Analysis of patterns of livestock movements in the Cattle Corridor of Uganda for risk-based surveillance of infectious diseases
Introduction: The knowledge of animal movements is key to formulating strategic animal disease control policies and carrying out targeted surveillance. This study describes the characteristics of district-level cattle, small ruminant, and pig trade networks in the Cattle Corridor of Uganda between 2...
| Autores principales: | , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
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Frontiers Media
2023
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| Acceso en línea: | https://hdl.handle.net/10568/128348 |
| _version_ | 1855538910720950272 |
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| author | Hasahya, Emmanuel Thakur, K. Dione, Michel M. Kerfua, S.D. Mugezi, I. Hu Suk Lee |
| author_browse | Dione, Michel M. Hasahya, Emmanuel Hu Suk Lee Kerfua, S.D. Mugezi, I. Thakur, K. |
| author_facet | Hasahya, Emmanuel Thakur, K. Dione, Michel M. Kerfua, S.D. Mugezi, I. Hu Suk Lee |
| author_sort | Hasahya, Emmanuel |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Introduction: The knowledge of animal movements is key to formulating strategic animal disease control policies and carrying out targeted surveillance. This study describes the characteristics of district-level cattle, small ruminant, and pig trade networks in the Cattle Corridor of Uganda between 2019 and 2021.
Methodology: The data for the study was extracted from 7,043 animal movement permits (AMPs) obtained from the Ministry of Agriculture, Animal Industry and Fisheries (MAAIF) of Uganda. Most of the data was on cattle (87.2%), followed by small ruminants (11.2%) and pigs (1.6%). Two types of networks representing animal shipments between districts were created for each species based on monthly (n = 30) and seasonal (n = 10) temporal windows. Measures of centrality and cohesiveness were computed for all the temporal windows and our analysis identified the most central districts in the networks.
Results: The median in-degree for monthly networks ranged from 0–3 for cattle, 0–1 for small ruminants and 0–1 for pigs. The highest median out-degrees for cattle, small ruminant and pig monthly networks were observed in Lira, Oyam and Butambala districts, respectively. Unlike the pig networks, the cattle and small ruminant networks were found to be of small-world and free-scale topologies.
Discussion: The cattle and small ruminant trade movement networks were also found to be highly connected, which could facilitate quick spread of infectious animal diseases across these networks. The findings from this study highlighted the significance of characterizing animal movement networks to inform surveillance, early detection, and subsequent control of infectious animal disease outbreaks. |
| format | Journal Article |
| id | CGSpace128348 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1283482025-12-08T10:29:22Z Analysis of patterns of livestock movements in the Cattle Corridor of Uganda for risk-based surveillance of infectious diseases Hasahya, Emmanuel Thakur, K. Dione, Michel M. Kerfua, S.D. Mugezi, I. Hu Suk Lee livestock cattle animal diseases epidemiology Introduction: The knowledge of animal movements is key to formulating strategic animal disease control policies and carrying out targeted surveillance. This study describes the characteristics of district-level cattle, small ruminant, and pig trade networks in the Cattle Corridor of Uganda between 2019 and 2021. Methodology: The data for the study was extracted from 7,043 animal movement permits (AMPs) obtained from the Ministry of Agriculture, Animal Industry and Fisheries (MAAIF) of Uganda. Most of the data was on cattle (87.2%), followed by small ruminants (11.2%) and pigs (1.6%). Two types of networks representing animal shipments between districts were created for each species based on monthly (n = 30) and seasonal (n = 10) temporal windows. Measures of centrality and cohesiveness were computed for all the temporal windows and our analysis identified the most central districts in the networks. Results: The median in-degree for monthly networks ranged from 0–3 for cattle, 0–1 for small ruminants and 0–1 for pigs. The highest median out-degrees for cattle, small ruminant and pig monthly networks were observed in Lira, Oyam and Butambala districts, respectively. Unlike the pig networks, the cattle and small ruminant networks were found to be of small-world and free-scale topologies. Discussion: The cattle and small ruminant trade movement networks were also found to be highly connected, which could facilitate quick spread of infectious animal diseases across these networks. The findings from this study highlighted the significance of characterizing animal movement networks to inform surveillance, early detection, and subsequent control of infectious animal disease outbreaks. 2023-01-23 2023-01-31T09:32:26Z 2023-01-31T09:32:26Z Journal Article https://hdl.handle.net/10568/128348 en Open Access Frontiers Media Hasahya, E., Thakur, K., Dione, M.M., Kerfua, S.D., Mugezi, I. and Hu Suk Lee. 2023. Analysis of patterns of livestock movements in the Cattle Corridor of Uganda for risk-based surveillance of infectious diseases. Frontiers in Veterinary Science 10: 1095293. |
| spellingShingle | livestock cattle animal diseases epidemiology Hasahya, Emmanuel Thakur, K. Dione, Michel M. Kerfua, S.D. Mugezi, I. Hu Suk Lee Analysis of patterns of livestock movements in the Cattle Corridor of Uganda for risk-based surveillance of infectious diseases |
| title | Analysis of patterns of livestock movements in the Cattle Corridor of Uganda for risk-based surveillance of infectious diseases |
| title_full | Analysis of patterns of livestock movements in the Cattle Corridor of Uganda for risk-based surveillance of infectious diseases |
| title_fullStr | Analysis of patterns of livestock movements in the Cattle Corridor of Uganda for risk-based surveillance of infectious diseases |
| title_full_unstemmed | Analysis of patterns of livestock movements in the Cattle Corridor of Uganda for risk-based surveillance of infectious diseases |
| title_short | Analysis of patterns of livestock movements in the Cattle Corridor of Uganda for risk-based surveillance of infectious diseases |
| title_sort | analysis of patterns of livestock movements in the cattle corridor of uganda for risk based surveillance of infectious diseases |
| topic | livestock cattle animal diseases epidemiology |
| url | https://hdl.handle.net/10568/128348 |
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