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Modeling diseases with latency and nonlinear incidence rates: global dynamics of a multi-group model

机译:用潜伏期和非线性发病率对疾病进行建模:多组模型的整体动力学

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In this paper, we perform global stability analysis of a multi-group SEIR epidemic model in which we can consider the heterogeneity of host population and the effects of latency and nonlinear incidence rates. For a simpler version that assumes an identical natural death rate for all groups, and with a gamma distribution for the latency, the basic reproduction number is defined by the theory of the next generation operator and proved to be a sharp threshold determining whether or not disease spread. Under certain assumptions, the disease-free equilibrium is globally asymptotically stable if R(0)1 and there exists a unique endemic equilibrium which is globally asymptotically stable if R-0>1. The proofs of global stability of equilibria exploit a matrix-theoretic method using Perron eigenvetor, a graph-theoretic method based on Kirchhoff's matrix tree theorem and Lyapunov functionals. Copyright (c) 2015 John Wiley & Sons, Ltd.
机译:在本文中,我们对一个多组SEIR流行模型进行了全局稳定性分析,其中我们可以考虑宿主种群的异质性以及潜伏期和非线性发生率的影响。对于一个假定所有组的自然死亡率相同且潜伏期具有伽马分布的简单版本,基本繁殖数量由下一代算子的理论定义,并被证明是确定疾病是否存在的敏锐阈值传播。在某些假设下,如果R(0)1,则无病平衡是全局渐近稳定的;如果R-0> 1,则存在唯一的局部平衡,它是全局渐近稳定的。平衡的全局稳定性的证明利用了使用Perron本征向量的矩阵理论方法,基于Kirchhoff矩阵树定理和Lyapunov泛函的图论方法。版权所有(c)2015 John Wiley&Sons,Ltd.

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