A high-resolution human contact network for infectious disease transmission
A high-resolution human contact network for infectious disease transmission
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DOI：
10.1073/pnas.1009094108
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发表时间：
2010-12-21
影响因子：
11.1
通讯作者：
Jones, James H.
中科院分区：
文献类型：
--
作者：
Salathe, Marcel;Kazandjieva, Maria;Jones, James H.
人类中最常见的传染病--以及那些最有可能迅速传播大流行的传染病--通常是通过近距离相互作用期间的飞沫传播的。尽管这种传播途径很重要，但人们对消费物价指数的动态模式知之甚少。利用无线传感器网络技术，我们获得了美国一所高中典型一天的高分辨率消费物价指数数据，从而重建了与传染病传播相关的社会网络。在94%的覆盖率下，我们在788个个体的最大距离3米处收集了762,868个消费物价指数。数据显示了一个高密度的网络，具有典型的小世界特性，并且在受试者之间的交互时间和交互伙伴的分布相对均匀。在加权接触图上对流感样疾病传播的计算机模拟与最近流感季节的缺席数据非常一致。对目标免疫策略的分析表明，需要接触网络数据来设计明显比随机免疫更有效的策略。基于接触网络数据的免疫策略在疫苗接种率高的情况下最有效。
The most frequent infectious diseases in humans-and those with the highest potential for rapid pandemic spread-are usually transmitted via droplets during close proximity interactions (CPIs). Despite the importance of this transmission route, very little is known about the dynamic patterns of CPIs. Using wireless sensor network technology, we obtained high-resolution data of CPIs during a typical day at an American high school, permitting the reconstruction of the social network relevant for infectious disease transmission. At 94% coverage, we collected 762,868 CPIs at a maximal distance of 3 m among 788 individuals. The data revealed a high-density network with typical small-world properties and a relatively homogeneous distribution of both interaction time and interaction partners among subjects. Computer simulations of the spread of an influenza-like disease on the weighted contact graph are in good agreement with absentee data during the most recent influenza season. Analysis of targeted immunization strategies suggested that contact network data are required to design strategies that are significantly more effective than random immunization. Immunization strategies based on contact network data were most effective at high vaccination coverage.