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Susceptible-infected-recoveredmodels with natural birth and death on complex networks

机译:在复杂网络上具有自然出生和死亡的易感感染恢复模型

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This paper proposes two modified susceptible-infected-recovered (SIRS) models on homogenous and heterogeneous networks, respectively. In the study of the homogenous network model, Lyapunov functions are used to study the globally asymptotically stable of the equilibria of the model. It is proved that if the basic reproduction number of the model is less than one, then the disease-free equilibrium is globally asymptotically stable, otherwise, the endemic equilibrium is globally asymptotically stable. In the study of the heterogeneous network model, the existences of the disease-free equilibrium and epidemic equilibrium of the model are discussed. A threshold value (R-0) over tilde is given. It is proved that if the threshold value (R-0) over tilde of the model is less than one, then the disease-free equilibrium is globally asymptotically stable. The simulation examples on the two SIRS models are given. Copyright (c) 2013 John Wiley & Sons, Ltd.
机译:本文分别在同质网络和异质网络上提出了两种改进的易感感染恢复(SIRS)模型。在均质网络模型的研究中,使用Lyapunov函数研究模型平衡点的全局渐近稳定。证明了,如果模型的基本再生数小于1,则无病平衡是全局渐近稳定的,否则,地方病平衡是全局渐近稳定的。在对异构网络模型的研究中,讨论了模型的无病平衡和流行病平衡的存在。给出了超过代字号的阈值(R-0)。可以证明,如果模型的代字号上的阈值(R-0)小于1,则无病平衡是全局渐近稳定的。给出了两个SIRS模型的仿真示例。版权所有(c)2013 John Wiley&Sons,Ltd.

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