4.6 Article

Stochastic permanence of an SIQS epidemic model with saturated incidence and independent random perturbations

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Publisher

ELSEVIER
DOI: 10.1016/j.physa.2016.01.059

Keywords

Stochastically ultimately bounded; Stochastic permanence; Ito's formula; Lyapunov function

Funding

  1. National Natural Science Foundation of China [11201075, 11301207]
  2. Natural Science Foundation of Fujian Province of China [2010J01005]
  3. scholarship under the Education Department of Fujian Province

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This article discusses a stochastic SIQS epidemic model with saturated incidence. We assume that random perturbations always fluctuate at the endemic equilibrium. The existence of a global positive solution is obtained by constructing a suitable Lyapunov function. Under some suitable conditions, we derive the stochastic boundedness and stochastic permanence of the solutions of a stochastic SIQS model. Some numerical simulations are carried out to check our results. (C) 2016 Elsevier B.V. All rights reserved.

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