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突变体出现时间和群体免疫状态影响流行病学动态。

Mutant emergence timing and population immunisation status impact epidemiological dynamics.

作者信息

Reyné Bastien, Djidjou-Demasse Ramsès, Sofonea Mircea T, Alizon Samuel

机构信息

MIVEGEC, Univ. Montpellier, IRD, CNRS, Montpellier, France; Univ. Bordeaux, INSERM, INRIA, BPH, U1219, Bordeaux, F-33000, France.

MIVEGEC, Univ. Montpellier, IRD, CNRS, Montpellier, France; École Polytechnique de Thiès, Thiès, Sénégal.

出版信息

J Theor Biol. 2025 Jul 7;608:112140. doi: 10.1016/j.jtbi.2025.112140. Epub 2025 May 15.

DOI:10.1016/j.jtbi.2025.112140
PMID:40348170
Abstract

A key question in evolutionary epidemiology is to determine differences in the conditions that may allow some mutant strains to spread in a population where a resident strain is already circulating. Evolutionary invasion analyses assume that the immunity is long-lasting for previously infected individuals making it difficult to study traits such as immune escape. We relax this last assumption and allow the environment faced by the mutant to fluctuate outside of any epidemiological equilibrium. We introduce an original two-strains non-Markovian model that accounts for realistic immunity waning and cross-immunity, inspired by the case of SARS-CoV-2 variants. We show that mutants with increased contagiousness or with some immune escape abilities are more likely to invade the population. We also show that the timing of the introduction of mutant strain in the population is key because it is associated with the population's immunisation status. Our results underline the importance of immune waning and non-equilibrium dynamics on infectious disease evolution.

摘要

进化流行病学中的一个关键问题是确定在已有常驻菌株传播的人群中,某些突变菌株得以传播的条件差异。进化入侵分析假定,先前感染个体的免疫力是持久的,这使得研究免疫逃逸等性状变得困难。我们放宽了这一假设,允许突变体所面临的环境在任何流行病学平衡之外波动。我们引入了一个原创的两菌株非马尔可夫模型,该模型考虑了现实的免疫衰退和交叉免疫,其灵感来自于SARS-CoV-2变体的情况。我们表明,具有更高传染性或某些免疫逃逸能力的突变体更有可能入侵人群。我们还表明,突变菌株在人群中引入的时间很关键,因为它与人群的免疫状态相关。我们的结果强调了免疫衰退和非平衡动态在传染病进化中的重要性。

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