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A stochastic SIS epidemic model with saturating contact rate

机译:具有饱和接触率的随机SIS流行病模型

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In this paper, we formulate and investigate the dynamics of a SIS epidemic model with saturating contact rate and its corresponding stochastic differential equation version. For the deterministic epidemic model, we show that the disease-free equilibrium is global asymptotically stable if the basic reproduction number is less than unity; and if the basic reproduction number is greater than unity, model (1.2) admits a unique endemic equilibrium which is locally asymptotically stable by analyzing the corresponding characteristic equations. For the stochastic epidemic model, the existence and uniqueness of the positive solution are proved by employing the Lyapunov analysis method. The basic reproduction number R-0(S) is proved to be a sharp threshold which determines whether there is an endemic outbreak or not. If R-0(S) < 1 and under mild extra conditions, the disease can be eradicated almost surely whereas if R-0(S) > 1, it has a stationary distribution which leads to the stochastic persistence of the disease. Finally, numerical simulations are presented to illustrate our theoretical results. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文用饱和接触率及其相应的随机微分方程,制定和研究SIS流行病模型的动态。对于确定性的流行病模型,如果基本再现数量小于单位,我们表明免疫平衡是全球渐近稳定的;如果基本再现数大于Unity,则型号(1.2)承认通过分析相应的特性方程来局部渐近稳定的独特的流行性平衡。对于随机流行病模型,通过采用Lyapunov分析方法证明了正解的存在和唯一性。证明基本再现数R-0(s)是一种尖锐的阈值,它决定了是否存在流行爆发。如果R-0(S)<1并在温和的额外条件下,这种疾病几乎可以肯定地消除,而如果R-0> 1,则它具有固定的分布,导致疾病的随机持续存在。最后,提出了数值模拟以说明我们的理论结果。 (c)2019 Elsevier B.v.保留所有权利。

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