4.7 Article

Dynamics of the deterministic and stochastic SIQS epidemic model with non-linear incidence

Journal

APPLIED MATHEMATICS AND COMPUTATION
Volume 243, Issue -, Pages 546-558

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.amc.2014.05.136

Keywords

Lyapunov function; Random perturbations; Non-linear incidence; It(o)over-cap's formula; Stationary distribution

Funding

  1. Hongliu Young Teachers of Lanzhou University of Technology [Q201313]
  2. NNSF of China [10961018]
  3. NSF for Distinguished Young Scholars of Gansu Province of China [1111RJDA003]
  4. Special Fund for the Basic Requirements in the Research of University of Gansu Province of China
  5. Development Program for HongLiu Distinguished Young Scholars in Lanzhou University of Technology

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The deterministic and stochastic SIQS models with non-linear incidence are introduced. For deterministic model, the basic reproductive rate R-0 is derived. Moreover, if R-0 <= 1, the disease-free equilibrium is globally asymptotically stable and if R-0 > 1, there exists a unique endemic equilibrium which is globally asymptotically stable. For stochastic model, sufficient condition for extinction of the disease that is regardless of the value of R-0 is presented. In addition, if the intensities of the white noises are sufficiently small and R-0 > 1, then there exists a unique stationary distribution to stochastic model. Numerical simulations are also carried out to confirm the analytical results. (C) 2014 Elsevier Inc. All rights reserved.

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