Abstract
In this paper, we analyze the dynamics of a stochastic nonautonomous SIR epidemic model, in which population growth is subject to logistic growth in absence of disease. For the periodic system, we present sufficient conditions for persistence of the epidemic and in the case of persistence, by constructing some suitable Lyapunov functions, we show that there is at least one nontrivial positive periodic solution. One of the most important findings is that random perturbations may be beneficial to formate the periodic solution to the stochastic nonautonomous SIR epidemic model.
| Original language | English |
|---|---|
| Pages (from-to) | 816-826 |
| Number of pages | 11 |
| Journal | Physica A: Statistical Mechanics and its Applications |
| Volume | 462 |
| DOIs | |
| State | Published - 15 Nov 2016 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Lyapunov function
- Periodic solution
- Persistence
- Stochastic SIR epidemic model
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