现代流行病的入侵进化分析凸显了病毒进化的环境依赖性。

IF 2 4区 数学 Q2 BIOLOGY
Sudam Surasinghe, Ketty Kabengele, Paul E Turner, C Brandon Ogbunugafor
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引用次数: 0

摘要

我们经常使用模型来整合跨尺度的流行病知识并模拟疾病动态。虽然这些方法在研究流行病的基本机制方面发挥了核心作用,但我们还缺乏可靠的方法来预测在某些病毒-宿主环境下,毒力(感染对宿主造成的伤害)与传播之间的关系将如何演变。在本研究中,我们采用了进化入侵分析--一种用于识别动态系统中不可入侵策略的进化的方法--来研究病毒感染模型中的毒力-传播二分法在不同自然历史条件下的进化情况。我们揭示了具有不同疾病自然史的流行病(SARS-CoV-2 和丙型肝炎病毒)之间独特的毒力演化模式。我们讨论了这些发现对预测病毒进化的公共卫生影响,以及涉及宿主-寄生虫系统中毒力进化的更广泛理论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evolutionary Invasion Analysis of Modern Epidemics Highlights the Context-Dependence of Virulence Evolution.

Evolutionary Invasion Analysis of Modern Epidemics Highlights the Context-Dependence of Virulence Evolution.

Models are often employed to integrate knowledge about epidemics across scales and simulate disease dynamics. While these approaches have played a central role in studying the mechanics underlying epidemics, we lack ways to reliably predict how the relationship between virulence (the harm to hosts caused by an infection) and transmission will evolve in certain virus-host contexts. In this study, we invoke evolutionary invasion analysis-a method used to identify the evolution of uninvadable strategies in dynamical systems-to examine how the virulence-transmission dichotomy can evolve in models of virus infections defined by different natural histories. We reveal peculiar patterns of virulence evolution between epidemics with different disease natural histories (SARS-CoV-2 and hepatitis C virus). We discuss the findings with regards to the public health implications of predicting virus evolution, and in broader theoretical canon involving virulence evolution in host-parasite systems.

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来源期刊
CiteScore
3.90
自引率
8.60%
发文量
123
审稿时长
7.5 months
期刊介绍: The Bulletin of Mathematical Biology, the official journal of the Society for Mathematical Biology, disseminates original research findings and other information relevant to the interface of biology and the mathematical sciences. Contributions should have relevance to both fields. In order to accommodate the broad scope of new developments, the journal accepts a variety of contributions, including: Original research articles focused on new biological insights gained with the help of tools from the mathematical sciences or new mathematical tools and methods with demonstrated applicability to biological investigations Research in mathematical biology education Reviews Commentaries Perspectives, and contributions that discuss issues important to the profession All contributions are peer-reviewed.
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