流行病传播动力学退化偏微分方程模型解的定性分析

Roman Taranets, Nataliya Vasylyeva, Belgacem Al-Azem
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摘要

在数学流行病学中,隔室模型被广泛用于描述传染病的动态或种群遗传学的数学模型。在本研究中,我们研究了一个与时间相关的易感-传染-易感(SIS)偏微分方程(PDE)模型,该模型基于著名离散时间马尔可夫链模型概率密度的扩散-漂移近似。由于扩散项在原点的退化性,这种 SIS-PDE 模型是保守的。本文的主要结果是弱解的定性行为、这些解的局部渐近特性对初始数据的依赖性以及 Dirac delta 函数类型解的存在。此外,我们还研究了解的长期行为,并通过数值计算证实了我们的分析。
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Qualitative analysis of solutions for a degenerate partial differential equations model of epidemic spread dynamics
Compartmental models are widely used in mathematical epidemiology to describe the dynamics of infectious diseases or in mathematical models of population genetics. In this study, we study a time-dependent Susceptible-Infectious-Susceptible (SIS) Partial Differential Equation (PDE) model that is based on a diffusion-drift approximation of a probability density from a well-known discrete-time Markov chain model. This SIS-PDE model is conservative due to the degeneracy of the diffusion term at the origin. The main results of this article are the qualitative behavior of weak solutions, the dependence of the local asymptotic property of these solutions on initial data, and the existence of Dirac delta function type solutions. Moreover, we study the long-term behavior of solutions and confirm our analysis with numerical computations.
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