Predicting and controlling infectious disease epidemics using temporal networks

Naoki Masuda*, Petter Holme

*この研究の対応する著者

研究成果: Article査読

115 被引用数 (Scopus)

抄録

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.

本文言語English
論文番号6
ジャーナルF1000Prime Reports
5
DOI
出版ステータスPublished - 2013 3月 4
外部発表はい

ASJC Scopus subject areas

  • 医学(全般)

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