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Illustration of Different Disease Transmission Routes in a Pig Trade Network by Monopartite and Bipartite Representation

机译:单方和双方表示法图解猪贸易网络中不同疾病的传播途径

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摘要

Besides direct animal movements between farms; indirect transmission routes of pathogens can have an immense impact on network structure and disease spread in animal trade networks. This study integrated these indirect transmission routes between farms via transport companies or feed supply as bipartite networks; which were compared to the monopartite animal movements network representing the direct transmission route. Both bipartite networks were projected on farm level to enable a comparison to the monopartite network. The number of edges increased immensely from the monopartite animal movements network to both projected networks. Thus, farms can be highly connected over indirect connections, although they are not directly trading animals. The ranking of the animals according to their centrality parameters, indicating their importance for the network, showed moderate correlations only between the animal movements and the transportation network. The epidemiological models based on the different network representations revealed significantly more infected farms for the networks including indirect transmission routes compared to the direct animal movements. Indirect transmission routes had an immense impact on the outcome of centrality parameters, as well as on the spreading process within the network. This knowledge is needed to understand disease spread and to establish reliable prevention and control measurements.
机译:除了农场之间的直接动物活动外;病原体的间接传播途径会对动物贸易网络的网络结构和疾病传播产生巨大影响。这项研究将农场之间通过运输公司或饲料供应作为间接网络的间接传播途径进行了整合;将它们与代表直接传播路径的单部分动物运动网络进行比较。这两个双向网络都在服务器场级别上进行了投影,以便能够与双向网络进行比较。从整体动物运动网络到两个投影网络,边的数量都大大增加。因此,尽管农场不直接交易动物,但它们可以通过间接联系紧密相连。根据动物的中心性参数对动物进行排名,表明它们对网络的重要性,仅显示了动物运动与运输网络之间的适度相关性。基于不同网络表示形式的流行病学模型显示,与直接动物运动相比,包含间接传播途径的网络感染农场明显更多。间接传输路径对中心参数的结果以及网络内的传播过程具有巨大影响。需要了解这些知识以了解疾病的传播并建立可靠的预防和控制措施。

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