BIFURCATIONS OF AN SIRS EPIDEMIC MODEL WITH NONLINEAR INCIDENCE RATE

被引:57
|
作者
Hu, Zhixing [1 ]
Bi, Ping [2 ]
Ma, Wanbiao [1 ]
Ruan, Shigui [3 ]
机构
[1] Univ Sci & Technol Beijing, Dept Appl Math & Mech, Beijing 100083, Peoples R China
[2] E China Normal Univ, Dept Math, Shanghai 200062, Peoples R China
[3] Univ Miami, Dept Math, Coral Gables, FL 33124 USA
来源
基金
美国国家科学基金会; 中国国家自然科学基金; 上海市自然科学基金;
关键词
SIRS epidemic model; nonlinear incidence rate; stability; Hopf bifurcation; Bogdanov-Takens bifurcation; BEHAVIOR; DISEASES;
D O I
10.3934/dcdsb.2011.15.93
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The main purpose of this paper is to explore the dynamics of an epidemic model with a general nonlinear incidence beta SI(p)/(1 + alpha I(q)). The existence and stability of multiple endemic equilibria of the epidemic model are analyzed. Local bifurcation theory is applied to explore the rich dynamical behaviour of the model. Normal forms of the model are derived for different types of bifurcations, including Hopf and Bogdanov-Takens bifurcations. Concretely speaking, the first Lyapunov coefficient is computed to determine various types of Hopf bifurcations. Next, with the help of the Bogdanov-Takens normal form, a family of homoclinic orbits is a rising when a Hopf and a saddle-node bifurcation merge. Finally, some numerical results and simulations are presented to illustrate these theoretical results.
引用
收藏
页码:93 / 112
页数:20
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