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具有非线性传染压力的传染病模型的建模与推断。

Modelling and inference for epidemic models featuring non-linear infection pressure.

机构信息

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

出版信息

Math Biosci. 2012 Jul;238(1):38-48. doi: 10.1016/j.mbs.2012.03.007. Epub 2012 Apr 3.

Abstract

We consider a Susceptible-Infective-Removed (SIR) stochastic epidemic model in which the infection rate is of the form βN⁻¹X(t)Y(t)(α). It is demonstrated that both the threshold behaviour of this model and the behaviour of the corresponding deterministic model differ markedly from the standard SIR model (i.e. α=1). Methods of statistical inference for this model are described, given outbreak data, and the extent to which all three model parameters can be estimated is considered.

摘要

我们考虑了一个 Susceptible-Infective-Removed(SIR)随机传染病模型,其中感染率的形式为βN⁻¹X(t)Y(t)(α)。结果表明,该模型的阈值行为和相应的确定性模型的行为与标准 SIR 模型(即α=1)明显不同。本文描述了在爆发数据的情况下,对该模型进行统计推断的方法,并考虑了估计所有三个模型参数的程度。

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