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基于年龄结构流行病模型的宿主免疫与寄生虫毒力的协同进化动力学

Coevolutionary Dynamics of Host Immune and Parasite Virulence Based on an Age-Structured Epidemic Model.

作者信息

Duan Xi-Chao, Zhao Jiangyue, Martcheva Maia

机构信息

College of Science, University of Shanghai for Science and Technology, Shanghai, 200093, China.

Department of Mathematics, University of Florida, 358 Little Hall, PO Box 118105, Gainesville, FL, 32611-8105, USA.

出版信息

Bull Math Biol. 2023 Feb 28;85(4):28. doi: 10.1007/s11538-023-01131-w.

Abstract

Hosts can activate a defensive response to clear the parasite once being infected. To explore how host survival and fecundity are affected by host-parasite coevolution for chronic parasitic diseases, in this paper, we proposed an age-structured epidemic model with infection age, in which the parasite transmission rate and parasite-induced mortality rate are structured by the infection age. By use of critical function analysis method, we obtained the existence of the host immune evolutionary singular strategy which is a continuous singular strategy (CSS). Assume that parasite-induced mortality begins at infection age [Formula: see text] and is constant v thereafter. We got that the value of the CSS, [Formula: see text], monotonically decreases with respect to infection age [Formula: see text] (see Case (I)), while it is non-monotone if the constant v positively depends on the immune trait c (see Case (II)). This non-monotonicity is verified by numerical simulations and implies that the direction of immune evolution depends on the initial value of immune trait. Besides that, we adopted two special forms of the parasite transmission rate to study the parasite's virulence evolution, by maximizing the basic reproduction ratio [Formula: see text]. The values of the convergence stable parasite's virulence evolutionary singular strategies [Formula: see text] and [Formula: see text] increase monotonically with respect to time lag L (i.e., the time lag between the onset of transmission and mortality). At the singular strategy [Formula: see text] and [Formula: see text], we further obtained the expressions of the case mortalities [Formula: see text] and how they are affected by the time lag L. Finally, we only presented some preliminary results about host and parasite coevolution dynamics, including a general condition under which the coevolutionary singular strategy [Formula: see text] is evolutionarily stable.

摘要

宿主一旦被感染,就可以激活防御反应以清除寄生虫。为了探究宿主 - 寄生虫共同进化如何影响慢性寄生虫病中宿主的生存和繁殖力,在本文中,我们提出了一个具有感染年龄的年龄结构流行病模型,其中寄生虫传播率和寄生虫诱导死亡率由感染年龄构成。通过使用临界函数分析方法,我们得到了宿主免疫进化奇异策略的存在性,它是一种连续奇异策略(CSS)。假设寄生虫诱导死亡率从感染年龄[公式:见正文]开始,此后为常数v。我们发现CSS的值[公式:见正文]关于感染年龄[公式:见正文]单调递减(见情况(I)),而如果常数v正依赖于免疫特征c,则它是非单调的(见情况(II))。这种非单调性通过数值模拟得到验证,这意味着免疫进化的方向取决于免疫特征的初始值。除此之外,我们采用寄生虫传播率的两种特殊形式来研究寄生虫的毒力进化,通过最大化基本再生数[公式:见正文]。收敛稳定的寄生虫毒力进化奇异策略[公式:见正文]和[公式:见正文]的值关于时间滞后L(即传播开始和死亡之间的时间滞后)单调增加。在奇异策略[公式:见正文]和[公式:见正文]处,我们进一步得到了病例死亡率[公式:见正文]的表达式以及它们如何受时间滞后L的影响。最后,我们仅给出了关于宿主和寄生虫共同进化动力学的一些初步结果,包括共同进化奇异策略[公式:见正文]在进化上稳定的一般条件。

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