A regime-switching stochastic SIR epidemic model with a saturated incidence and limited medical resources
作者机构:Department of Applied Mathematics Northwestern Polytechnical University Xi'an 710072ShaanciP.R.China
出 版 物:《International Journal of Biomathematics》 (生物数学学报(英文版))
年 卷 期:2023年第16卷第7期
页 面:91-110页
核心收录:
学科分类:07[理学] 070104[理学-应用数学] 0701[理学-数学]
主 题:Epidemic model extinction persistence Markov switching saturated incidence
摘 要:The stochastic switching SIR epidemic model with saturated incidence and limited medical treatment is investigated in this *** using Lyapunov methods and Ito formula,we first prove that the system has a unique global positive solution with any positive initial *** combining inequality technique and the ergodic property of Markov switching,the suficient conditions for extinction and persistence in the mean of the disease are *** results demonstrate that increasing medical resources and improving supply efficiency can accelerate the transition from the persistent state to the extinct ***,the high incidence rate will slow down the extinction of the ***,the switching noise can induce the system to toggle between the extinct and persistent ***,some numerical simulations are carried out to confirm the analytical results.