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Dynamics for an SIRS epidemic model with infection age and relapse on a scale-free network
被引:25
|作者:
Huo, Hai-Feng
[1
]
Yang, Peng
[1
]
Xiang, Hong
[1
]
机构:
[1] Lanzhou Univ Technol, Dept Appl Math, Lanzhou 730050, Gansu, Peoples R China
来源:
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
|
2019年
/
356卷
/
13期
关键词:
MATHEMATICAL-THEORY;
GLOBAL STABILITY;
ALCOHOLISM MODEL;
ROYAL SOCIETY;
DISEASE;
DEMOGRAPHICS;
ENDEMICITY;
SEMIFLOWS;
D O I:
10.1016/j.jfranklin.2019.03.034
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
A new SIRS epidemic model with infection age and relapse on a scale-free network is introduced. The basic reproduction number R-0 is defined. Asymptotic smoothness of solution and uniform persistence of system are proved. It is shown that the disease-free equilibrium is globally asymptotically stable by using Fluctuation Lemma if R-0 < 1 and the endemic equilibrium is globally asymptotically stable by constructing suitable Lyapunov functional if R-0 > 1. Effects of two immunization schemes are studied. Numerical simulations and sensitivity analysis are performed. Results manifest that infection age and degree of node play a significant role in controlling the emergence and spread of the epidemic disease. (C) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
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页码:7411 / 7443
页数:33
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