The contact process with an asymptomatic state

IF 1.1 2区 数学 Q3 STATISTICS & PROBABILITY Stochastic Processes and their Applications Pub Date : 2024-06-27 DOI:10.1016/j.spa.2024.104417
Lamia Belhadji , Nicolas Lanchier , Max Mercer
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Abstract

In order to understand the cost of a potentially high infectiousness of symptomatic individuals or, on the contrary, the benefit of social distancing, quarantine, etc. in the course of an infectious disease, this paper considers a natural variant of the popular contact process that distinguishes between asymptomatic and symptomatic individuals. Infected individuals all recover at rate one but infect nearby individuals at a rate that depends on whether they show the symptoms of the disease or not. Newly infected individuals are always asymptomatic and may or may not show the symptoms before they recover. The analysis of the corresponding mean-field model reveals that, in the absence of local interactions, regardless of the rate at which asymptomatic individuals become symptomatic, there is an epidemic whenever at least one of the infection rates is sufficiently large. In contrast, our analysis of the interacting particle system shows that, when the rate at which asymptomatic individuals become symptomatic is small and the asymptomatic individuals are not infectious, there cannot be an epidemic even when the symptomatic individuals are highly infectious.

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与无症状状态的接触过程
为了理解在传染病传播过程中,无症状个体潜在的高传染性所带来的代价,或者相反,社会隔离、检疫等所带来的益处,本文考虑了区分无症状和有症状个体的流行接触过程的自然变体。受感染的个体都会以第一速率恢复,但感染附近个体的速率取决于他们是否表现出疾病症状。新感染的个体总是无症状的,在康复之前可能会也可能不会出现症状。对相应均值场模型的分析表明,在没有局部相互作用的情况下,无论无症状个体的症状发生率如何,只要至少有一种感染率足够大,就会出现流行病。与此相反,我们对相互作用粒子系统的分析表明,当无症状个体出现症状的比率较小,且无症状个体不具有传染性时,即使有症状个体具有高度传染性,也不会出现流行病。
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来源期刊
Stochastic Processes and their Applications
Stochastic Processes and their Applications 数学-统计学与概率论
CiteScore
2.90
自引率
7.10%
发文量
180
审稿时长
23.6 weeks
期刊介绍: Stochastic Processes and their Applications publishes papers on the theory and applications of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests. Characterization, structural properties, inference and control of stochastic processes are covered. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. All papers are refereed.
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