An SIS epidemic model with time delay and stochastic perturbation on heterogeneous networks
An SIS epidemic model with time delay and stochastic perturbation on scale-free networks is established in this paper. And we derive sufficient conditions guaranteeing extinction and persistence of epidemics, respectively, which are related to the basic reproduction number $ R_0 $ of the correspondi...
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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
| Publié: |
AIMS Press
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/ddd7ed9c636243eb9f0f0dc7c33d6480 |
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| Résumé: | An SIS epidemic model with time delay and stochastic perturbation on scale-free networks is established in this paper. And we derive sufficient conditions guaranteeing extinction and persistence of epidemics, respectively, which are related to the basic reproduction number $ R_0 $ of the corresponding deterministic model. When $ R_0 < 1 $, almost surely exponential extinction and $ p $-th moment exponential extinction of epidemics are proved by Razumikhin-Mao Theorem. Whereas, when $ R_0 > 1 $, the system is persistent in the mean under sufficiently weak noise intensities, which indicates that the disease will prevail. Finally, the main results are demonstrated by numerical simulations. |
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