In this paper, by taking full consideration of demographics, transfer from infectious to susceptible and contact heterogeneity of the individuals, we construct an improved Susceptible-Infected-Removed-Susceptible (SIRS) epidemic model on complex heterogeneous networks. Using the next generation matrix method, we obtain the basic reproduction number R-0 which is a critical value and used to measure the dynamics of epidemic diseases. More specifically, if R-0 < 1, then the disease-free equilibrium is globally asymptotically stable; if R-0 > 1, then there exists a unique endemic equilibrium and the permanence of the disease is shown in detail. By constructing an appropriate Lyapunov function, the global stability of the endemic equilibrium is proved as well under some conditions. Moreover, the effects of three major immunization strategies are investigated. Finally, some numerical simulations are carried out to demonstrate the correctness and validness of the theoretical results.
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页码:5729 / 5749
页数:21
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[张轩慧 Zhang Xuanhui], 2017, [数据分析与知识发现, Data Analysis and Knowledge Discovery], V1, P22
机构:
Guilin Univ Elect Technol, Sch Math & Comp Sci, Guilin 541004, Peoples R ChinaGuilin Univ Elect Technol, Sch Math & Comp Sci, Guilin 541004, Peoples R China
Zhu, Guanghu
;
Chen, Guanrong
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City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R ChinaGuilin Univ Elect Technol, Sch Math & Comp Sci, Guilin 541004, Peoples R China
Chen, Guanrong
;
Fu, Xinchu
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机构:
Shanghai Univ, Dept Math, Shanghai 200444, Peoples R ChinaGuilin Univ Elect Technol, Sch Math & Comp Sci, Guilin 541004, Peoples R China
机构:
Guilin Univ Elect Technol, Sch Math & Comp Sci, Guilin 541004, Peoples R ChinaGuilin Univ Elect Technol, Sch Math & Comp Sci, Guilin 541004, Peoples R China
Zhu, Guanghu
;
Chen, Guanrong
论文数: 0引用数: 0
h-index: 0
机构:
City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R ChinaGuilin Univ Elect Technol, Sch Math & Comp Sci, Guilin 541004, Peoples R China
Chen, Guanrong
;
Fu, Xinchu
论文数: 0引用数: 0
h-index: 0
机构:
Shanghai Univ, Dept Math, Shanghai 200444, Peoples R ChinaGuilin Univ Elect Technol, Sch Math & Comp Sci, Guilin 541004, Peoples R China