00E9;rinaire titulaire du mandat sanitaire</italic> &#x2013; VTMS) central offices and then shipped successively to the VTMS regional offices and the VTMS veterinary clinics. Vaccination in the field is carried out by the teams of veterinary posts and veterinary clinics (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Regarding the vaccination campaign of 2023, the private and public sectors performed 68 and 32% of PPR vaccination, respectively (<xref ref-type="bibr" rid="ref4">4</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Mapping of PPR vaccine value chains in Mali.</p>
</caption>
<graphic xlink:href="fvets-12-1635447-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart illustrating veterinary service levels: Central level includes "LCV", "Central vet. services", and "VTMS central offices". Intermediate level has "Regional vet. services", "Veterinary sectors", and "VTMS regional offices". Field level includes "Veterinary posts", "VTMS clinics", and "Farmers". Solid arrows signify public channels, dashed arrows represent private channels.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Study area and sampling</title>
<p>A multi-stage stratified sampling was carried out to select the participants considering the type of SR production, the locality, and the types of actors. Three levels of stratification were then applied.</p>
<p>The first level corresponded to the type of production system, including pastoral, agropastoral, and peri urban. All types of production systems were included in the sample.</p>
<p>The second level of stratification was based on the geographic area, aligned with the country&#x2019;s administrative divisions, namely regions, cercles, communes, and villages. However, due to the complexity of actor distribution across these levels, stratification was limited to the regional level. The country comprises 20 regions, categorized by production system: 12 in pastoral zones, 6 in agro-pastoral zones, and 2 in peri-urban zones. Within each SR production system, regions were selected purposively, with accessibility and security constraints taken into account. Consequently, in the pastoral zone, the Mopti and Tombouctou regions were selected. In the agro-pastoral zone, the regions of Sikasso, S&#x00E9;gou, and Koutiala were selected. For the peri-urban zone, the Koulikoro region was selected.</p>
<p>The third level of stratification was based on the categories of actors involved in the vaccination campaign, including representatives from the DNSV, DRSV, VS, VP, and VTMS. In each region, the single DRSV representative was selected, and in each cercle, one VS representative was randomly chosen. Across the selected regions, there were 78 VTMS and 40 VP, making a total of 118 vaccinators. All vaccinators who consented were included in the study, bringing the total sample size to 139 participants (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Distribution of the participants to interview over the regions and levels.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Region/level</th>
<th align="center" valign="top">DNSV</th>
<th align="center" valign="top">DRSV</th>
<th align="center" valign="top">VS</th>
<th align="center" valign="top">VP</th>
<th align="center" valign="top">VTMS</th>
<th align="center" valign="top">Total</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Central level</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">n/a</td>
<td align="center" valign="top">n/a</td>
<td align="center" valign="top">n/a</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">3</td>
</tr>
<tr>
<td align="left" valign="top">VTMS regional offices</td>
<td align="center" valign="top">n/a</td>
<td/>
<td align="center" valign="top">n/a</td>
<td align="center" valign="top">n/a</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
</tr>
<tr>
<td align="left" valign="top">Mopti</td>
<td align="center" valign="top">n/a</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="bottom">14</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">19</td>
</tr>
<tr>
<td align="left" valign="top">Tombouctou</td>
<td align="center" valign="top">n/a</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="bottom">15</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">11</td>
</tr>
<tr>
<td align="left" valign="top">Sikasso</td>
<td align="center" valign="top">n/a</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">14</td>
</tr>
<tr>
<td align="left" valign="top">S&#x00E9;gou</td>
<td align="center" valign="top">n/a</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="bottom">6</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">26</td>
</tr>
<tr>
<td align="left" valign="top">Koutiala</td>
<td align="center" valign="top">n/a</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="bottom">1</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top">Koulikoro</td>
<td align="center" valign="top">n/a</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
<td align="center" valign="bottom">3</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">24</td>
</tr>
<tr>
<td align="left" valign="top">Total</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">86</td>
<td align="center" valign="top">139</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Vaccine wastage rate assessment framework</title>
<p>Vaccine wastage rate can be estimated in several ways but necessarily takes into account the cause of the wastage, including vial breakage, cold chain failure, vaccine disappearance (theft, misplacement, etc.), expiration, missing vials, denaturation and wastage during reconstitution and injection (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref18 ref19 ref20 ref21 ref22 ref23">18&#x2013;23</xref>). Vial breakage can occur throughout the distribution chain, mainly by accident, because vials are made of glass, in particular to preserve the integrity of the albumin used for the stabilization of the vaccine (<xref ref-type="bibr" rid="ref23 ref24 ref25 ref26">23&#x2013;26</xref>). The cold chain failure occurs when the vaccine is stored at a temperature outside the recommended range of +2 to +8 degrees Celsius for the case of the thermolabile PPR vaccine (<xref ref-type="bibr" rid="ref26">26</xref>, <xref ref-type="bibr" rid="ref27">27</xref>). This can occur in particular by heat, considering the hot climatic conditions or by freezing (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref28">28</xref>). The missing vials in the storage boxes are often noted during the inventory after the vaccine has been delivered (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref30">30</xref>). Wastage during the reconstitution of the vaccine in the field is due either to improper handling by the vaccinator leading to improper dilution, inadequate shaking of vaccines, incomplete aspiration of reconstitution vials, spillage or leakage during reconstitution, a lack of vacuum in the vial containing the vaccine that should be discarded or a manufacturing defect such as a defective cap (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref32">32</xref>). Wastage during injection corresponds to wastage during removing air of the syringe before injection, injection into a vacuum when the animal is not well restrained or when the vaccinator is not experienced, or contamination of the vial of the already reconstituted vaccine (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref27">27</xref>). Denaturation of the vaccine corresponds to the loss of its integrity and quality beyond a certain period of time after reconstitution with the diluent made of saline solution, after which these vaccines must be discarded irrespective of the doses used in the vial (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref33">33</xref>). For example, the thermolabile PPR vaccine produced by the LCV and used for the vaccination campaign must be used within 1&#x202F;h (<xref ref-type="bibr" rid="ref12">12</xref>).</p>
<p>In most settings, vaccine distribution follows administrative divisions, which typically involve multiple levels of the supply chain (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref35">35</xref>). This multi-tiered system entails different levels of vaccine wastage monitoring, as summarized in <xref ref-type="table" rid="tab2">Table 2</xref> based of literature review. When estimating the wastage rate, it is also important to consider the links in the vaccine value chain (VVC) because the vaccine is distributed through one or more distribution chains. The VVC is a key component of the success of mass vaccination that ensures that the target population is vaccinated. It mainly considers vaccine transport, storage, and use (<xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref37">37</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Summary of the potential vaccine wastage causes and the levels of the measurement.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="3">Wastage causes categories</th>
<th align="center" valign="top" colspan="3">Vaccine value chain links</th>
<th align="center" valign="top" colspan="3">Vaccine distribution levels</th>
</tr>
<tr>
<th align="center" valign="middle" rowspan="2">Transport</th>
<th align="center" valign="middle" rowspan="2">Storage</th>
<th align="center" valign="middle" rowspan="2">Usage</th>
<th align="center" valign="middle">Central vet. Service</th>
<th align="center" valign="middle">Regional vet. Services and Veterinary Sectors</th>
<th align="center" valign="middle">Public vaccinators</th>
</tr>
<tr>
<th align="center" valign="top">VTMS central offices</th>
<th align="center" valign="top">VTMS regional offices</th>
<th align="center" valign="top">Private veterinarian</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Vial breakage</td>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
</tr>
<tr>
<td align="left" valign="top">Cold chain failure</td>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
</tr>
<tr>
<td align="left" valign="top">Disappearance of vials</td>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
</tr>
<tr>
<td align="left" valign="top">Shelf-life expired</td>
<td/>
<td align="center" valign="middle">X</td>
<td/>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
</tr>
<tr>
<td align="left" valign="top">Missing vials during the inventory</td>
<td/>
<td align="center" valign="middle">X</td>
<td/>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
<td align="center" valign="middle">X</td>
</tr>
<tr>
<td align="left" valign="top">Reconstitution errors</td>
<td/>
<td/>
<td align="center" valign="middle">X</td>
<td/>
<td/>
<td align="center" valign="middle">X</td>
</tr>
<tr>
<td align="left" valign="top">Improper injection</td>
<td/>
<td/>
<td align="center" valign="middle">X</td>
<td/>
<td/>
<td align="center" valign="middle">X</td>
</tr>
<tr>
<td align="left" valign="top">Denaturation of the vaccine</td>
<td/>
<td/>
<td align="center" valign="middle">X</td>
<td/>
<td/>
<td align="center" valign="middle">X</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Source: summarized from various sources (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref18 ref19 ref20 ref21 ref22 ref23">18&#x2013;23</xref>).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Wastage assessment methods</title>
<p>Based on the types of wastage causes, the wastage rate is calculated by dividing the sum of the wasted doses by the total number of doses initially received through the following <xref ref-type="disp-formula" rid="E1">Equation 1</xref> (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref38">38</xref>).</p>
<disp-formula id="E1">
<mml:math id="M1">
<mml:msub>
<mml:mi>q</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:munderover>
<mml:mo movablelimits="false">&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>k</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>n</mml:mi>
</mml:munderover>
<mml:msub>
<mml:mi>i</mml:mi>
<mml:mi>k</mml:mi>
</mml:msub>
</mml:mrow>
<mml:msub>
<mml:mi>N</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
</mml:mfrac>
<mml:mspace width="0.25em"/>
</mml:math>
<label>(1)</label>
</disp-formula>
<p>With <inline-formula>
<mml:math id="M2">
<mml:msub>
<mml:mi>q</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
</mml:math>
</inline-formula> the wastage rate at level <inline-formula>
<mml:math id="M3">
<mml:mi>v</mml:mi>
</mml:math>
</inline-formula>, <inline-formula>
<mml:math id="M4">
<mml:msub>
<mml:mi>i</mml:mi>
<mml:mi>k</mml:mi>
</mml:msub>
</mml:math>
</inline-formula> the number of wasted doses due to the cause <italic>k</italic>, <italic>k</italic> the cause of wastage, <italic>n</italic> the number of causes of wastage and <inline-formula>
<mml:math id="M5">
<mml:msub>
<mml:mi>N</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
</mml:math>
</inline-formula> the total number of doses initially received at level <inline-formula>
<mml:math id="M6">
<mml:mi>v</mml:mi>
</mml:math>
</inline-formula>.</p>
<p>Then the usage rate at the level <inline-formula>
<mml:math id="M7">
<mml:mi>v</mml:mi>
</mml:math>
</inline-formula>, which is the complement to 1 of the wastage rate, is calculated from the <xref ref-type="disp-formula" rid="E2">Equation 2</xref> (<xref ref-type="bibr" rid="ref14">14</xref>):</p>
<disp-formula id="E2">
<mml:math id="M8">
<mml:msub>
<mml:mi>p</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>q</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
</mml:math>
<label>(2)</label>
</disp-formula>
<p>With <inline-formula>
<mml:math id="M9">
<mml:msub>
<mml:mi>p</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
</mml:math>
</inline-formula> the vaccine usage rate at the level <inline-formula>
<mml:math id="M10">
<mml:mi>v</mml:mi>
<mml:mo>.</mml:mo>
</mml:math>
</inline-formula></p>
<p>The combined usage rate of each distribution channel (public, private) is calculated based on the <xref ref-type="disp-formula" rid="E3">Equation 3</xref>:</p>
<disp-formula id="E3">
<mml:math id="M11">
<mml:mi>p</mml:mi>
<mml:mo>=</mml:mo>
<mml:munderover>
<mml:mo movablelimits="false">&#x220F;</mml:mo>
<mml:mrow>
<mml:mi>v</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>m</mml:mi>
</mml:munderover>
<mml:msub>
<mml:mi>p</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:munderover>
<mml:mo movablelimits="false">&#x220F;</mml:mo>
<mml:mrow>
<mml:mi>v</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>m</mml:mi>
</mml:munderover>
<mml:mo stretchy="true">(</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>q</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
</mml:math>
<label>(3)</label>
</disp-formula>
<p>With <inline-formula>
<mml:math id="M12">
<mml:mi>m</mml:mi>
</mml:math>
</inline-formula> the number of distribution levels for each distribution channel (public, private).</p>
<p>The wastage rate <inline-formula>
<mml:math id="M13">
<mml:mi>q</mml:mi>
</mml:math>
</inline-formula> for each distribution channel is then deducted by <xref ref-type="disp-formula" rid="E4">Equation 4</xref>:</p>
<disp-formula id="E4">
<mml:math id="M14">
<mml:mi>q</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>p</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:munderover>
<mml:mo movablelimits="false">&#x220F;</mml:mo>
<mml:mrow>
<mml:mi>v</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>m</mml:mi>
</mml:munderover>
<mml:mo stretchy="true">(</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>q</mml:mi>
<mml:mi>v</mml:mi>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
</mml:math>
<label>(4)</label>
</disp-formula>
<p>Finally, the national wastage rate is calculated by considering the share that each distribution channel represents in the coverage rate at the national level, according to the formula in <xref ref-type="disp-formula" rid="E5">Equation 5</xref>:</p>
<disp-formula id="E5">
<mml:math id="M15">
<mml:mi>Q</mml:mi>
<mml:mo>=</mml:mo>
<mml:msup>
<mml:mi>q</mml:mi>
<mml:mtext mathvariant="italic">private</mml:mtext>
</mml:msup>
<mml:mo>&#x2217;</mml:mo>
<mml:mfrac>
<mml:msup>
<mml:mi>D</mml:mi>
<mml:mtext mathvariant="italic">private</mml:mtext>
</mml:msup>
<mml:msub>
<mml:mi>D</mml:mi>
<mml:mtext mathvariant="italic">total</mml:mtext>
</mml:msub>
</mml:mfrac>
<mml:mo>+</mml:mo>
<mml:msup>
<mml:mi>q</mml:mi>
<mml:mtext mathvariant="italic">public</mml:mtext>
</mml:msup>
<mml:mo>&#x2217;</mml:mo>
<mml:mfrac>
<mml:msup>
<mml:mi>D</mml:mi>
<mml:mtext mathvariant="italic">public</mml:mtext>
</mml:msup>
<mml:msub>
<mml:mi>D</mml:mi>
<mml:mtext mathvariant="italic">total</mml:mtext>
</mml:msub>
</mml:mfrac>
</mml:math>
<label>(5)</label>
</disp-formula>
<p>With <inline-formula>
<mml:math id="M16">
<mml:mi>Q</mml:mi>
</mml:math>
</inline-formula>, the national wastage rate, <inline-formula>
<mml:math id="M17">
<mml:msup>
<mml:mi>q</mml:mi>
<mml:mtext mathvariant="italic">private</mml:mtext>
</mml:msup>
</mml:math>
</inline-formula> the private wastage rate, <inline-formula>
<mml:math id="M18">
<mml:mfrac>
<mml:msup>
<mml:mi>D</mml:mi>
<mml:mtext mathvariant="italic">private</mml:mtext>
</mml:msup>
<mml:msub>
<mml:mi>D</mml:mi>
<mml:mtext mathvariant="italic">total</mml:mtext>
</mml:msub>
</mml:mfrac>
</mml:math>
</inline-formula> the percentage of animals vaccinated by the private sector, <inline-formula>
<mml:math id="M19">
<mml:msup>
<mml:mi>q</mml:mi>
<mml:mtext mathvariant="italic">public</mml:mtext>
</mml:msup>
</mml:math>
</inline-formula>the public wastage rate et <inline-formula>
<mml:math id="M20">
<mml:mfrac>
<mml:msup>
<mml:mi>D</mml:mi>
<mml:mtext mathvariant="italic">public</mml:mtext>
</mml:msup>
<mml:msub>
<mml:mi>D</mml:mi>
<mml:mtext mathvariant="italic">total</mml:mtext>
</mml:msub>
</mml:mfrac>
</mml:math>
</inline-formula> the percentage of animals vaccinated by the public sector. The percentages of animals vaccinated used for weighting were directly derived from official 2023 campaign data and constitute the national reference for the study year. Consequently, this methodological approach focuses on aggregating sectoral data using fixed and validated weights. A sensitivity analysis of alternative weighting assumptions was therefore not deemed necessary (<xref ref-type="bibr" rid="ref4">4</xref>).</p>
<p>Wastage rates can be estimated at various intervals, annually, quarterly, monthly, or even daily (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref29">29</xref>). However, given the structure of PPR vaccination activities in Mali, estimating wastage on a per-campaign basis was considered the most appropriate approach. This corresponded to the 2023 vaccination campaign (12&#x202F;months).</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Data collection and analysis</title>
<p>Data were collected through structured, individual face-to-face interviews conducted between October 23 and November 16, 2024. A team of researchers carried out the interviews using a questionnaire deployed via the Open Data Kit (ODK) application on mobile devices (<xref ref-type="bibr" rid="ref39">39</xref>). The questionnaire was developed to collect data on socio-economic characteristics and aspects related to the transportation, handling, storage, and field use of the PPR vaccine. Specific questions were included to estimate vaccine wastage rates across all stages of the vaccine distribution chain. Eligible respondents included any staff member aged 18 or older who was involved in PPR vaccine management (procurement, transport, storage, or administration) and who provided verbal consent to participate in the interview.</p>
<p>Data collected were entered into an Excel-based spreadsheet and then cleaned and analyzed using STATA 17.0. All wastage rates were calculated using the set of formulas outlined in the subsection 2.4, considering the levels of distribution of the vaccine (central, intermediate and field), the vaccine value chain links (transport, storage and use) and the categories of wastage causes (vial breakage, cold chain failure, vaccine disappearance, expiration, missing vial, denaturation, wastage during reconstitution and injection).</p>
<p>Given the small group sizes (from 1 to 70) of samples and the non-normal distribution of the data, we reported medians and interquartile ranges (IQR) for quantitative variables. The Mann&#x2013;Whitney U test was used to compare two groups, while the Kruskal-Wallis test was used to compared more than two groups. For categorical variables, proportions were estimated alongside their 95% confidence intervals (CI) using the Wilson method through the Epitools online platform (<xref ref-type="bibr" rid="ref40">40</xref>). Group comparisons were performed using Fisher&#x2019;s exact test. For all tests, statistical significance was set at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05.</p>
<p>The results were presented in tables and graphs.</p>
</sec>
</sec>
<sec sec-type="results" id="sec8">
<label>3</label>
<title>Results</title>
<sec id="sec9">
<label>3.1</label>
<title>Socio-economic characteristics of respondents</title>
<p>The results presented in <xref ref-type="table" rid="tab3">Table 3</xref> show that most of respondents were male in both private sector (97.3%) and public sector (96.9%). In the private sector, most respondents (85.3%) were 55&#x202F;years or older, whereas in the public sector, the largest age group was 35&#x2013;54&#x202F;years old (50%). Furthermore, all private sector respondents had a university level education, while most of the public actors had a secondary education level (56.3%). The primary sources for vaccine procurement also differed, with VTMS regional offices being the most important for the private sector (69.3%) and DRSV for the public sector (75%).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Various socio-economic information on respondents.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Items</th>
<th align="center" valign="top" colspan="2">Frequency (percentage; 95% CI)</th>
</tr>
<tr>
<th align="center" valign="top">Private actors (<italic>n</italic>&#x202F;=&#x202F;75)</th>
<th align="center" valign="top">Public actors (<italic>n</italic>&#x202F;=&#x202F;32)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="3">Gender</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="char" valign="bottom" char="(">73 (97.3; 90.8&#x2013;99.3)</td>
<td align="char" valign="bottom" char="(">31 (96.9; 84.3&#x2013;99.4)</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="char" valign="bottom" char="(">2 (2.7; 0.7&#x2013;9.2)</td>
<td align="char" valign="bottom" char="(">1 (3.1; 0.6&#x2013;15.7)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3">Age category</td>
</tr>
<tr>
<td align="left" valign="middle">18&#x2013;34</td>
<td align="char" valign="bottom" char="(">3 (4.0; 1.4&#x2013;11.1)</td>
<td align="char" valign="bottom" char="(">10 (31.3; 18.0&#x2013;48.6)</td>
</tr>
<tr>
<td align="left" valign="middle">35&#x2013;54</td>
<td align="char" valign="bottom" char="(">8 (10.7; 5.5&#x2013;19.7)</td>
<td align="char" valign="bottom" char="(">16 (50.0; 33.6&#x2013;66.4)</td>
</tr>
<tr>
<td align="left" valign="middle">55 and more</td>
<td align="char" valign="bottom" char="(">64 (85.3; 75.6&#x2013;91.6)</td>
<td align="char" valign="bottom" char="(">6 (18.8; 8.9&#x2013;35.3)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="3">Level of education</td>
</tr>
<tr>
<td align="left" valign="middle">Secondary</td>
<td align="char" valign="bottom" char="(">0 (0.0; 0.0&#x2013;4.9)</td>
<td align="char" valign="bottom" char="(">18 (56.3; 39.3&#x2013;71.8)</td>
</tr>
<tr>
<td align="left" valign="middle">University</td>
<td align="char" valign="bottom" char="(">75 (100; 95.1&#x2013;100)</td>
<td align="char" valign="bottom" char="(">14 (43.8; 28.2&#x2013;60.7)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="3">Source of vaccine procurement</td>
</tr>
<tr>
<td align="left" valign="bottom">VTMS central office</td>
<td align="char" valign="bottom" char="(">9 (12.0; 6.4&#x2013;21.3)</td>
<td align="char" valign="bottom" char="(">0 (0.0; 0.0&#x2013;10.7)</td>
</tr>
<tr>
<td align="left" valign="bottom">VTMS regional office</td>
<td align="char" valign="bottom" char="(">52 (69.3; 58.2&#x2013;78.6)</td>
<td align="char" valign="bottom" char="(">0 (0.0; 0.0&#x2013;10.7)</td>
</tr>
<tr>
<td align="left" valign="bottom">DNSV</td>
<td align="char" valign="bottom" char="(">0 (0.0; 0.0&#x2013;4.9)</td>
<td align="char" valign="bottom" char="(">5 (15.6; 6.9&#x2013;31.8)</td>
</tr>
<tr>
<td align="left" valign="bottom">DRSV</td>
<td align="char" valign="bottom" char="(">3 (4.0; 1.4&#x2013;11.1)</td>
<td align="char" valign="bottom" char="(">24 (75.0; 57.9&#x2013;86.7)</td>
</tr>
<tr>
<td align="left" valign="bottom">LCV</td>
<td align="char" valign="bottom" char="(">3 (4.0; 1.4&#x2013;11.1)</td>
<td align="char" valign="bottom" char="(">3 (9.4; 3.2&#x2013;24.2)</td>
</tr>
<tr>
<td align="left" valign="bottom">VTMS</td>
<td align="char" valign="bottom" char="(">8 (10.7; 5.5&#x2013;19.7)</td>
<td align="char" valign="bottom" char="(">0 (0.0; 0.0&#x2013;10.7)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="3">Equipment used to maintain the cold chain during transport</td>
</tr>
<tr>
<td align="left" valign="bottom">Vaccine carrier</td>
<td align="char" valign="bottom" char="(">26 (34.7; 24.9&#x2013;45.9)</td>
<td align="char" valign="bottom" char="(">17 (53.1; 36.4&#x2013;69.1)</td>
</tr>
<tr>
<td align="left" valign="bottom">Cooler</td>
<td align="char" valign="bottom" char="(">49 (65.3; 54.1&#x2013;75.1)</td>
<td align="char" valign="bottom" char="(">15 (46.9; 30.9&#x2013;63.6)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec10">
<label>3.2</label>
<title>Vaccine transport</title>
<p>Vaccine transportation involves moving the vaccines from the supply source to a storage facility, either prior to distribution by other supply chain actors or directly before administration by field personnel. Coolers and vaccine carriers were the most important equipment used to maintain the cold chain during the transport for 65.5% of respondent in the private sector and 53.1% in the public sector (<xref ref-type="table" rid="tab3">Table 3</xref>). The median procurement travel distances were 11, 87, 45, 55, 380, 11, and 401&#x202F;km for DNSV, VTMS, VP, VS, VTMS regional offices, VTMS central office, and DRSV, respectively. The median duration per procurement was 1.6, 2, 2, 1.0, 4, 0.75, and 5.1&#x202F;h, respectively. The median transport cost of ice per procurement was USD 0.6, 0.6, 0.8, 1.6, 2.9 and 1,3 for DNSV, VTMS, VP, VS, VTMS regional offices, VTMS central office, and DRSV, respectively. This corresponds to a total ice campaign cost of USD 22.4, 2.6, 2.4, 1.9, 24.7, 36.6 and 1.2, respectively, (<xref ref-type="table" rid="tab4">Table 4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Median (IQR) of various statistics related to PPR vaccine procurement in Mali.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Statistics</th>
<th align="center" valign="top">VTMS</th>
<th align="center" valign="top">VP</th>
<th align="center" valign="top">VS</th>
<th align="center" valign="top">VTMS regional offices</th>
<th align="center" valign="top">VTMS central office</th>
<th align="center" valign="top">DRSV</th>
<th align="center" valign="top">DNSV</th>
<th align="center" valign="top"><italic>p</italic>- value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Number of procurements</td>
<td align="center" valign="middle">4 (3&#x2013;7)</td>
<td align="center" valign="middle">3 (2&#x2013;4.5)</td>
<td align="center" valign="middle">4 (1&#x2013;6)</td>
<td align="center" valign="middle">15 (14&#x2013;25)</td>
<td align="center" valign="middle">9 (4&#x2013;14)</td>
<td align="center" valign="middle">2 (1&#x2013;3)</td>
<td align="center" valign="middle">17</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.01&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Procurement travel distance (km)</td>
<td align="center" valign="middle">87 (47&#x2013;150)</td>
<td align="center" valign="middle">45 (40&#x2013;531)</td>
<td align="center" valign="middle">55 (0.01&#x2013;120)</td>
<td align="center" valign="middle">380 (160&#x2013;407)</td>
<td align="center" valign="middle">11 (8&#x2013;15)</td>
<td align="center" valign="middle">401 (234&#x2013;655)</td>
<td align="center" valign="middle">11</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.01 &#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Duration per procurement (h)</td>
<td align="center" valign="middle">2 (1&#x2013;4)</td>
<td align="center" valign="middle">2 (1&#x2013;4)</td>
<td align="center" valign="middle">1.0 (0.03&#x2013;2)</td>
<td align="center" valign="middle">4 (3&#x2013;5)</td>
<td align="center" valign="middle">0.75 (0.5&#x2013;1)</td>
<td align="center" valign="middle">5.1 (1&#x2013;7)</td>
<td align="center" valign="middle">1.6</td>
<td align="center" valign="top">0.09</td>
</tr>
<tr>
<td align="left" valign="top">Ice cost per vaccine procurement (USD)</td>
<td align="center" valign="middle">0.6 (0.3&#x2013;0.9)</td>
<td align="center" valign="middle">0.8 (0.3&#x2013;0.9)</td>
<td align="center" valign="middle">0.6 (0.3&#x2013;0.8)</td>
<td align="center" valign="middle">1.6 (0.6&#x2013;1.6)</td>
<td align="center" valign="middle">2.9 (0.9&#x2013;4.9)</td>
<td align="center" valign="middle">0.7 (0.6&#x2013;1.1)</td>
<td align="center" valign="middle">1.3</td>
<td align="center" valign="top">0.32</td>
</tr>
<tr>
<td align="left" valign="top">Ice cost for vaccine per campaign (USD)</td>
<td align="center" valign="middle">2.6 (1.6&#x2013;4.9)</td>
<td align="center" valign="middle">2.4 (1.1&#x2013;4.0)</td>
<td align="center" valign="middle">1.9 (0.8&#x2013;3.4)</td>
<td align="center" valign="middle">24.7 (9.2&#x2013;41.2)</td>
<td align="center" valign="middle">36.6 (3.9&#x2013;69.3)</td>
<td align="center" valign="middle">1.2 (0.6&#x2013;1.9)</td>
<td align="center" valign="middle">22.4</td>
<td align="center" valign="top"><italic>p</italic>&#x202F;&#x003C;&#x202F;0.01&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>n</italic></td>
<td align="center" valign="top">70</td>
<td align="center" valign="top">16</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">1</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>1 USD&#x202F;=&#x202F;606.06 XOF, March 2025. <italic>p</italic>-values correspond to Kruskal-Wallis tests comparing groups for each indicator.</p>
</table-wrap-foot>
</table-wrap>
<p>A significant <italic>p</italic>-value was observed for the number of vaccines procured, the distance traveled for procurement, and the ice cost for vaccine transportation.</p>
</sec>
<sec id="sec11">
<label>3.3</label>
<title>Vaccine storage</title>
<p>The vaccine is stored at the central level (National veterinary services and VTMS central office), intermediate level (DRSV, VTMS regional offices and VS), and field level (VTMS et VP). <xref ref-type="table" rid="tab5">Table 5</xref> show that the two main primary sources of electricity for the vaccine storage were the national electricity provider called <italic>&#x00C9;nergie du Mali (EDM)</italic> (42.7 and 53.1% for private actors and public actors, respectively) and solar energy (37.3 and 37.5%). In both private and public sectors, most of the actors (64 and 62.5%) do not have a secondary source of electricity for vaccine storage. No significant difference was observed between the two groups regarding the primary and secondary sources of electricity.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Primary and secondary sources of electricity for PPR vaccine storage used by private and public actors in Mali.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Items</th>
<th align="center" valign="top" colspan="2">Frequency (percentage; 95% CI)</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic>-value</th>
</tr>
<tr>
<th align="center" valign="top">Private actors (<italic>n</italic>&#x202F;=&#x202F;75)</th>
<th align="center" valign="top">Public actors (<italic>n</italic>&#x202F;=&#x202F;32)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="4">Primary sources of electricity for vaccine storage</td>
</tr>
<tr>
<td align="left" valign="top">National electricity network (EDM)</td>
<td align="char" valign="bottom" char="(">32 (42.7; 32.1&#x2013;53.9)</td>
<td align="char" valign="bottom" char="(">17 (53.1; 36.4&#x2013;69.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Solar energy</td>
<td align="char" valign="bottom" char="(">28 (37.3; 27.3&#x2013;48.6)</td>
<td align="char" valign="bottom" char="(">12 (37.5; 22.9&#x2013;54.7)</td>
<td align="char" valign="middle" char=".">0.57</td>
</tr>
<tr>
<td align="left" valign="top">Private providers</td>
<td align="char" valign="bottom" char="(">9 (12.0; 6.4&#x2013;21.3)</td>
<td align="char" valign="bottom" char="(">1 (3.1; 0.6&#x2013;15.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">None, I use ice everyday</td>
<td align="char" valign="bottom" char="(">4 (5.3; 2.1&#x2013;12.9)</td>
<td align="char" valign="bottom" char="(">2 (6.2; 1.7&#x2013;20.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Others</td>
<td align="char" valign="bottom" char="(">2 (2.7; 0.7&#x2013;9.2)</td>
<td align="char" valign="bottom" char="(">0 (0.0; 0.0&#x2013;10.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Secondary sources of electricity for vaccine storage</td>
</tr>
<tr>
<td align="left" valign="bottom">National electricity network (EDM)</td>
<td align="char" valign="bottom" char="(">2 (2.7; 0.7&#x2013;9.2)</td>
<td align="char" valign="bottom" char="(">2 (6.2; 1.7&#x2013;20.1)</td>
<td align="char" valign="middle" char="." rowspan="5">0.75</td>
</tr>
<tr>
<td align="left" valign="bottom">Solar energy</td>
<td align="char" valign="bottom" char="(">16 (21.3; 13.6&#x2013;31.9)</td>
<td align="char" valign="bottom" char="(">7 (21.9; 11.0&#x2013;38.8)</td>
</tr>
<tr>
<td align="left" valign="bottom">Private providers</td>
<td align="char" valign="bottom" char="(">3 (4.0; 1.4&#x2013;11.1)</td>
<td align="char" valign="bottom" char="(">2 (6.2; 1.7&#x2013;20.1)</td>
</tr>
<tr>
<td align="left" valign="bottom">Others</td>
<td align="char" valign="bottom" char="(">6 (8.0; 3.7&#x2013;16.4)</td>
<td align="char" valign="bottom" char="(">1 (3.1; 0.6&#x2013;15.7)</td>
</tr>
<tr>
<td align="left" valign="bottom">None</td>
<td align="char" valign="bottom" char="(">48 (64.0; 52.7&#x2013;73.9)</td>
<td align="char" valign="bottom" char="(">20 (62.5)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>p</italic>-values correspond to Exact fisher tests comparing groups for each indicator. &#x201C;Others&#x201D; includes generator, fuel, and gas.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec12">
<label>3.4</label>
<title>Vaccine use</title>
<p>Vaccine is used in the field by the private veterinarians and the public vaccinators (VP). <xref ref-type="table" rid="tab6">Table 6</xref> shows that the median number of vaccinated animals per campaign per vaccinator was 5,890 and 9,000, respectively, for the private and the public vaccinators.</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>Median (IQR) various statistics related to field use of PPR vaccine in Mali.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Items</th>
<th align="center" valign="top">VTMS (<italic>n</italic>&#x202F;=&#x202F;70)</th>
<th align="center" valign="top">VP (<italic>n</italic>&#x202F;=&#x202F;19)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">No vaccinated animals per campaign per vaccinator</td>
<td align="char" valign="top" char="(">5,890 (2,744-13,735)</td>
<td align="char" valign="top" char="(">9,000 (4,700-25,800)</td>
<td align="char" valign="top" char=".">0.54</td>
</tr>
<tr>
<td align="left" valign="top">Shortest distance to travel for vaccination (km)</td>
<td align="char" valign="top" char="(">1 (0.5&#x2013;3)</td>
<td align="char" valign="top" char="(">1 (0.1&#x2013;3)</td>
<td align="char" valign="top" char=".">0.48</td>
</tr>
<tr>
<td align="left" valign="top">Time to travel the shortest distance (minutes)</td>
<td align="char" valign="top" char="(">10 (5&#x2013;15)</td>
<td align="char" valign="top" char="(">10 (5&#x2013;30)</td>
<td align="char" valign="top" char=".">0.57</td>
</tr>
<tr>
<td align="left" valign="top">Longest distance to vaccinate (km)</td>
<td align="char" valign="top" char="(">32.5 (27&#x2013;48)</td>
<td align="char" valign="top" char="(">28 (15&#x2013;45)</td>
<td align="char" valign="top" char=".">0.39</td>
</tr>
<tr>
<td align="left" valign="top">Time to travel the longest distance (hours)</td>
<td align="char" valign="top" char="(">1.5 (1&#x2013;2)</td>
<td align="char" valign="top" char="(">1 (1&#x2013;2.5)</td>
<td align="char" valign="top" char=".">0.70</td>
</tr>
<tr>
<td align="left" valign="top">No villages covered per day</td>
<td align="char" valign="top" char="(">2 (1&#x2013;3)</td>
<td align="char" valign="top" char="(">2 (1&#x2013;2)</td>
<td align="char" valign="top" char=".">0.71</td>
</tr>
<tr>
<td align="left" valign="top">No farmers covered per day per vaccinator</td>
<td align="char" valign="top" char="(">10 (5&#x2013;20)</td>
<td align="char" valign="top" char="(">10 (5&#x2013;20)</td>
<td align="char" valign="top" char=".">0.93</td>
</tr>
<tr>
<td align="left" valign="top">No animals covered with vial of 100 doses</td>
<td align="char" valign="top" char="(">90 (80&#x2013;95)</td>
<td align="char" valign="top" char="(">95 (90&#x2013;97)</td>
<td align="char" valign="top" char=".">0.07</td>
</tr>
<tr>
<td align="left" valign="top">No farmers covered with vial of 100 doses</td>
<td align="char" valign="top" char="(">3 (2&#x2013;5)</td>
<td align="char" valign="top" char="(">3 (2&#x2013;4)</td>
<td align="char" valign="top" char=".">0.63</td>
</tr>
<tr>
<td align="left" valign="top">Cost of ice per day (USD)</td>
<td align="char" valign="top" char="(">0.5 (0.3&#x2013;0.6)</td>
<td align="char" valign="top" char="(">0.6 (0.5&#x2013;1.6)</td>
<td align="char" valign="top" char=".">0.08</td>
</tr>
<tr>
<td align="left" valign="top">Cost of ice per campaign (USD)</td>
<td align="char" valign="top" char="(">11.8 (6.6&#x2013;23.9)</td>
<td align="char" valign="top" char="(">14.8 (4.6&#x2013;46.2)</td>
<td align="char" valign="top" char=".">0.91</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>p</italic>-values correspond to Mann&#x2013;Whitney <italic>U</italic> test comparing groups for each indicator.</p>
</table-wrap-foot>
</table-wrap>
<p>The shortest median distance travelled to vaccinate was 1&#x202F;km for both, corresponding to a time taken of 10&#x202F;min. The longest median distance travelled to vaccinate was 32.5 and 28&#x202F;km for private and public vaccinators respectively, corresponding to a time taken of 1.5 and 1&#x202F;h.</p>
<p>In one day of vaccination, both private and public vaccinators cover on 2 villages as well as 10 farmers.</p>
<p>With a vial of 100 doses, they vaccinate a median number of 90 and 95 animals in the private and public sector, respectively. This represents 3 farmers per vial in both the private and public sectors.</p>
<p>The cost of ice per vaccination day in the field was estimated at USD 0.5 and 0.6 in the private and public sectors, respectively. This makes a total cost per campaign of USD 11.8 and 14.8 of ice used in the field, respectively, in the private and public sectors. No significant difference was observed between the two groups regarding these statistics (<xref ref-type="table" rid="tab6">Table 6</xref>).</p>
</sec>
<sec id="sec13">
<label>3.5</label>
<title>Vaccine wastage rate</title>
<sec id="sec14">
<label>3.5.1</label>
<title>Respondent statements on the vaccine wastage causes</title>
<p>During vaccine transportation, 34.7% of respondents in the private sector and 37.5% in the public sector reported vial breakage. Only a small proportion reported wastage due to cold chain failures (4.0 and 3.1%) or vaccine disappearance (2.7 and 0.0%). During storage, few proportions also reported wastage due to vial breakage (16.0 and 9.4%), cold chain failure (5.3 and 9.4), vaccine disappearance (1.3 and 0.0%), vaccine expiration (4.0 and 18.8%) or missing vial (6.7 and 0.0%). In the field, the main causes of vaccine wastage during use were vaccine denaturation (reported by 92.9 and 89.9% of respondents in the public and private sectors, respectively), improper injection (88.6 and 100%), errors during reconstitution (28.6 and 36.8%), and vial breakage (20.0 and 36.8%). No statistically significant differences were observed between the two sectors regarding the causes of vaccine wastage across the different stages of distribution, except the vaccine expiration during the storage mostly observed in the public sector (<xref ref-type="table" rid="tab7">Table 7</xref>).</p>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>Reported causes of PPR vaccine wastage during transportation, storage and usage in the private and public sectors in Mali.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Items</th>
<th align="center" valign="top" colspan="2">Frequency (percentage; 95% CI)</th>
<th align="center" valign="top" rowspan="2"><italic>p</italic>-value</th>
</tr>
<tr>
<th align="center" valign="top">Private sector</th>
<th align="center" valign="top">Public sector</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom" colspan="4">During vaccine transportation, have you recorded vial breakage? (<italic>n</italic>&#x202F;=&#x202F;75; 32)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;Yes</td>
<td align="char" valign="bottom" char="(">26 (34.7; 24.9&#x2013;45.9)</td>
<td align="char" valign="bottom" char="(">12 (37.5; 22.9&#x2013;54.7)</td>
<td align="char" valign="middle" char="." rowspan="2">0.82</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;No</td>
<td align="char" valign="bottom" char="(">49 (65.3; 54.1&#x2013;75.1)</td>
<td align="char" valign="bottom" char="(">20 (62.5; 45.3&#x2013;77.1)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="4">During vaccine transportation, have you recorded cold chain failure? (<italic>n</italic>&#x202F;=&#x202F;75; 32)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;Yes</td>
<td align="char" valign="bottom" char="(">3 (4.0; 1.4&#x2013;11.1)</td>
<td align="char" valign="bottom" char="(">1 (3.1; 0.6&#x2013;15.7)</td>
<td align="char" valign="middle" char="." rowspan="2">1.00</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;No</td>
<td align="char" valign="bottom" char="(">72 (96.0; 88.9&#x2013;98.6)</td>
<td align="char" valign="bottom" char="(">31 (96.9; 84.3&#x2013;99.4)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="4">During vaccine transportation, have you recorded vaccine disappearance? (<italic>n</italic>&#x202F;=&#x202F;75; 32)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;Yes</td>
<td align="char" valign="bottom" char="(">2 (2.7; 0.7&#x2013;9.2)</td>
<td align="char" valign="bottom" char="(">0 (0.0; 0.0&#x2013;10.7)</td>
<td align="char" valign="middle" char="." rowspan="2">1.00</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;No</td>
<td align="char" valign="bottom" char="(">73 (97.3; 90.8&#x2013;99.3)</td>
<td align="char" valign="bottom" char="(">32 (100; 89.3&#x2013;100)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="4">During vaccine storage, have you recorded vial breakage? (<italic>n</italic>&#x202F;=&#x202F;75; 32)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;Yes</td>
<td align="char" valign="bottom" char="(">12 (16.0; 9.4&#x2013;25.9)</td>
<td align="char" valign="bottom" char="(">3 (9.4; 3.2&#x2013;24.2)</td>
<td align="char" valign="middle" char="." rowspan="2">0.54</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;No</td>
<td align="char" valign="bottom" char="(">63 (84.0; 74.1&#x2013;90.6)</td>
<td align="char" valign="bottom" char="(">29 (90.6; 75.8&#x2013;96.8)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="4">During vaccine storage, have you recorded cold chain failure? (<italic>n</italic>&#x202F;=&#x202F;75; 32)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;Yes</td>
<td align="char" valign="bottom" char="(">4 (5.3; 2.1&#x2013;12.9)</td>
<td align="char" valign="bottom" char="(">3 (9.4; 3.2&#x2013;24.2)</td>
<td align="char" valign="middle" char="." rowspan="2">0.42</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;No</td>
<td align="char" valign="bottom" char="(">71 (94.7; 87.1&#x2013;97.9)</td>
<td align="char" valign="bottom" char="(">29 (90.6; 75.8&#x2013;96.8)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="4">During vaccine storage, have you recorded vaccine disappearance? (<italic>n</italic>&#x202F;=&#x202F;75; 32)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;Yes</td>
<td align="char" valign="bottom" char="(">1 (1.3; 0.2&#x2013;7.2)</td>
<td align="char" valign="bottom" char="(">0 (0.0; 0.0&#x2013;10.7)</td>
<td align="char" valign="middle" char="." rowspan="2">1.00</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;No</td>
<td align="char" valign="bottom" char="(">74 (98.7; 92.8&#x2013;99.8)</td>
<td align="char" valign="bottom" char="(">32 (100; 89.3&#x2013;100)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="4">During vaccine storage, have you recorded vaccine expiration? (<italic>n</italic>&#x202F;=&#x202F;75; 32)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;Yes</td>
<td align="char" valign="bottom" char="(">3 (4.0; 1.4&#x2013;11.1)</td>
<td align="char" valign="bottom" char="(">6 (18.8; 8.9&#x2013;35.3)</td>
<td align="char" valign="middle" char="." rowspan="2">0.02&#x002A;</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;No</td>
<td align="char" valign="bottom" char="(">72 (96.0; 88.9&#x2013;98.6)</td>
<td align="char" valign="bottom" char="(">26 (81.2; 64.7&#x2013;91.1)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="4">During vaccine storage, have you recorded missing vial? (<italic>n</italic>&#x202F;=&#x202F;75; 32)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;Yes</td>
<td align="char" valign="bottom" char="(">5 (6.7; 2.9&#x2013;14.7)</td>
<td align="char" valign="bottom" char="(">0 (0.0; 0.0&#x2013;10.7)</td>
<td align="char" valign="middle" char="." rowspan="2">0.31</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;No</td>
<td align="char" valign="bottom" char="(">70 (93.3; 85.3&#x2013;97.1)</td>
<td align="char" valign="bottom" char="(">32 (100; 89.3&#x2013;100)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="4">During vaccine usage, have you recorded vial breakage? (<italic>n</italic>&#x202F;=&#x202F;70; 19)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;Yes</td>
<td align="char" valign="bottom" char="(">14 (20.0; 12.3&#x2013;30.8)</td>
<td align="char" valign="bottom" char="(">7 (36.8; 19.1&#x2013;58.7)</td>
<td align="char" valign="middle" char="." rowspan="2">0.13</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;No</td>
<td align="char" valign="bottom" char="(">56 (80.0; 69.2&#x2013;87.7)</td>
<td align="char" valign="bottom" char="(">12 (63.2; 41.0&#x2013;80.9)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="4">During vaccine usage, have you recorded cold chain failure? (<italic>n</italic>&#x202F;=&#x202F;70; 19)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;Yes</td>
<td align="char" valign="bottom" char="(">1 (1.4; 0.3&#x2013;7.7)</td>
<td align="char" valign="bottom" char="(">1 (5.3; 0.9&#x2013;24.6)</td>
<td align="char" valign="middle" char="." rowspan="2">0.38</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;No</td>
<td align="char" valign="bottom" char="(">69 (98.6; 92.3&#x2013;99.7)</td>
<td align="char" valign="bottom" char="(">18 (94.7; 75.4&#x2013;99.1)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="4">During vaccine usage, have sample the vaccine for awareness raising session? (<italic>n</italic>&#x202F;=&#x202F;70; 19)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;Yes</td>
<td align="char" valign="bottom" char="(">2 (2.9; 0.8&#x2013;9.8)</td>
<td align="char" valign="middle" char="(">0 (0.0; 0.0&#x2013;16.8)</td>
<td align="char" valign="middle" char="." rowspan="2">1.0</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;No</td>
<td align="char" valign="bottom" char="(">68 (97.1; 90.2&#x2013;99.2)</td>
<td align="char" valign="bottom" char="(">19 (100; 83.2&#x2013;100)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="4">During vaccine usage, have you recorded vaccine wastage by reconstituting the vaccine? (<italic>n</italic>&#x202F;=&#x202F;70; 19)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;Yes</td>
<td align="char" valign="bottom" char="(">20 (28.6; 19.3&#x2013;40.1)</td>
<td align="char" valign="bottom" char="(">7 (36.8; 19.1&#x2013;58.7)</td>
<td align="char" valign="middle" char="." rowspan="2">0.56</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;No</td>
<td align="char" valign="bottom" char="(">50 (71.4; 59.9&#x2013;80.7)</td>
<td align="char" valign="bottom" char="(">12 (63.2; 41.0&#x2013;80.9)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="4">During vaccine usage, have you recorded denaturation of the vaccine? (<italic>n</italic>&#x202F;=&#x202F;70; 19)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;Yes</td>
<td align="char" valign="bottom" char="(">65 (92.9; 84.3&#x2013;96.9)</td>
<td align="char" valign="bottom" char="(">17 (89.5; 68.6&#x2013;97.1)</td>
<td align="char" valign="middle" char="." rowspan="2">0.63</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;No</td>
<td align="char" valign="bottom" char="(">5 (7.1; 3.1&#x2013;15.7)</td>
<td align="char" valign="bottom" char="(">2 (10.5; 2.9&#x2013;31.4)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="4">During vaccine usage, have you recorded wastage during the injection? (<italic>n</italic>&#x202F;=&#x202F;70; 19)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;Yes</td>
<td align="char" valign="bottom" char="(">62 (88.6; 79.0&#x2013;94.1)</td>
<td align="char" valign="bottom" char="(">19 (100; 83.2&#x2013;100)</td>
<td align="char" valign="middle" char="." rowspan="2">0.19</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2003;No</td>
<td align="char" valign="bottom" char="(">8 (11.4; 5.9&#x2013;21.0)</td>
<td align="char" valign="bottom" char="(">0 (0.0; 0.0&#x2013;16.8)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>p</italic>-values correspond to Exact Fisher tests comparing groups for each indicator. &#x002A;<italic>p</italic>-value statistically significant (&#x003C;0.05).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec15">
<label>3.5.2</label>
<title>Estimated wastage rate description</title>
<p>The media wastage rate is estimated at 0.39, 0.08, 0.0, 0.45, 0.0, 24.0 and 25.0%, respectively at the DNSV, VTMS central offices, DRSV, VTMS regional offices, VS, VP and VTMS levels. Thus, important wastage rates were observed at the field level in both public and private sector. No statistically significant differences were observed between the public and private sectors in vaccine wastage rates across the different stages of the distribution chain. Combining the wastage rate of all vaccine distribution levels, the wastage rate for the private sector and public sector is estimated at 25.4 and 24.3% respectively, making an overall wastage rate of 25.0% at national level (<xref ref-type="table" rid="tab8">Table 8</xref>).</p>
<table-wrap position="float" id="tab8">
<label>Table 8</label>
<caption>
<p>PPR vaccine wastage rates along the vaccine value chains in Mali.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Level</th>
<th align="center" valign="top">n</th>
<th align="center" valign="top">Median (IQR)</th>
<th align="left" valign="top">Stage</th>
<th align="center" valign="top">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">DNSV</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">0.39</td>
<td align="left" valign="middle" rowspan="2">Central</td>
<td align="center" valign="middle" rowspan="2">0.22</td>
</tr>
<tr>
<td align="left" valign="top">VTMS central offices</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.08 (0&#x2013;0.16)</td>
</tr>
<tr>
<td align="left" valign="top">DRSV</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0.0 (0&#x2013;0)</td>
<td align="left" valign="middle" rowspan="3">Intermediate</td>
<td align="center" valign="middle" rowspan="3">0.38</td>
</tr>
<tr>
<td align="left" valign="top">VTMS regional offices</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0.45 (0&#x2013;4)</td>
</tr>
<tr>
<td align="left" valign="top">VS</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">0.0 (0&#x2013;3)</td>
</tr>
<tr>
<td align="left" valign="top">VP</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">24.0 (14.7&#x2013;34)</td>
<td align="left" valign="middle" rowspan="2">Field</td>
<td align="center" valign="middle" rowspan="2">0.71</td>
</tr>
<tr>
<td align="left" valign="top">VTMS</td>
<td align="center" valign="top">70</td>
<td align="center" valign="top">25.0 (15&#x2013;40)</td>
</tr>
<tr>
<td align="left" valign="top">Private sector</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">25.4</td>
<td align="left" valign="middle" rowspan="3">National</td>
<td align="center" valign="middle">n/a</td>
</tr>
<tr>
<td align="left" valign="top">Public sector</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">24.3</td>
<td align="center" valign="top">n/a</td>
</tr>
<tr>
<td align="left" valign="top">National</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">25.0</td>
<td align="center" valign="top">n/a</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>p</italic>-values correspond to Kruskal&#x2013;Wallis tests comparing groups within each stage.</p>
</table-wrap-foot>
</table-wrap>
<p>As shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>, most wastage occurred during transport for DNSV, central and regional VTMS offices (89, 76 and 60%), during storage at the DRSV and VS levels (100 and 85%) and during use at the VTMS and VP levels (93 and 83%).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Distribution of place of PPR vaccine wastage over the vaccine value chain levels in Mali.</p>
</caption>
<graphic xlink:href="fvets-12-1635447-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart showing percentages for transport, storage, and usage across various offices: VP (2% transport, 15% storage, 83% usage), VTMS (4% transport, 3% storage, 93% usage), VS (15% transport, 85% storage), VTMS regional office (60% transport, 40% storage), DRSV (100% storage), VTMS central office (76% transport, 24% storage), DNSV (89% transport, 11% storage).</alt-text>
</graphic>
</fig>
<p>The top four causes of wastage were vaccine denaturation (46.0 and 32.4% in the private and public actors), improper injection (32.8 and 45.6%), vial breakage (11.2 and 11.1%), and reconstitution errors (7.4 and 8.8%). The cold chain failure was estimated to represent only 0.4 and 0.5% of the wastage rate, respectively, in the private and public sectors (<xref ref-type="fig" rid="fig3">Figure 3</xref>). At the intermediate level, wastage is due to vial breakage (32%) and expiration (68%) in the public sector while it is mainly caused by vial breakage (78%) and disappearance (17%) in the private sector (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Distribution of PPR wastage causes over the private and public vaccinators at field level in Mali.</p>
</caption>
<graphic xlink:href="fvets-12-1635447-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart comparing vaccine failure causes by public vaccinators and private veterinarians. Denaturation and improper injection are the main causes for both, with higher percentages in private veterinarians. Other causes include vial breakage, reconstitution error, expiration, cold chain failure, disappearance, and others, with lower percentages.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Distribution of PPR wastage causes over the private and public actors at intermediate level in Mali.</p>
</caption>
<graphic xlink:href="fvets-12-1635447-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar graph comparing reasons for vaccine wastage between public and private actors. Vial breakage: public 32%, private 78%. Expiration: public 68%, private 0%. Disappearance: public 0%, private 17%. Others: public 0%, private 5%.</alt-text>
</graphic>
</fig>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="sec16">
<label>4</label>
<title>Discussion</title>
<p>
<list list-type="bullet">
<list-item>
<p>Vaccine transport, storage, and use highlights</p>
</list-item>
</list>
</p>
<p>Vaccines are primarily transported from supply sources to storage or vaccination sites using coolers, although, these containers have limited capacity to effectively maintain the cold chain (<xref ref-type="bibr" rid="ref26">26</xref>). Depending on the distribution level, vaccines are transported over distances ranging from 11&#x202F;km to more than 400&#x202F;km with significant difference for regional actors, due to the considerable separation between regional capitals and Bamako, the national capital. They typically require a minimum of 4&#x202F;h, while those operating at intermediate or field levels generally take 1&#x2013;2 h, despite covering shorter distances. This is largely due to factors such as the modes of transportation, primarily motorcycles, and poor road conditions, which can prolong transit time for field-level personnel. Interestingly, the cost of ice used to preserve vaccines during transport is relatively uniform across all distribution levels, ranging from USD 0.6 to 1.9 per trip for most cases. However, given the disparities in vaccine volumes transported, this uniformity suggests a proportionally higher ice cost at the field level. This is likely attributable to longer transport durations and suboptimal transport conditions.</p>
<p>Regarding vaccine storage, only half of stakeholders rely primarily on the electricity supplied by public utilities supplemented by personal solar energy systems. This trend reflects the ongoing energy crisis, with public electricity coverage reaching only 52% nationwide and just 24% in rural areas (<xref ref-type="bibr" rid="ref41">41</xref>). In particular, central veterinary services that lack functional solar installations refrain from maintaining vaccine stockpiles, to minimize losses caused by cold chain failure during power outages. The absence of secondary sources of energy is also noted by at least two-third of stakeholders posing a risk to vaccine quality, as cold chain failure may occur without being detected, especially in the absence of a temperature monitoring and recording system. This not only jeopardizes vaccination efficacy but also limits the capacity to accurately estimate vaccine wastage rate linked to cold chain failures.</p>
<p>The study highlighted the limited capacity of vaccinators to cover the target populations. In fact, in one day of vaccination, both private and public vaccinators can only cover two villages corresponding to 10 farmers. This might be due to the spread distribution villages and herd in the context of Mali combining to the low logistics of actors (mean of transport, insufficiency of vaccinators and vaccination materiel). Moreover, accessing certain locations can be challenging due to their remoteness and poor road conditions, particularly during the rainy season. The nature of the vaccine is also a major constraint considering the context. Indeed, a 100-dose vaccine vial typically covers only three farmers considering the small-scale SR herds managed by most of farmers. Consequently, due to the limited time window (maximum 1&#x202F;h) for using vaccines after vial opening, combined with the logistical challenges of assembling animals and the low number of doses required per herd, only a limited number of animals can be vaccinated from a single vial (<xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref42">42</xref>). This constraint leads to considerable vaccine wastage, not only due to denaturation after vial opening but also from residual losses during administration. Efforts should focus on strengthening the logistical capacity of field actors to enable them to vaccinate a larger number of animals per day. This would help shorten the duration of vaccination campaigns, which is crucial for the efficient management of limited resources.</p>
<list list-type="bullet">
<list-item>
<p>Significant wastage predominantly occurs in the field</p>
</list-item>
</list>
<p>The wastage rates are estimated at 24.3 and 25.4% for the public and private sectors, respectively, resulting in a national wastage rate of 25%. The WHO acknowledges that establishing a universally acceptable vaccine wastage threshold is not feasible, as it varies depending on vaccination programs, local contexts, disease profiles, and vaccine types (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref43">43</xref>). Studies conducted in various regions on comparable freeze-dried vaccines used in human immunization programs have reported a wide range of wastage rates, varying from 5 to 79% (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref45">45</xref>). However, few studies have addressed vaccine wastage within the field of animal health. In Ethiopia, for instance, the wastage rate of the PPR vaccine was estimated at 22% (<xref ref-type="bibr" rid="ref18">18</xref>). Regardless, vaccination coverage remains the most critical factor to consider. The WHO recommends factoring in vaccination coverage when evaluating wastage rates. The correlation between vaccine wastage rate and immunization coverage is crucial for determining whether wastage levels are relatively excessive. Both metrics should be analyzed over time rather than at a single time point to identify trends (<xref ref-type="bibr" rid="ref14">14</xref>). Based on this approach, the estimated wastage rate of 25% observed in the current study is considered notably high, particularly given the low vaccination coverage of only 10% (<xref ref-type="bibr" rid="ref10">10</xref>).</p>
<p>Our study shows that wastage is much lower at the central and intermediate levels compared to the field level. Indeed, these levels only cover vaccine transport and storage, and the wastage occurs mainly with unopened vials (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref46">46</xref>). In contrast, wastage at the field level predominantly results from factors such as denaturation, improper injection, vial breakage, and reconstitution errors. These four causes alone account for at least 97% of wastage in both the public and private sectors. Wastage is mainly recorded during vaccine transport, storage, and use, respectively, for actors at the central, intermediate, and field levels. This once again highlights the need to strengthen resource allocation to field actors to improve the implementation of vaccination campaigns.</p>
<p>Denaturation is one of the main factors contributing to vaccine wastage in this study. It can be attributed to the short timeframe for vaccine use after reconstitution (typically 1&#x202F;h), small flock sizes, and the logistical challenges of assembling animals for vaccination in Mali context (<xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>). Numerous studies have shown that the wastage rate of freeze-dried vaccines is significantly higher than that of liquid vaccines, primarily due to their greater susceptibility to denaturation once opened (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref49">49</xref>). Unfortunately, only honest actors are likely to adhere to this deadline because a denatured vaccine cannot be differentiated from a normal vaccine at first sight. A vaccinator could easily mislead farmers and continue administering vaccines in order to maximize personal profit. This highlights the importance of vigilance among farmers when using this type of vaccine. Their active participation in vaccine quality control is crucial, especially when dealing with vaccinators who may have limited training. Moreover, many vaccinators shift the burden of vaccine wastage onto farmers by charging them for the full cost of a 100-dose vial, regardless of the number of animals vaccinated. They administer doses to the available animals and discard the remaining volume. This type of wastage often goes unnoticed at the national level. As a result, some vaccinators may report the number of doses paid for rather than the actual number of animals vaccinated, leading to distorted estimates of vaccination coverage. A practical, though not necessarily cheaper, alternative would be to use vials with fewer doses to help minimize such wastage (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref44">44</xref>). Wastage can also be reduced by organizing sessions with large numbers of animals (grouping herds), so even if the last vial used has doses remaining, it is a small proportion of the doses distributed during the session.</p>
<p>Vaccine wastage during injection is frequently associated with the vaccinator&#x2019;s level of experience and the adequacy of animal restraint. Despite the high level of education of the respondents, it is essential to provide thorough training to vaccinators, particularly when involving inexperienced vaccinators and community-level personnel with limited technical backgrounds. Similar attention should be given to procedures related to vaccine reconstitution, which can also be a significant source of wastage.</p>
<p>Vial breakages are frequently observed due to inadequate transport conditions, particularly when vaccines are carried in coolers where ice packs and vaccine vials are placed haphazardly, which is common in the context of Mali. This increases the risk of impact between the ice packs and the vials, leading to breakage (<xref ref-type="bibr" rid="ref26">26</xref>). Additionally, some actors store the vaccine in freezers at &#x2212;20&#x202F;&#x00B0;C, as recommended by the manufacturer for long-term storage (up to 2&#x202F;years) (<xref ref-type="bibr" rid="ref12">12</xref>). However, the vials often become frozen solid, increasing the risk of damage, especially during removal if handled carelessly.</p>
<list list-type="bullet">
<list-item>
<p>Addressing cold chain failures: thermotolerant vaccines as a sustainable solution</p>
</list-item>
</list>
<p>Cold chain failures appear to be a minor contributor to vaccine wastage in contrast to the conclusions reported by Michel et al. (<xref ref-type="bibr" rid="ref13">13</xref>). In the public sector, only 3.1, 9.4, and 5.3% of respondents reported experiencing cold chain failure during transport, storage, and field use, respectively. Similarly, in the private sector, 4.0, 5.3, and 1.4% of respondents reported such failures during the same phases. Moreover, cold chain failures contributed minimally to overall vaccine wastage, accounting for only 0.4 and 0.5% in the private and public sectors, respectively. Although there is an important risk of underestimating the wastage related to cold chain failure (see study limitations in the following section), this wastage deserves to be seriously considered in vaccination programs. As precautionary measure, it is essential to transport vaccines using insulated containers with tight-fitting lids. When lined with ice packs, these containers help maintain the required cold temperatures for both vaccines and diluents during transport and/or temporary storage (<xref ref-type="bibr" rid="ref26">26</xref>). Moreover, the use of thermotolerant vaccines offers a significant advantage in hot and arid regions such as Mali, where cold chain infrastructure is limited and where recent electricity shortages have further exacerbated storage challenges (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref50">50</xref>, <xref ref-type="bibr" rid="ref51">51</xref>). For instance, the PPR thermotolerant vaccine developed by the International Livestock Research Institute (ILRI), in collaboration with Mali Central veterinary laboratory (LCV) and Hester Biosciences, can be stored or transported at 32.5 degrees Celsius for 9&#x202F;days (<xref ref-type="bibr" rid="ref52">52</xref>). Additionally, it remains viable for up to 5&#x202F;h after reconstitution (<xref ref-type="bibr" rid="ref53">53</xref>), which greatly reduces wastage related to denaturation, previously accounting for 46.0 and 32.4% of field wastage in the private and public sectors, respectively.</p>
<list list-type="bullet">
<list-item>
<p>Study limitations</p>
</list-item>
</list>
<p>The limitation of this study is the approach used to estimate the wastage due to cold chain failure. The findings were based on a cross-sectional study relying on self-reported data collected during interviews. Since temperature fluctuations were not directly monitored, cold chain-related wastage may be underestimated, as breaches can occur without the knowledge of those managing the cold chain. This concern is particularly relevant in the current context in Mali, where there are frequent power outages, the lack of backup power sources for most actors, the long distances of vaccine transportation and the use of inadequate vaccine coolers during transport might further compromise cold chain integrity. Besides, Dione et al., have raised concerns about the quality of vaccines delivered to farmers in Mali regarding the low capacity of veterinarians to store the vaccine at required temperatures (<xref ref-type="bibr" rid="ref48">48</xref>). More rigorous approaches should be used to better estimate the wastage due to cold chain failure by recording the temperatures through all levels of the PPR vaccine distribution over the time. Moreover, implementing a reliable temperature monitoring and recording system is a critical component of PPR control and eradication strategies, even in developed countries. For instance, a temperature monitoring study conducted by Young et al. (<xref ref-type="bibr" rid="ref26">26</xref>) for a month in India, the vaccine supply system showed significant peaks in temperatures (above 10&#x202F;&#x00B0;C). A study conducted by Scott and Shannon (<xref ref-type="bibr" rid="ref54">54</xref>) in the United States on the supply chain of animal health products showed that only a third of the refrigerators of the distributors tested operated within the acceptable temperature range. Among those who claimed to monitor temperatures, some relied solely on subjective assessment, such as noting that the vaccines felt &#x201C;cool&#x201D; upon removal, rather than using proper thermometric equipment. Even inside a freezer, temperature variations can occur depending on the specific location where the vaccines are stored (<xref ref-type="bibr" rid="ref55">55</xref>).</p>
</sec>
<sec sec-type="conclusions" id="sec17">
<label>5</label>
<title>Conclusion</title>
<p>This study revealed a high vaccine wastage rate during PPR vaccination in Mali, at the same time as low vaccination coverage. Wastage primarily occurs at the field level through denaturation, improper injection, vial breakage, and reconstitution errors. Such wastage poses a significant challenge to the PPR control strategy, which heavily relies on mass vaccination. To mitigate field-level wastage, it is essential to implement several measures: adopting vials that contain fewer vaccine doses per vial, using vaccines with longer stability post-reconstitution, promoting thermotolerant vaccines, enhancing vaccinator training, and improving the organization of vaccination campaigns. Additionally, regular temperature monitoring and recording are crucial for better management cold chain-related wastage.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec18">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec19">
<title>Ethics statement</title>
<p>The requirement of ethical approval was waived by Directorate of Veterinary Services for the studies involving humans because this study was carried out in the framework of routine vaccination campaigns implemented by the vet services with their agents in the field. The requirement of ethical approval was waived by Directorate of Veterinary Services for the studies involving humans because the study was implemented with them. We obtained a letter of support from them before we start the study. The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board also waived the requirement of written informed consent for participation from the participants or the participants&#x2019; legal guardians/next of kin because the research topic is non-sensitive, anonymized, and involves no confidential information. The respondents voluntarily agree to speak. Thus the project team decided in accordance with local partners to ask the oral consent. This is a common approach in the area.</p>
</sec>
<sec sec-type="author-contributions" id="sec20">
<title>Author contributions</title>
<p>GI: Formal analysis, Validation, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Methodology, Data curation, Software, Conceptualization, Investigation. AS: Writing &#x2013; original draft, Formal analysis, Data curation, Validation, Methodology, Conceptualization, Investigation, Writing &#x2013; review &#x0026; editing, Software. CS: Supervision, Project administration, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. LO: Methodology, Software, Conceptualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Formal analysis. TK-J: Project administration, Visualization, Conceptualization, Resources, Writing &#x2013; original draft, Funding acquisition, Writing &#x2013; review &#x0026; editing, Validation, Supervision. CF: Validation, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft. MD: Methodology, Writing &#x2013; review &#x0026; editing, Funding acquisition, Supervision, Writing &#x2013; original draft, Validation, Visualization, Conceptualization, Project administration.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We gratefully acknowledge Jan W. Low, Agricultural Economist and 2016 World Food Prize Laureate, for her valuable advice during the conception and implementation of the study. We also extend our sincere thanks to all participants for generously sharing their insights during data collection.</p>
</ack>
<sec sec-type="COI-statement" id="sec21">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The reviewer AT declared a past co-authorship with the author TK-J to the handling editor.</p>
</sec>
<sec sec-type="ai-statement" id="sec22">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec23">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0002">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/139084/overview">Mar&#x00ED;a Sol P&#x00E9;rez Aguirreburualde</ext-link>, University of Minnesota Twin Cities, United States</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0003">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2635088/overview">Abebe Tibebu</ext-link>, Sekota Dryland Agricultural Research Center, Ethiopia</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3205979/overview">Menya Muzafalu</ext-link>, Mayuge District Local Government, Uganda</p>
</fn>
</fn-group>
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</article>