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Dynamic Network of Interactions in the Wildlife-Livestock Interface in Mediterranean Spain: An Epidemiological Point of View

机译:西班牙地中海野生动物与牲畜互动中的互动动态网络:流行病学的观点

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摘要

The correct management of diseases that are transmitted between wildlife and livestock requires a reliable estimate of the pathogen transmission rate. The calculation of this parameter is a challenge for epidemiologists, since transmission can occur through multiple pathways. The social network analysis is a widely used tool in epidemiology due to its capacity to identify individuals and communities with relevant roles for pathogen transmission. In the present work, we studied the dynamic network of interactions in a complex epidemiological scenario using information from different methodologies. In 2015, nine red deer, seven fallow deer, six wild boar and nine cattle were simultaneously monitored using GPS-GSM-Proximity collars in Doñana National Park. In addition, 16 proximity loggers were set in aggregation points. Using the social network analysis, we studied the dynamic network of interactions, including direct and indirect interactions, between individuals of different species and the potential transmission of pathogens within this network. The results show a high connection between species through indirect interactions, with a marked seasonality in the conformation of new interactions. Within the network, we differentiated four communities that included individuals of all the species. Regarding the transmission of pathogens, we observed the important role that fallow deer could be playing in the maintenance and transmission of pathogens to livestock. The present work shows the need to consider different types of methodologies in order to understand the complete functioning of the network of interactions at the wildlife/livestock interface. It also provides a methodological approach applicable to the management of shared diseases.
机译:正确管理野生动植物之间传播的疾病需要对病原体传播速率进行可靠的估计。由于传播可以通过多种途径发生,因此该参数的计算对于流行病学家是一个挑战。社交网络分析是流行病学中一种被广泛使用的工具,因为它能够识别在病原体传播中具有重要作用的个人和社区。在当前的工作中,我们使用来自不同方法的信息研究了在复杂的流行病学情况下的相互作用的动态网络。 2015年,在多纳纳国家公园使用GPS-GSM-Proximity项圈同时监测了9头马鹿,7头小鹿,6头野猪和9头牛。另外,在集合点设置了16个接近记录器。使用社交网络分析,我们研究了不同物种之间的相互作用的动态网络,包括直接和间接相互作用以及该网络内病原体的潜在传播。结果表明,物种之间通过间接相互作用具有高度联系,新相互作用的构型具有明显的季节性。在网络中,我们区分了包括所有物种的个体在内的四个社区。关于病原体的传播,我们观察到小鹿可能在病原体的维持和传播到牲畜中发挥重要作用。当前的工作表明需要考虑不同类型的方法,以便了解野生动植物/牲畜界面处相互作用网络的完整功能。它还提供了适用于共享疾病管理的方法论方法。

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