Network analysis of small ruminant movements in Uganda: Implications for control of transboundary animal diseases
cg.authorship.types | CGIAR and developing country institute | en |
cg.authorship.types | CGIAR and advanced research institute | en |
cg.contributor.affiliation | Freie Universität Berlin | en |
cg.contributor.affiliation | International Livestock Research Institute | en |
cg.contributor.affiliation | University of California, Davis | en |
cg.contributor.affiliation | Ministry of Agriculture, Animal Industry and Fisheries, Uganda | en |
cg.contributor.affiliation | University of Minnesota | en |
cg.contributor.affiliation | Makerere University | en |
cg.contributor.affiliation | University of Hohenheim | en |
cg.contributor.crp | Agriculture for Nutrition and Health | |
cg.contributor.crp | Livestock | |
cg.contributor.donor | Federal Ministry for Economic Cooperation and Development, Germany | en |
cg.contributor.donor | Food and Agriculture Organization of the United Nations | en |
cg.contributor.donor | CGIAR Trust Fund | en |
cg.coverage.country | Uganda | |
cg.coverage.iso3166-alpha2 | UG | |
cg.coverage.region | Africa | |
cg.coverage.region | Eastern Africa | |
cg.creator.identifier | Joseph Nkamwesiga: 0000-0001-6524-1241 | en |
cg.creator.identifier | Henry Kiara: 0000-0001-9578-1636 | en |
cg.creator.identifier | Kristina Roesel: 0000-0002-2553-1129 | en |
cg.howPublished | Formally Published | en |
cg.identifier.doi | https://doi.org/10.1155/tbed/7474495 | en |
cg.isijournal | ISI Journal | en |
cg.issn | 1865-1674 | en |
cg.issue | 1 | en |
cg.journal | Transboundary and Emerging Diseases | en |
cg.reviewStatus | Peer Review | en |
cg.subject.ilri | ANIMAL DISEASES | en |
cg.subject.ilri | DISEASE CONTROL | en |
cg.subject.ilri | GOATS | en |
cg.subject.ilri | PPR | en |
cg.subject.ilri | SHEEP | en |
cg.subject.ilri | SMALL RUMINANTS | en |
cg.subject.impactArea | Nutrition, health and food security | |
cg.subject.sdg | SDG 2 - Zero hunger | en |
cg.volume | 2025 | en |
dc.contributor.author | Nkamwesiga, Joseph | en |
dc.contributor.author | Rascón-García, K. | en |
dc.contributor.author | Lumu, P. | en |
dc.contributor.author | Kiara, Henry K. | en |
dc.contributor.author | Perez, A. | en |
dc.contributor.author | Muhanguzi, D. | en |
dc.contributor.author | Roesel, Kristina | en |
dc.date.accessioned | 2025-05-15T10:59:58Z | en |
dc.date.available | 2025-05-15T10:59:58Z | en |
dc.identifier.uri | https://hdl.handle.net/10568/174612 | |
dc.title | Network analysis of small ruminant movements in Uganda: Implications for control of transboundary animal diseases | en |
dcterms.abstract | Domestic animals are moved for reasons that are mutually beneficial to the animal and the farmer. Some examples include the need for fresh grazing grounds and watering points, or the need to access livestock markets for income to sustain farmers’ livelihoods. However, livestock mobility is a key risk factor for the transmission of transboundary animal diseases. Contact tracing of individual animals and flocks is very challenging, especially in most low-income countries, due to a lack of efficient livestock traceability systems. Despite these challenges, low-income countries, such as Uganda, issue paper-based animal movement permits (AMPs) to ensure only clinically healthy animals are moved following a physical inspection. In this study, we used national approximately 9 years of (2012–2020) small ruminant movement data obtained from archived AMPs in Uganda to describe small ruminant movement networks. The movement networks were described using social network analysis (SNA) approaches implemented in R software to identify and visualize relationships between individual and groups districts in Uganda. Lira, Kaberamaido, Nabilatuk, Mbarara, Kiruhura, Kampala, and Wakiso were identified as districts with the highest degree (in and out-degree) and betweenness among other centrality measures. Our results suggest these districts could be the most important bridges connecting the various regions of the country. Tailoring control interventions to such districts with high incoming and high outgoing shipments, or bridges, would accelerate the nation’s ability to timely detect outbreaks, prevent or mitigate further spread, and contain diseases in their original foci, respectively. We also identified areas for active surveillance, vaccination, quarantine, and biosecurity measures-staging depending on prevailing circumstances. These findings will be used to guide the national small ruminant infectious diseases control strategies and subsequently contribute to national and global initiatives, such as the 2030 Peste des petits ruminants (PPR) eradication program. | en |
dcterms.accessRights | Open Access | |
dcterms.audience | Academics | en |
dcterms.audience | Scientists | en |
dcterms.available | 2025-05-14 | en |
dcterms.bibliographicCitation | Nkamwesiga, J., Rascón-García, K., Lumu, P., Kiara, H., Perez, A., Muhanguzi, D. and Roesel, K. 2025. Network analysis of small ruminant movements in Uganda: Implications for control of transboundary animal diseases. Transboundary and Emerging Diseases 2025(1): 7474495. | en |
dcterms.extent | 7474495 | en |
dcterms.issued | 2025-01 | en |
dcterms.language | en | |
dcterms.license | CC-BY-4.0 | |
dcterms.publisher | Wiley | en |
dcterms.subject | animal diseases | en |
dcterms.subject | disease control | en |
dcterms.subject | goats | en |
dcterms.subject | peste des petits ruminants | en |
dcterms.subject | sheep | en |
dcterms.subject | small ruminants | en |
dcterms.type | Journal Article |
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