LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

On invariant measures and the asymptotic behavior of a stochastic delayed SIRS epidemic model

Photo from archive.org

Abstract In this paper, we consider a stochastic epidemic model with time delay and general incidence rate. We first prove the existence and uniqueness of the global positive solution. By… Click to show full abstract

Abstract In this paper, we consider a stochastic epidemic model with time delay and general incidence rate. We first prove the existence and uniqueness of the global positive solution. By using the Krylov–Bogoliubov method, we obtain the existence of invariant measures. Furthermore, we study a special case where the incidence rate is bilinear with distributed time delay. When the basic reproduction number R 0 1 , the analysis of the asymptotic behavior around the disease-free equilibrium E 0 is provided while when R 0 > 1 , we prove that the invariant measure is unique and ergodic. The numerical simulations also validate our analytical results.

Keywords: asymptotic behavior; epidemic model; measures asymptotic; invariant measures; behavior stochastic

Journal Title: Physica A: Statistical Mechanics and its Applications
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.