a Department of Mathematical Sciences, Shimane University , Matsue , Japan.
b Division of Bioinformatics, Research Center for Zoonosis Control, Hokkaido University , Sapporo , Japan.
J Biol Dyn. 2019 Dec;13(1):567-585. doi: 10.1080/17513758.2019.1643043.
In this paper, we consider the impact of heterogeneous susceptibility on disease transmission dynamics, using a simple mathematical model formulated by a system of ordinary differential equations. Our model describes a time-varying immunity level, which is enhanced by reinfection and diminished by waning immunity. Through mathematical analysis, we show that unexpected outbreaks, called delayed outbreaks, occur even when the basic reproduction number is less than one. A reallocation of susceptibility at the individual level, by repeated infections, in the host population induces delayed outbreaks.
在本文中,我们使用由常微分方程系统构成的简单数学模型来研究易感性异质性对疾病传播动力学的影响。我们的模型描述了一个随时间变化的免疫水平,它通过再感染得到增强,通过免疫力衰减而降低。通过数学分析,我们表明即使基本再生数小于 1,也会出现称为延迟爆发的意外爆发。通过在宿主群体中重复感染,在个体水平上重新分配易感性会导致延迟爆发。