The Global Dynamics for a Stochastic SIS Epidemic Model with Isolation
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In this paper, we investigate the dynamical behavior for a stochastic SIS epidemic model with isolation which is as an important strategy for the elimination of infectious diseases. It is assumed that the stochastic effects manifest themselves mainly as fluctuation in the transmission coefficient, the death rate and the proportional coefficient of the isolation of infective. It is shown that the extinction and persistence in the mean of the model are determined by a threshold value . That is, if , then disease dies out with probability one, and if , then the disease is stochastic persistent in the means with probability one. Furthermore, the existence of a unique stationary distribution is discussed, and the sufficient conditions are established by using the Lyapunov function method. Finally, some numerical examples are carried out to confirm the analytical results.
Xu Y, Sun X, Hu H J Appl Math Comput. 2021; 68(5):3367-3395.
PMID: 34840543 PMC: 8610800. DOI: 10.1007/s12190-021-01645-3.
Disease control through removal of population using Z-control approach.
Senapati A, Panday P, Samanta S, Chattopadhyay J Physica A. 2020; 548:123846.
PMID: 32292237 PMC: 7127574. DOI: 10.1016/j.physa.2019.123846.
Li F, Meng X, Wang X Comput Math Methods Med. 2018; 2018:7873902.
PMID: 29675054 PMC: 5838506. DOI: 10.1155/2018/7873902.