Impact of reinfection on dynamics of epidemic model with discrete two-state structure

被引:1
作者
Zhai, Shidong [1 ]
Cao, Jixiang [1 ]
Wang, Yuan [1 ]
Zheng, Wei Xing [2 ]
机构
[1] Chongqing Univ Posts & Telecommun, Sch Automat, Chongqing 400065, Peoples R China
[2] Western Sydney Univ, Sch Comp Data & Math Sci, Sydney, NSW 2751, Australia
关键词
Epidemic model; Stability; Endemic equilibrium; Reinfection; Healthy manifold; GLOBAL DYNAMICS; APPROXIMATION; DISEASE;
D O I
10.1007/s11071-024-10266-x
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This article investigates an infectious disease model with two-state and repeated infection in recovered populations. The state of an infected individual can switch between two possible states. Some suitable reproduction numbers like the classic basic reproduction number are introduced, which can determine the number of equilibrium points of the epidemic model, the stability of the healthy manifold and the strongly (weakly) endemic equilibrium. Based on different combinations of reproduction numbers and initial conditions, the dynamics of the epidemic model may present four different behaviors: (1) all states tend to a point in a disease-free manifold; (2) all states tend to a strongly (weakly) endemic equilibrium; (3) some states starting from the neighborhood of an unstable healthy submanifold approach a stable healthy submanifold; and (4) all states may approach a point in a disease-free manifold or (weakly) endemic equilibrium according to different initial conditions. Finally, three numerical examples and one actual data example are provided to demonstrate various possible behaviors and validate the theoretical findings.
引用
收藏
页码:1909 / 1924
页数:16
相关论文
共 42 条
[1]  
[Anonymous], 2020, Covid-19 dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins
[2]   Modelling a pandemic with asymptomatic patients, impact of lockdown and herd immunity, with applications to SARS-CoV-2 [J].
Ansumali, Santosh ;
Kaushal, Shaurya ;
Kumar, Aloke ;
Prakash, Meher K. ;
Vidyasagar, M. .
ANNUAL REVIEWS IN CONTROL, 2020, 50 :432-447
[3]   OPTIMAL INCENTIVES TO MITIGATE EPIDEMICS: A STACKELBERG MEAN FIELD GAME APPROACH [J].
Aurell, Alexander ;
Carmona, Rene ;
Dayanikli, Gokce ;
Lauriere, Mathieu .
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2022, 60 (02) :S294-S322
[4]  
Berman A., 1994, Nonnegative Matrices in the Mathematical Sciences, DOI [10.1137/1.9781611971262, DOI 10.1137/1.9781611971262]
[5]   Is fractional-order chaos theory the new tool to model chaotic pandemics as Covid-19? [J].
Borah, Manashita ;
Gayan, Antara ;
Sharma, Jiv Siddhi ;
Chen, YangQuan ;
Wei, Zhouchao ;
Viet-Thanh Pham .
NONLINEAR DYNAMICS, 2022, 109 (02) :1187-1215
[6]   Global attractivity of the equilibria of the diffusive SIR and SEIR epidemic models with multiple parallel infectious stages and nonlinear incidence mechanism [J].
Dong, Lingmin ;
Hou, Shuai ;
Lei, Chengxia .
APPLIED MATHEMATICS LETTERS, 2022, 134
[7]   Tracking Epidemics With Google Flu Trends Data and a State-Space SEIR Model [J].
Dukic, Vanja ;
Lopes, Hedibert F. ;
Polson, Nicholas G. .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2012, 107 (500) :1410-1426
[8]   Epidemiological Models and Lyapunov Functions [J].
Fall, A. ;
Iggidr, A. ;
Sallet, G. ;
Tewa, J. J. .
MATHEMATICAL MODELLING OF NATURAL PHENOMENA, 2007, 2 (01) :62-83
[9]   Multistate Dynamical Processes on Networks: Analysis through Degree-Based Approximation Frameworks [J].
Fennell, Peter G. ;
Gleeson, James P. .
SIAM REVIEW, 2019, 61 (01) :92-118
[10]   A study on infectivity of asymptomatic SARS-CoV-2 carriers [J].
Gao, Ming ;
Yang, Lihui ;
Chen, Xuefu ;
Deng, Yiyu ;
Yang, Shifang ;
Xu, Hanyi ;
Chen, Zixing ;
Gao, Xinglin .
RESPIRATORY MEDICINE, 2020, 169