Epidemic percolation networks, epidemic outcomes, and interventions.
Epidemic percolation networks, epidemic outcomes, and interventions.
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DOI：
10.1155/2011/543520
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发表时间：
2011
影响因子：
--
通讯作者：
Miller JC
中科院分区：
文献类型：
--
作者：
Kenah E;Miller JC
流行病渗透网络（epn）是一种定向随机网络，可用于分析随机的“易感-感染-去除”（SIR）和“易感-暴露-感染-去除”（SEIR）流行病模型，统一和推广了以前使用的网络和分支过程来分析质量作用和基于网络的S(E)IR模型。本文解释了EPNs的定义和使用背后的基本概念，并利用它们建立关于流行病最终结果的直觉。然后，我们展示epn如何为疫苗接种策略的设计提供新颖而有用的视角。
Epidemic percolation networks (EPNs) are directed random networks that can be used to analyze stochastic “Susceptible-Infectious-Removed” (SIR) and “Susceptible-Exposed-Infectious-Removed” (SEIR) epidemic models, unifying and generalizing previous uses of networks and branching processes to analyze mass-action and network-based S(E)IR models. This paper explains the fundamental concepts underlying the definition and use of EPNs, using them to build intuition about the final outcomes of epidemics. We then show how EPNs provide a novel and useful perspective on the design of vaccination strategies.