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具有改变易感性的同时感染的动态变化。

The dynamics of simultaneous infections with altered susceptibilities.

作者信息

Adler F R, Brunet R C

机构信息

Center for Applied Mathematics, Cornell University, Ithaca, New York 14853.

出版信息

Theor Popul Biol. 1991 Dec;40(3):369-410. doi: 10.1016/0040-5809(91)90061-j.

Abstract

We describe a model in which individuals can be infected simultaneously by multiple diseases or parasites, taking into account the fact that individuals already infected by a subset of n co-circulating diseases may see their susceptibility to concurrent infection by another disease from the pool either enhanced or reduced. We propose an n-dimensional approximation to the 2n dimensional model required to describe the dynamics of each possible subset of the pool of n co-circulating diseases, using as state variables the overall prevalence of each infection. Analysis of the two disease case shows that the reduced model provides a very good approximation throughout the full dynamics for small alterations of susceptibility, and, after a transient error, a good approximation to the complete model when susceptibilities are highly enhanced. As the number of diseases becomes large, the approximation remains close for small alterations of susceptibility.

摘要

我们描述了一个模型,其中个体可同时感染多种疾病或寄生虫,同时考虑到已感染n种共同传播疾病中一部分疾病的个体,可能会发现其对来自该集合中另一种疾病并发感染的易感性增强或降低。我们针对描述n种共同传播疾病集合中每个可能子集动态所需的2n维模型提出了一种n维近似,将每种感染的总体流行率用作状态变量。对两种疾病情况的分析表明,对于易感性的微小变化,简化模型在整个完整动态过程中提供了非常好的近似,并且在经过短暂误差后,当易感性大幅增强时,能很好地近似完整模型。随着疾病数量增多,对于易感性的微小变化,该近似仍然接近。

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