Rich dynamics of a delayed SIRS epidemic model with two-age structure and logistic growth

IF 3.1 3区 数学 Q1 MATHEMATICS
Dongxue Yan, Yu Cao
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引用次数: 0

Abstract

This paper studies a two-age structured SIRS epidemic model with logistic growth of susceptible population and two-time delays. We simultaneously introduce two-time delays, i.e., the immunity and incubation periods, into this dynamic system and investigate their impact on different dynamic behaviors for the model. By means of the \(C_{0}\)-semigroup theory, the model is transformed into a non-densely defined abstract Cauchy problem, and the condition of the existence and uniqueness of the endemic equilibrium is obtained. Following the spectral analysis, the characteristic equation technique, and the Hopf bifurcation theorem, we show that different combinations of the two delays perform a vital role in the instability/stability as well as the Hopf bifurcation results of equilibrium solutions. We numerically provide some graphical representations to check the main theoretical results and show the rich dynamics by varying the two delay parameters.

Abstract Image

具有双年龄结构和逻辑增长的延迟 SIRS 流行病模型的丰富动态变化
本文研究了一种具有易感人群逻辑增长和双时间延迟的双年龄结构 SIRS 流行病模型。我们同时在这个动态系统中引入了两个时间延迟,即免疫期和潜伏期,并研究了它们对模型不同动态行为的影响。通过\(C_{0}\)-半群理论,模型被转化为一个非密集定义的抽象考奇问题,并得到了流行均衡的存在性和唯一性条件。根据谱分析、特征方程技术和霍普夫分岔定理,我们证明了两种延迟的不同组合对平衡解的不稳定性/稳定性以及霍普夫分岔结果起着至关重要的作用。我们用数值方法提供了一些图解来检验主要理论结果,并通过改变两个延迟参数展示了丰富的动态变化。
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来源期刊
Advances in Difference Equations
Advances in Difference Equations MATHEMATICS, APPLIED-MATHEMATICS
CiteScore
8.60
自引率
0.00%
发文量
0
审稿时长
4-8 weeks
期刊介绍: The theory of difference equations, the methods used, and their wide applications have advanced beyond their adolescent stage to occupy a central position in applicable analysis. In fact, in the last 15 years, the proliferation of the subject has been witnessed by hundreds of research articles, several monographs, many international conferences, and numerous special sessions. The theory of differential and difference equations forms two extreme representations of real world problems. For example, a simple population model when represented as a differential equation shows the good behavior of solutions whereas the corresponding discrete analogue shows the chaotic behavior. The actual behavior of the population is somewhere in between. The aim of Advances in Difference Equations is to report mainly the new developments in the field of difference equations, and their applications in all fields. We will also consider research articles emphasizing the qualitative behavior of solutions of ordinary, partial, delay, fractional, abstract, stochastic, fuzzy, and set-valued differential equations. Advances in Difference Equations will accept high-quality articles containing original research results and survey articles of exceptional merit.
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