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Stability Analysis of a SEIV Epidemic Model withSaturated Incidence Rate

机译:具有饱和发生率的SEIV流行病模型的稳定性分析

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In this paper, a SEIV epidemic model with saturated incidence rate that incorporates polynomial information on current and past states of the disease is investigated. The model exhibits two equilibria, disease-free equilibrium (DFE) and the endemic equilibrium (EE). It is shown that if the basic reproduction number, R0< 1, the DFE is locally asymptotically stable and by the use of Lyapunov function, DFE is globally asymptotically stable and in such a case, the EE is unstable. Moreover, if R0>1, the endemic equilibrium is locally asymptotically stable. The effects of the rate at which vaccine wanes (ω) are investigated through numerical stimulations.
机译:在本文中,研究了具有饱和发病率的SEIV流行病模型,该模型结合了有关疾病当前和过去状态的多项式信息。该模型表现出两个平衡点:无病平衡(DFE)和地方性平衡(EE)。可以看出,如果基本再现数R0 <1,则DFE是局部渐近稳定的,并且通过使用李雅普诺夫函数,DFE是全局渐近稳定的,并且在这种情况下,EE是不稳定的。此外,如果R0> 1,则地方平衡在局部渐近稳定。通过数值刺激研究了疫苗消退率(ω)的影响。

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