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澳大利亚托雷斯海峡岛屿社区中自由放养的家犬的社交网络。

The social networks of free-roaming domestic dogs in island communities in the Torres Strait, Australia.

机构信息

Sydney School of Veterinary Science, Faculty of Science, The University of Sydney, Camden, NSW, Australia.

Department of Veterinary Population Medicine, University of Minnesota, United States.

出版信息

Prev Vet Med. 2020 Aug;181:104534. doi: 10.1016/j.prevetmed.2018.09.008. Epub 2018 Sep 12.

Abstract

Social structure creates heterogeneity of interactions between individuals, thus influencing infectious disease spread. The objective of this study was to describe and characterise the social structure of free-roaming dog populations in three communities in the Torres Strait, Australia. Dogs in Kubin, Saibai, and Warraber communities were collared with GPS units that recorded locations at 15 s intervals for up to 1 week, and datasets were obtained from 24 (62% of the dog population), 23 (53%) and 21 (51%) dogs in each community, respectively. An association (potential contact) between dogs was defined as proximity within a spatio-temporal window of 5 m for 30 s. Networks were constructed for each dog population: 1. nodes were individual dogs, and 2. edges were weighted according to the duration of spatio-temporal association between pairs of dogs as a proportion of their simultaneous time monitored. Network statistics were calculated for each population and the robustness of networks to the duration of association between pairs of dogs was assessed in terms of efficiency, degree distribution and fragmentation (number of components). Dog social networks had 'small-world' structures, with characteristic clustering and low average shortest-path length between individuals. Overall, all three networks were highly connected in terms of degree distribution and global and local efficiency, but the median tie strength (2-13.5 min) was low. Centrality and the duration of association (tie-strength) between dogs were significantly different between communities. The Kubin network was least robust to fragmentation when ties of short duration were successively removed (14 components with minimum tie strength of 2 h). In contrast, the Warraber dog network was relatively robust with 7 components at minimum tie strength of 2 h as well as high local efficiency within components. We conclude that whilst infectious disease that requires a short duration of contact for transmission is likely to spread rapidly between and within clusters in all three networks in this study, fragmentation of networks - once ties of short duration are removed - is likely to limit spread of disease that requires a longer duration of direct contact. The network information in this study is useful as a foundation for disease spread modelling and to investigate control strategies such as movement restrictions in dog populations.

摘要

社会结构造成了个体间相互作用的异质性,从而影响了传染病的传播。本研究的目的是描述和描述澳大利亚托雷斯海峡三个社区中自由放养狗群的社会结构。库宾、赛拜和沃拉伯社区的狗戴上了 GPS 项圈,以 15 秒的间隔记录位置,最长可达 1 周,每个社区分别获得了 24 只(狗群的 62%)、23 只(53%)和 21 只(51%)狗的数据。狗之间的关联(潜在接触)被定义为在 5 米的时空窗口内近距离接触 30 秒。为每个狗群构建了网络:1. 节点是个体狗,2. 边的权重根据狗对之间时空关联的持续时间与其同时监测时间的比例来确定。计算了每个群体的网络统计数据,并根据对狗对之间关联持续时间的稳健性来评估网络的效率、度分布和碎片化(组件数量)。狗的社交网络具有“小世界”结构,具有特征聚类和个体之间的低平均最短路径长度。总的来说,从度分布和全局和局部效率来看,这三个网络都是高度连接的,但中位数联系强度(2-13.5 分钟)较低。社区之间狗的中心性和联系强度(联系强度)存在显著差异。当连续去除短持续时间的联系时,库宾网络对碎片化的稳健性最低(14 个组件,最小联系强度为 2 小时)。相比之下,沃拉伯狗网络相对稳健,在最小联系强度为 2 小时的情况下有 7 个组件,以及组件内的高局部效率。我们得出的结论是,尽管需要短暂接触才能传播的传染病很可能在本研究中的所有三个网络中在群内和群间迅速传播,但一旦去除短持续时间的联系,网络的碎片化可能会限制需要更长直接接触时间的疾病传播。本研究中的网络信息可用作疾病传播建模的基础,并研究控制策略,如限制狗群的移动。

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