Abstract

In this paper, two stochastic SIRS epidemic models with standard incidence were proposed and investigated. For the non-autonomous periodic model, the sufficient criteria for extinction of the disease are obtained firstly. Then we show that the stochastic system has at least one nontrivial positive T-periodic solution under some conditions. For the model that are both disturbed by the white noise and telephone noise, we construct a suitable Lyapunov functions to verify the existence of a unique ergodic stationary distribution. Meanwhile, the sufficient condition for the extinction of the disease is also established. Finally, examples are introduced to illustrate the theoretical analysis.

Highlights

  • In the natural world, various systems are inevitably affected by the random factors [1,2,3]

  • For any k ∈ S, A(k), d(k), β(k), δ(k), γ (k), α(k) and σi(k) (i = 1, 2, 3) are positive constants. Another goal of this paper is to prove the existence of a unique ergodic stationary distribution of the positive solution to the system (3)

  • For the non-autonomous stochastic system (2), we investigate the extinction criteria of the disease, firstly

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Summary

Introduction

Various systems are inevitably affected by the random factors [1,2,3]. (2019) 2019:22 has a unique global positive solution for any initial value (S(0), I(0), R(0)) ∈ R3+ and has an ergodic stationary distribution under some conditions. In 2015, Lin et al [33] proposed a stochastic SIR epidemic model with seasonal variation and analyzed the existence of a nontrivial positive periodic solution.

Results
Conclusion

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