170 research outputs found
National consultation workshop on private sector participation in animal health services in Kenya: Workshop report
Delivery of animal health services in extensive livestock production systems: Report of a stakeholder workshop, Nairobi, 9‐10 March 2017
The use of the Infection and Treatment Method vaccine in controlling East Coast Fever in Kenya: Does gender matter for adoption and impact?
United States Agency for International DevelopmentInternal Revie
Access to livestock health interventions and products in dairy and cattle value chains in Tanzania
Better enforcement of standards for safer trade in livestock and livestock products across the Red Sea: Feasibility study for a joint Horn of Africa-Arabian Peninsula initiative
Introducing the Accelerated Value Chain Development (AVCD) in Kenya project: Livestock Value Chain (LVC) Component
United States Agency for International Developmen
Where should the Muguga cocktail be used? The distributions of Theileria parva, its hosts and vectors in Africa
Network Analysis of Small Ruminant Movements in Uganda: Implications for Control of Transboundary Animal Diseases
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
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