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Stochastic persistence and stationary distribution in an SIS epidemic model with media coverage

This paper aims to study an SIS epidemic model with media coverage from a general deterministic model to a stochastic differential equation with environment fluctuation. Mathematically, we use the Markov semigroup theory to prove that the basic reproduction number [Formula: see text] can be used to...

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Detalles Bibliográficos
Autores principales: Guo, Wenjuan, Cai, Yongli, Zhang, Qimin, Wang, Weiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125861/
https://www.ncbi.nlm.nih.gov/pubmed/32288104
http://dx.doi.org/10.1016/j.physa.2017.11.137
Descripción
Sumario:This paper aims to study an SIS epidemic model with media coverage from a general deterministic model to a stochastic differential equation with environment fluctuation. Mathematically, we use the Markov semigroup theory to prove that the basic reproduction number [Formula: see text] can be used to control the dynamics of stochastic system. Epidemiologically, we show that environment fluctuation can inhibit the occurrence of the disease, namely, in the case of disease persistence for the deterministic model, the disease still dies out with probability one for the stochastic model. So to a great extent the stochastic perturbation under media coverage affects the outbreak of the disease.