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The global dynamics for a stochastic SIS epidemic model with isolation

Yiliang Chen, Buyu Wen and Zhidong Teng

Physica A: Statistical Mechanics and its Applications, 2018, vol. 492, issue C, 1604-1624

Abstract: In this paper, we investigate the dynamical behavior for a stochastic SIS epidemic model with isolation which is as an important strategy for the elimination of infectious diseases. It is assumed that the stochastic effects manifest themselves mainly as fluctuation in the transmission coefficient, the death rate and the proportional coefficient of the isolation of infective. It is shown that the extinction and persistence in the mean of the model are determined by a threshold value R0S. That is, if R0S<1, then disease dies out with probability one, and if R0S>1, then the disease is stochastic persistent in the means with probability one. Furthermore, the existence of a unique stationary distribution is discussed, and the sufficient conditions are established by using the Lyapunov function method. Finally, some numerical examples are carried out to confirm the analytical results.

Keywords: Stochastic SIQS epidemic model; Threshold value; Persistence in the mean; Extinction; Stationary distribution (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:492:y:2018:i:c:p:1604-1624

DOI: 10.1016/j.physa.2017.11.085

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