Analysis of patterns of livestock movements in the Cattle Corridor of Uganda for risk-based surveillance of infectious diseases.
Analysis of patterns of livestock movements in the Cattle Corridor of Uganda for risk-based surveillance of infectious diseases.
复制标题
对乌干达牛走廊的牲畜活动模式进行分析，以进行基于风险的传染病监测。
DOI：
10.3389/fvets.2023.1095293
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发表时间：
2023
影响因子：
3.2
通讯作者：
中科院分区：
文献类型：
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作者：
了解动物运动是制定战略性动物疾病控制政策和开展有针对性监测的关键。本研究描述了2019年至2021年乌干达牛走廊区级牛、小反刍动物和猪贸易网络的特征。该研究的数据是从乌干达农业、畜牧业和渔业部（MAAIF）获得的7043份动物移动许可证（amp）中提取的。大多数数据是牛（87.2%），其次是小反刍动物（11.2%）和猪（1.6%）。基于每月（n = 30）和季节性（n = 10）的时间窗口，为每个物种创建了两种类型的代表区域间动物运输的网络。计算了所有时间窗口的中心性和凝聚力的度量，我们的分析确定了网络中最中心的区域。月度网络的中位度范围为牛的0-3，小型反刍动物的0-1和猪的0-1。在Lira、Oyam和Butambala地区，牛、小反刍动物和猪的月度网络中位数出度最高。与猪的网络不同，牛和小型反刍动物的网络具有小世界和自由尺度的拓扑结构。牛和小反刍动物贸易运动网络也高度相连，这可能促进传染性动物疾病在这些网络中的快速传播。这项研究的结果强调了动物运动网络特征对监测、早期发现和随后控制传染性动物疾病暴发的重要性。
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. 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. 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. 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.
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影响因子：
2.6
作者：
Cabezas, A. H.;Sanderson, M. W.;Hanthorn, C. J.
通讯作者：
Hanthorn, C. J.
DOI：
10.5539/jas.v12n6p119
发表时间：
2020-01-01
期刊：
Journal of Agricultural Science (Toronto)
影响因子：
--
作者：
Kerfua, Susan D.;Dhikusooka, Moses T.;Haydon, Daniel T.
通讯作者：
Haydon, Daniel T.
影响因子：
5.5
作者：
Evans, Tim S.;Chen, Bingsheng
通讯作者：
Chen, Bingsheng
影响因子：
2.6
作者：
Lichoti, Jacqueline Kasiiti;Davies, Jocelyn;Bishop, Richard P.
通讯作者：
Bishop, Richard P.
影响因子：
4.3
作者：
Mayanja, Maureen Nanziri;Rubaire-Akiiki, Chris;Kabasa, John David
通讯作者：
Kabasa, John David