Asymptotic behaviors of stochastic epidemic models with jump-diffusion

被引:21
作者
Nguyen Thanh Dieu [1 ]
Fugo, Takasu [2 ]
Nguyen Huu Du [3 ]
机构
[1] Vinh Univ, Dept Math, 182 Le Duan, Vinh, Nghe An, Vietnam
[2] Nara Womens Univ, Dept Environm Sci, Nara 6308506, Japan
[3] Hanoi Natl Univ, Dept Math Mech & Informat, 334 Nguyen Trai, Hanoi, Vietnam
关键词
SIR model; Extinction; Permanence; Stationary distribution; Ergodicity; DYNAMICS;
D O I
10.1016/j.apm.2020.05.003
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, we classify the asymptotic behavior for a class of stochastic SIR epidemic models represented by stochastic differential systems where the Brownian motions and Levy jumps perturb to the linear terms of each equation. We construct a threshold value between permanence and extinction and develop the ergodicity of the underlying system. It is shown that the transition probabilities converge in total variation norm to the invariant measure. Our results can be considered as a significant contribution in studying the long term behavior of stochastic differential models because there are no restrictions imposed to the parameters of models. Techniques used in proving results of this paper are new and suitable to deal with other stochastic models in biology where the noises may perturb to nonlinear terms of equations or with delay equations. (C) 2020 Elsevier Inc. All rights reserved.
引用
收藏
页码:259 / 270
页数:12
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