Lyapunov exponent and almost sure asymptotic stability of a stochastic SIRS model

Epidemiological models with bilinear incidence rate usually have an asymptotically stable trivial equilibrium corresponding to the disease-free state, or an asymptotically stable nontrivial equilibrium (i.e. interior equilibrium) corresponding to the endemic state. In this paper, we consider an epid...

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Detalles Bibliográficos
Autores: Chen, Guoting, Li, Tiecheng, Liu, Changjian
Tipo de recurso: artículo
Fecha de publicación:2014
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:118299
Acceso en línea:https://ddd.uab.cat/record/118299
https://dx.doi.org/urn:doi:10.5565/PUBLMAT_Extra14_08
Access Level:acceso abierto
Palabra clave:Stability
SIRS model
Stochastic dierential system
Descripción
Sumario:Epidemiological models with bilinear incidence rate usually have an asymptotically stable trivial equilibrium corresponding to the disease-free state, or an asymptotically stable nontrivial equilibrium (i.e. interior equilibrium) corresponding to the endemic state. In this paper, we consider an epidemiological model, which is a SIRS (susceptible-infected-removed-susceptible) model in uenced by random perturbations. We prove that the solutions of the system are positive for all positive initial conditions and that the solutions are global, that is, there is no finite explosion time. We present necessary and suficient condition for the almost sure asymptotic stability of the steady state of the stochastic system.