Comparing transmission potential networks based on social network surveys, close contacts and environmental overlap in rural Madagascar.
Comparing transmission potential networks based on social network surveys, close contacts and environmental overlap in rural Madagascar.
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比较基于社会网络调查、密切接触者和马达加斯加农村环境重叠的潜在传播网络。
DOI：
10.1098/rsif.2021.0690
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发表时间：
2022-01
期刊：
影响因子：
--
通讯作者：
Nunn C
中科院分区：
文献类型：
--
作者：
Kauffman K;Werner CS;Titcomb G;Pender M;Rabezara JY;Herrera JP;Shapiro JT;Solis A;Soarimalala V;Tortosa P;Kramer R;Moody J;Mucha PJ;Nunn C
社会和空间网络分析是研究传染病传播的重要方法，特别是对于在个体之间直接传播或通过环境储存库传播的病原体。然而，鉴于构建网络的方式多种多样，目前尚不清楚由不同数据类型构建的网络如何有效地捕获传输潜力。我们使用马达加斯加农村人口的经验网络来比较同一个人的社交网络调查和基于空间数据的网络。利用空间数据对密切接触和环境病原体传播途径进行了建模。我们发现，在调查期间命名社会伙伴可以预测更高的密切接触率以及基于空间数据的网络上环境重叠的比例。空间网络捕获了许多仅使用社交网络调查所遗漏的强连接和弱连接。在整个网络中，我们发现中心性指标（超级传播潜力的代表）之间的相关性较弱。我们的结论是，社交网络调查为理解疾病传播途径提供了重要的支架，但忽略了空间数据揭示的特定接触的异质性。我们的分析还强调，个人的超级传播潜力可能因传播模式而异。我们提供了在并非所有个体同时佩戴 GPS 追踪器时构建近距离接触传播病原体网络的详细方法。
Social and spatial network analysis is an important approach for investigating infectious disease transmission, especially for pathogens transmitted directly between individuals or via environmental reservoirs. Given the diversity of ways to construct networks, however, it remains unclear how well networks constructed from different data types effectively capture transmission potential. We used empirical networks from a population in rural Madagascar to compare social network survey and spatial data-based networks of the same individuals. Close contact and environmental pathogen transmission pathways were modelled with the spatial data. We found that naming social partners during the surveys predicted higher close-contact rates and the proportion of environmental overlap on the spatial data-based networks. The spatial networks captured many strong and weak connections that were missed using social network surveys alone. Across networks, we found weak correlations among centrality measures (a proxy for superspreading potential). We conclude that social network surveys provide important scaffolding for understanding disease transmission pathways but miss contact-specific heterogeneities revealed by spatial data. Our analyses also highlight that the superspreading potential of individuals may vary across transmission modes. We provide detailed methods to construct networks for close-contact transmission pathogens when not all individuals simultaneously wear GPS trackers.
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影响因子：
1
作者：
Brandes, U
通讯作者：
Brandes, U
DOI：
10.1080/00045608.2012.671129
发表时间：
2012
期刊：
Annals of the Association of American Geographers. Association of American Geographers
影响因子：
--
作者：
Emch M;Root ED;Giebultowicz S;Ali M;Perez-Heydrich C;Yunus M
通讯作者：
Yunus M
影响因子：
4.4
作者：
BONACICH, P
通讯作者：
BONACICH, P
影响因子：
4.6
作者：
Gómez JM;Verdú M
通讯作者：
Verdú M
影响因子：
3.8
作者：
Guillebaud J;Bernardson B;Randriambolamanantsoa TH;Randrianasolo L;Randriamampionona JL;Marino CA;Rasolofo V;Randrianarivelojosia M;Vigan-Womas I;Stivaktas V;Venter M;Piola P;Héraud JM
通讯作者：
Héraud JM