Global dynamics of a network-based SIQRS epidemic model with demographics and vaccination

被引:57
|
作者
Huang, Shouying [1 ]
Chen, Fengde [1 ]
Chen, Lijuan [1 ,2 ]
机构
[1] Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350116, Fujian, Peoples R China
[2] Tongji Univ, Dept Math, Shanghai 200092, Peoples R China
来源
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2017年 / 43卷
关键词
Heterogeneous network; Epidemic spreading; SIQRS model; Global dynamics; SPREADING DYNAMICS; STABILITY ANALYSIS; VIRUS;
D O I
10.1016/j.cnsns.2016.07.014
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper investigates a new SIQRS epidemic model with demographics and vaccination on complex heterogeneous networks. We analytically derive the basic reproduction number R-0, which determines not only the existence of endemic equilibrium but also the global dynamics of the model. The permanence of the disease and the globally asymptotical stability of disease-free equilibrium are proved in detail. By using a monotone iterative technique, we show that the unique endemic equilibrium is globally attractive under certain conditions. Our results really improve and enrich the results in Li et al (2014) [14]. Interestingly, the basic reproduction number R-0 bears no relation to the degree-dependent birth, but our simulations indicate that the degree-dependent birth does affect the epidemic dynamics. Furthermore, we find that quarantine plays a more active role than vaccination in controlling the disease. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:296 / 310
页数:15
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