Global dynamics of an endemic disease model with vaccination: Analysis of the asymptomatic and symptomatic groups in complex networks

被引:1
|
作者
Li, Erhui [1 ]
Zhang, Qingshan [1 ,2 ]
机构
[1] Henan Inst Sci & Technol, Sch Math Sci, Xinxiang 453003, Peoples R China
[2] Henan Inst Sci & Technol, Postdoctoral Res Base, Xinxiang 453003, Peoples R China
来源
ELECTRONIC RESEARCH ARCHIVE | 2023年 / 31卷 / 10期
基金
中国博士后科学基金;
关键词
complex networks; equilibrium; stability; vaccination; 2-STRAIN EPIDEMIC MODEL; DEMOGRAPHICS;
D O I
10.3934/era.2023328
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper, we analyze the global dynamics of an endemic mathematical model that incorporates direct immunity by vaccination, as well as the shift from the asymptomatic to the symptomatic group in complex networks. By analyzing the Jacobian matrix and constructing suitable Lyapunov functionals, the stability of the disease-free equilibrium and the endemic equilibrium is determined with respect to the basic reproduction number R-0. Numerical simulations in scale-free and Poisson network environments are presented. The results validate the correctness of our theoretical analyses.
引用
收藏
页码:6481 / 6504
页数:24
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