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具有延迟接触追踪功能的随机流行病模型。

Stochastic epidemic models featuring contact tracing with delays.

作者信息

Ball Frank G, Knock Edward S, O'Neill Philip D

机构信息

School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK.

出版信息

Math Biosci. 2015 Aug;266:23-35. doi: 10.1016/j.mbs.2015.05.007. Epub 2015 May 30.

Abstract

This paper is concerned with a stochastic model for the spread of an SEIR (susceptible → exposed (=latent) → infective → removed) epidemic with a contact tracing scheme, in which removed individuals may name some of their infectious contacts, who are then removed if they have not been already after some tracing delay. The epidemic is analysed via an approximating, modified birth-death process, for which a type-reproduction number is derived in terms of unnamed individuals, that is shown to be infinite when the contact rate is sufficiently large. We obtain explicit results under the assumption of either constant or exponentially distributed infectious periods, including the epidemic extinction probability in the former case. Numerical illustrations show that, while the distributions of latent periods and delays have an effect on the spread of the epidemic, the assumption of whether the delays experienced by individuals infected by the same individual are of the same or independent length makes little difference.

摘要

本文关注的是一个带有接触者追踪方案的SEIR(易感者→潜伏者(=隐性感染者)→感染者→移除者)传染病传播的随机模型。在该模型中,被移除的个体可以说出一些与其有过接触的感染者的名字,这些被说出名字的感染者如果在经过一定追踪延迟后还未被移除,那么他们也会被移除。通过一个近似的、修正的生灭过程对该传染病进行分析,据此得出了一个基于未被说出名字个体的类型繁殖数,结果表明当接触率足够大时该繁殖数是无穷大的。在感染期为常数分布或指数分布这两种假设下,我们得到了明确的结果,包括在前一种情况下的传染病灭绝概率。数值示例表明,虽然潜伏期和延迟的分布会对传染病的传播产生影响,但对于被同一个个体感染的个体所经历的延迟是相同长度还是独立长度这一假设,其影响不大。

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