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Lyapunov Functions for a Class of Discrete SIRS Epidemic Models with Nonlinear Incidence Rate and Varying Population Sizes

机译:一类具有非线性发生率和种群大小变化的离散SIRS传染病模型的Lyapunov函数

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We investigate the dynamical behaviors of a class of discrete SIRS epidemic models with nonlinear incidence rate and varying population sizes. The model is required to possess different death rates for the susceptible, infectious, recovered, and constant recruitment into the susceptible class, infectious class, and recovered class, respectively. By using the inductive method, the positivity and boundedness of all solutions are obtained. Furthermore, by constructing new discrete type Lyapunov functions, the sufficient and necessary conditions on the global asymptotic stability of the disease-free equilibrium and endemic equilibrium are established.
机译:我们研究了一类具有非线性发生率和不同人口规模的离散SIRS流行病模型的动力学行为。要求模型分别针对易感人群,感染人群,恢复的人群和不断招募到易感人群,传染人群和恢复人群的死亡率。通过归纳法,可以得到所有溶液的正性和有界性。此外,通过构造新的离散型Lyapunov函数,建立了无病平衡和地方平衡的全局渐近稳定性的充要条件。

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