Impact of information and Levy noise on stochastic COVID-19 epidemic model under real statistical data

被引：2
|
作者：
Liu, Peijiang [1 ,2 ]
Huang, Lifang [1 ,2 ]
Din, Anwarud [3 ]
Huang, Xiangxiang [4 ]
机构：
[1] Guangdong Univ Finance & Econ, Sch Stat & Math, Big Data & Educ Stat Applicat Lab, Guangzhou, Peoples R China
[2] Guangdong Univ Finance & Econ, Sch Stat & Math, Guangzhou, Peoples R China
[3] Sun Yat Sen Univ, Dept Math, Guangzhou, Peoples R China
[4] Dongguan Univ Technol, Sch Comp Sci & Technol, Dongguan, Peoples R China
来源：
JOURNAL OF BIOLOGICAL DYNAMICS | 2022年 / 16卷 / 01期
关键词：
Stochastic COVID-19 model; Levy jump; information intervention; extinction; persistence; numerical simulation;
D O I：
10.1080/17513758.2022.2055172
中图分类号：
Q14 [生态学（生物生态学）];
学科分类号：
071012 ; 0713 ;
摘要：
In this paper, we consider the dynamical behaviour of a stochastic coronavirus (COVID-19) susceptible-infected-removed epidemic model with the inclusion of the influence of information intervention and Levy noise. The existence and uniqueness of the model positive solution are proved. Then, we establish a stochastic threshold as a sufficient condition for the extinction and persistence in mean of the disease. Based on the available COVID-19 data, the parameters of the model were estimated and we fit the model with real statistics. Finally, numerical simulations are presented to support our theoretical results.
引用
收藏
页码：236 / 253
页数：18
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