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带免疫衰退和免疫增强期变化的 SIRWS 模型动力学。

Dynamics of an SIRWS model with waning of immunity and varying immune boosting period.

机构信息

Bolyai Institute, University of Szeged, Szeged, Hungary.

出版信息

J Biol Dyn. 2022 Dec;16(1):596-618. doi: 10.1080/17513758.2022.2109766.

Abstract

SIRS models capture transmission dynamics of infectious diseases for which immunity is not lifelong. Extending these models by a compartment for individuals with waning immunity, the boosting of the immune system upon repeated exposure may be incorporated. Previous analyses assumed identical waning rates from to and from to . This implicitly assumes equal length for the period of full immunity and of waned immunity. We relax this restriction, and allow an asymmetric partitioning of the total immune period. Stability switches of the endemic equilibrium are investigated with a combination of analytic and numerical tools. Then, continuation methods are applied to track bifurcations along the equilibrium branch. We find rich dynamics: Hopf bifurcations, endemic double bubbles, and regions of bistability. Our results highlight that the length of the period in which waning immunity can be boosted is a crucial parameter significantly influencing long term epidemiological dynamics.

摘要

SIRS 模型可捕捉到免疫非终身性传染病的传播动态。通过在模型中增加一个免疫逐渐减弱人群的 compartment,可将免疫系统在重复暴露下增强的情况纳入其中。先前的分析假设从 到 和从 到 的免疫衰减率相同。这隐含地假设完全免疫和免疫减弱的时间段长度相同。我们放宽了这一限制,并允许对总免疫期进行非对称划分。我们使用分析和数值工具的组合来研究地方病平衡点的稳定性转换。然后,应用延拓方法沿着平衡分支跟踪分岔。我们发现了丰富的动力学:Hopf 分岔、地方病双泡和双稳区域。我们的结果表明,可增强免疫衰减的时间段长度是一个关键参数,它会显著影响长期的流行病学动态。

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