Predicting and controlling infectious disease epidemics using temporal networks.
Predicting and controlling infectious disease epidemics using temporal networks.
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DOI：
10.12703/p5-6
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Holme P
中科院分区：
文献类型：
--
作者：
Masuda N;Holme P
传染病可以被认为是通过人或动物的社交网络传播的。主要由于数据记录和分析技术的发展，在过去十年中收集了越来越多的带有时间戳的社会联系数据。这种时间数据捕捉了与流行病传播相关的时间尺度上的社交网络的动态，并可能导致更好的分析、预测和预防流行病的方法。然而，他们也呼吁网络流行病学的扩展分析工具，迄今为止，大多数网络视为静态实体。我们回顾了最近的网络流行病学的结果，这样的时间网络数据，并讨论未来的发展。
Infectious diseases can be considered to spread over social networks of people or animals. Mainly owing to the development of data recording and analysis techniques, an increasing amount of social contact data with time stamps has been collected in the last decade. Such temporal data capture the dynamics of social networks on a timescale relevant to epidemic spreading and can potentially lead to better ways to analyze, forecast, and prevent epidemics. However, they also call for extended analysis tools for network epidemiology, which has, to date, mostly viewed networks as static entities. We review recent results of network epidemiology for such temporal network data and discuss future developments.