Stability and Bogdanov-Takens Bifurcation of an SIS Epidemic Model with Saturated Treatment Function

被引:4
|
作者
Xiao, Yanju [1 ]
Zhang, Weipeng [1 ]
Deng, Guifeng [2 ]
Liu, Zhehua [1 ]
机构
[1] NE Normal Univ, Sch Math & Stat, Changchun 130024, Jilin, Peoples R China
[2] Shanghai Lixin Univ Commerce, Sch Math & Informat, Shanghai 201620, Peoples R China
基金
中国国家自然科学基金;
关键词
BACKWARD BIFURCATION; NONLINEAR INCIDENCE; SIRS MODEL; DYNAMICS; PERIODICITY; VACCINATION; BEHAVIOR;
D O I
10.1155/2015/745732
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper introduces the global dynamics of an SIS model with bilinear incidence rate and saturated treatment function. The treatment function is a continuous and differential function which shows the effect of delayed treatment when the rate of treatment is lower and the number of infected individuals is getting larger. Sufficient conditions for the existence and global asymptotic stability of the disease-free and endemic equilibria are given in this paper. The first Lyapunov coefficient is computed to determine various types of Hopf bifurcation, such as subcritical or supercritical. By some complex algebra, the Bogdanov-Takens normal form and the three types of bifurcation curves are derived. Finally, mathematical analysis and numerical simulations are given to support our theoretical results.
引用
收藏
页数:14
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