Networks and the epidemiology of infectious disease.
Networks and the epidemiology of infectious disease.
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DOI：
10.1155/2011/284909
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发表时间：
2011
影响因子：
--
通讯作者：
Vernon MC
中科院分区：
文献类型：
--
作者：
Danon L;Ford AP;House T;Jewell CP;Keeling MJ;Roberts GO;Ross JV;Vernon MC
网络科学已经彻底改变了对相互作用元素的动力学的研究。可以说，流行病学比其他任何学科都更能体现网络理论的潜力。在这里，我们回顾了越来越多的关于网络上传染病传播的研究，重点是网络理论和流行病学之间的相互作用。审查分为四个主要部分，其中检查：网络的类型相关的流行病学;这些网络的多种方式可以被描述;统计方法，可以应用于推断一个实现的网络上的流行病学参数;最后模拟和分析方法，以确定在一个给定的网络上的流行病动态。鉴于所涉领域的广泛性和出版物数量的不断增加，不可能对所有工作进行全面审查。相反，我们对近年来取得最大进展或最有潜力提供新见解的网络流行病学领域进行了个性化概述。因此，相当重视分析方法和统计方法，这两个领域都在迅速扩大。在整个审查过程中，我们只关注流行病学问题。
The science of networks has revolutionised research into the dynamics of interacting elements. It could be argued that epidemiology in particular has embraced the potential of network theory more than any other discipline. Here we review the growing body of research concerning the spread of infectious diseases on networks, focusing on the interplay between network theory and epidemiology. The review is split into four main sections, which examine: the types of network relevant to epidemiology; the multitude of ways these networks can be characterised; the statistical methods that can be applied to infer the epidemiological parameters on a realised network; and finally simulation and analytical methods to determine epidemic dynamics on a given network. Given the breadth of areas covered and the ever-expanding number of publications, a comprehensive review of all work is impossible. Instead, we provide a personalised overview into the areas of network epidemiology that have seen the greatest progress in recent years or have the greatest potential to provide novel insights. As such, considerable importance is placed on analytical approaches and statistical methods which are both rapidly expanding fields. Throughout this review we restrict our attention to epidemiological issues.