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具有双线性发生率的离散 SIS 模型的分歧分析取决于新感染。

Bifurcation analysis of a discrete SIS model with bilinear incidence depending on new infection.

机构信息

Department of Mathematics, Shaanxi University of Science and Technology, Xi'an, 710021,

出版信息

Math Biosci Eng. 2013 Oct-Dec;10(5-6):1399-417. doi: 10.3934/mbe.2013.10.1399.

Abstract

A discrete SIS epidemic model with the bilinear incidence depending on the new infection is formulated and studied. The condition for the global stability of the disease free equilibrium is obtained. The existence of the endemic equilibrium and its stability are investigated. More attention is paid to the existence of the saddle-node bifurcation, the flip bifurcation, and the Hopf bifurcation. Sufficient conditions for those bifurcations have been obtained. Numerical simulations are conducted to demonstrate our theoretical results and the complexity of the model.

摘要

建立并研究了一个具有双线性发生率的离散 SIS 传染病模型,该发生率取决于新感染。获得了无病平衡点全局稳定性的条件。研究了地方病平衡点的存在及其稳定性。更关注鞍结分岔、翻转分岔和 Hopf 分岔的存在。获得了这些分岔的充分条件。进行了数值模拟以验证我们的理论结果和模型的复杂性。

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