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

Dynamic Network of Interactions in the Wildlife-Livestock Interface in Mediterranean Spain: An Epidemiological Point of View
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DOI:
10.3390/pathogens9020120
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发表时间:
2020-02-01
期刊:
影响因子:
3.7
通讯作者:
Acevedo, Pelayo
Acevedo, Pelayo
中科院分区:
医学3区
文献类型:
--
作者:
Triguero-Ocana, Roxana;Martinez-Lopez, Beatriz;Acevedo, Pelayo

文献摘要

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正确管理野生动物和牲畜之间传播的疾病需要对病原体传播率进行可靠的估计。这一参数的计算对流行病学家来说是一个挑战,因为传播可以通过多种途径发生。社会网络分析是流行病学中广泛使用的工具,因为它能够识别与病原体传播相关的个人和社区。在目前的工作中,我们研究了一个复杂的流行病学场景中的相互作用的动态网络,使用来自不同方法的信息。2015年,在多纳纳国家公园,使用GPS-GSM-Proximity项圈同时监测了9只红鹿、7只休闲鹿、6只野猪和9头牛。此外,在集合点设置了16个近距离记录仪。使用社会网络分析,我们研究了动态网络的相互作用,包括直接和间接的相互作用,不同物种的个体之间的潜在传播的病原体在这个网络。结果表明,物种之间通过间接相互作用的高度连接,具有显着的季节性构象的新的相互作用。在网络中,我们区分了四个社区,其中包括所有物种的个体。关于病原体的传播,我们观察到的重要作用,休闲鹿可以发挥在维护和传播病原体的牲畜。目前的工作表明,需要考虑不同类型的方法,以了解完整的功能网络的互动在野生动物/牲畜接口。它还提供了一种适用于共同疾病管理的方法。
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 Donana 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.