Global Asymptotic Stability of a Hybrid Differential–Difference System Describing SIR and SIS Epidemic Models with a Protection Phase and a Nonlinear Force of Infection

IF 1.9 3区 数学 Q1 MATHEMATICS
Mostafa Adimy, Abdennasser Chekroun, Charlotte Dugourd-Camus, Hanene Meghelli
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Abstract

We study the local and global asymptotic stability of the two steady-states, disease-free and endemic, of hybrid differential–difference SIR and SIS epidemic models with a nonlinear force of infection and a temporary phase of protection against the disease, e.g. by vaccination or medication. The initial model is an age-structured system that is reduced using the method of characteristic lines to a hybrid system, coupled between differential equations and a time continuous difference equation. We first prove that the solutions of the original system can be obtained from the reduced one. We then focus on the reduced system to obtain new results on the asymptotic stability of the two steady-states. We determine the local asymptotic stability of the two steady-states by studying the associated characteristic equation. We then discuss their global asymptotic stability in various situations (SIR, SIS, mass action, nonlinear force of infection), by constructing appropriate Lyapunov functions.

Abstract Image

具有保护期和非线性感染力的SIR和SIS流行病模型的混合微分-差分系统的全局渐近稳定性
我们研究了具有非线性感染力和临时预防阶段(例如通过疫苗接种或药物治疗)的差分差分SIR和SIS混合流行病模型的无病和流行两种稳态的局部和全局渐近稳定性。初始模型是一个年龄结构系统,使用特征线方法将其简化为一个混合系统,在微分方程和时间连续差分方程之间耦合。首先证明了原系统的解可以由化简后的解得到。然后,我们将重点放在约简系统上,得到关于两个稳态渐近稳定性的新结果。通过研究相关特征方程,确定了两种稳态的局部渐近稳定性。然后,我们通过构造适当的Lyapunov函数,讨论了它们在各种情况下(SIR、SIS、质量作用、非线性感染力)的全局渐近稳定性。
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来源期刊
Qualitative Theory of Dynamical Systems
Qualitative Theory of Dynamical Systems MATHEMATICS, APPLIED-MATHEMATICS
CiteScore
2.50
自引率
14.30%
发文量
130
期刊介绍: Qualitative Theory of Dynamical Systems (QTDS) publishes high-quality peer-reviewed research articles on the theory and applications of discrete and continuous dynamical systems. The journal addresses mathematicians as well as engineers, physicists, and other scientists who use dynamical systems as valuable research tools. The journal is not interested in numerical results, except if these illustrate theoretical results previously proved.
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