Threshold dynamics of an SEAIR epidemic model with application to COVID-19

Zijun Zheng, Youping Yang
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引用次数: 1

Abstract

In this paper, a Susceptible-Exposed-Asymptomatic-Infectious-Recovered (SEAIR) epidemic model with application to COVID-19 is established by capturing the key features of the disease. The global dynamics of the model is analyzed by constructing appropriate Lyapunov functions utilizing the basic reproduction number R0 as an index. We obtain that when R0 < 1, the disease-free equilibrium is globally asymptotically stable. While for R0 > 1, the endemic equilibrium is globally asymptotically stable. Furthermore, we consider the pulse vaccination for the disease and give an impulsive differential equations model. The definition of the basic reproduction number R0 of this system is given by utilizing the next generation operator. By the comparison theorem and persistent theory, we obtain that when R0 < 1, the disease-free periodic solution is globally asymptotically stable. Otherwise, the disease will persist and there will be at least one nontrivial periodic solution. Numerical simulations to verify our conclusions are given at the end of each of these theorems.
SEAIR流行病模型的阈值动力学及其在COVID-19中的应用
本文通过捕捉COVID-19的关键特征,建立了适用于该疾病的易感-暴露-无症状-感染-恢复(SEAIR)流行病模型。以基本再生数R0为指标,构造适当的Lyapunov函数,分析了模型的全局动力学。得到当R0 < 1时,无病平衡点是全局渐近稳定的。而当R0 > 1时,地方性平衡是全局渐近稳定的。进一步地,我们考虑了疾病的脉冲接种,并给出了一个脉冲微分方程模型。利用下一代算子给出了该系统的基本再现数R0的定义。利用比较定理和持久理论,我们得到了当R0 < 1时,无病周期解是全局渐近稳定的。否则,疾病将持续存在,并且至少会有一个非平凡的周期性解决方案。在每个定理的最后都给出了数值模拟来验证我们的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Nonlinear Sciences and Applications
Journal of Nonlinear Sciences and Applications MATHEMATICS, APPLIED-MATHEMATICS
自引率
0.00%
发文量
11
期刊介绍: The Journal of Nonlinear Science and Applications (JNSA) (print: ISSN 2008-1898 online: ISSN 2008-1901) is an international journal which provides very fast publication of original research papers in the fields of nonlinear analysis. Journal of Nonlinear Science and Applications is a journal that aims to unite and stimulate mathematical research community. It publishes original research papers and survey articles on all areas of nonlinear analysis and theoretical applied nonlinear analysis. All articles are fully refereed and are judged by their contribution to advancing the state of the science of mathematics. Manuscripts are invited from academicians, research students, and scientists for publication consideration. Papers are accepted for editorial consideration through online submission with the understanding that they have not been published, submitted or accepted for publication elsewhere.
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