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The Distribution of Bovine Tuberculosis in Cattle Farms Is Linked to Cattle Trade and Badger-Mediated Contact Networks in South-Western France, 2007–2015

机译:2007-2015年法国西南部牛场的牛结核病分布与牛贸易和Bad介导的联系网络有关

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Bovine tuberculosis (bTB), mainly caused by Mycobacterium bovis, can affect domestic and wild animals as well as humans. Identifying the major transmission mechanisms in an area is necessary for disease control and management. In this study, we aimed to evaluate the involvement of different types of contact in M. bovis transmission between cattle farms of south-western France between 2007 and 2015. We analyzed an empirical contact network of cattle farms as nodes, with known infection status and molecular types (16 circulated during the study period of which 14 affected only cattle and two both badgers and cattle). Edges were based on cattle trade data (T-edges) and on spatial neighborhood relationships between farms, either direct (P-edges) or badger-mediated, when two farms neighbored the same badger home range (B-edges), or two distinct but neighboring badger home ranges (D-edges). Edge types were aggregated so that the contact network contained only unique edges labeled by one or several edge types. The association between the contact network structure and bTB infection status was assessed using a non-parametric test, each molecular type being considered a marker of an independent epidemic. Using a logistic regression model, we estimated the contribution of each edge type to the probability for an edge originating from an infected farm to end at another infected farm. A total number of 1946 cattle farms were included in the study and were linked by 54243 edges. Within this contact network, infected farms (whatever the molecular type) always belonged to the same component, suggesting the contact network may have supported bTB spread among those farms. A significant association between the pattern of bTB-infected farms and the structure of the contact network was observed when all the molecular types were simultaneously considered. The logistic regression model showed a significant association between M. bovis infection in direct neighbors of infected farms and the connection by T-, B- and D-edges, with odds-ratios of 7.4, 1.9 and 10.4, respectively. These results indicate a multifactorial M. bovis transmission between farms of the studied area, with varying implication levels of the trade, pasture and badger networks according to the molecular type.
机译:牛结核病(bTB)主要由牛分枝杆菌引起,可影响家畜,野生动物以及人类。确定区域的主要传播机制对于疾病的控制和管理是必要的。在这项研究中,我们旨在评估2007年至2015年法国西南部养牛场之间牛分枝杆菌传播中不同接触类型的参与。我们分析了一个以经验为基础,以节点为单位的养牛场经验联系网络作为节点。分子类型(在研究期间流传了16种,其中14种仅影响牛,而两种影响rs和牛)。边缘是基于牛的贸易数据(T-edges)和农场之间的空间邻里关系(直接农场(P-edges)或badge介导的,当两个农场与同一badge家范围(B-edges)相邻或两个不同但邻近的r家庭范围(D边缘)。汇总了边类型,以便接触网络仅包含以一种或几种边类型标记的唯一边。接触网络结构与bTB感染状态之间的关联使用非参数测试进行评估,每种分子类型均被视为独立流行病的标志。使用logistic回归模型,我们估计了每种边类型对某边的可能性的影响,该可能性来自受感染的农场到另一受感染的农场。该研究总共包括了1946个养牛场,并与54243条边线相连。在此联系网络中,受感染的农场(无论分子类型如何)始终属于同一组件,这表明联系网络可能支持了bTB在这些农场之间的传播。当同时考虑所有分子类型时,观察到bTB感染的农场的模式和接触网络的结构之间的显着关联。 Logistic回归模型显示,被感染农场的直接邻居中的牛分枝杆菌感染与T边,B​​边和D边之间的联系之间具有显着关联,比值比分别为7.4、1.9和10.4。这些结果表明,在研究区域的农场之间存在牛多发性疟原虫的多因素传播,根据分子类型,贸易,牧场和im网络的影响水平各不相同。

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