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Insights into COVID-19 stochastic modelling with effects of various transmission rates: simulations with real statistical data from UK, Australia, Spain, and India

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成果类型:
期刊论文
作者:
Xu, Changjin;Pang, Yicheng;Liu, Zixin;Shen, Jianwei;Liao, Maoxin;...
通讯作者:
Xu, CJ
作者机构:
[Xu, Changjin; Xu, CJ] Guizhou Univ Finance & Econ, Guizhou Key Lab Econ Syst Simulat, Guiyang 550004, Peoples R China.
[Liu, Zixin; Pang, Yicheng] Guizhou Univ Finance & Econ, Sch Math & Stat, Guiyang 550025, Peoples R China.
[Shen, Jianwei] North China Univ Water Resources & Elect Power, Sch Math & Stat, Zhengzhou 450046, Peoples R China.
[Liao, Maoxin] Univ South China, Sch Math & Phys, Hengyang 421001, Peoples R China.
[Li, Peiluan] Henan Univ Sci & Technol, Sch Math & Stat, Luoyang 471023, Peoples R China.
通讯机构:
[Xu, CJ ] G
Guizhou Univ Finance & Econ, Guizhou Key Lab Econ Syst Simulat, Guiyang 550004, Peoples R China.
语种:
英文
关键词:
ergodic theory;markov Process;hessian matrix;Ito formula
期刊:
PHYSICA SCRIPTA
ISSN:
0031-8949
年:
2024
卷:
99
期:
2
基金类别:
National Natural Science Foundation of Chinahttps://doi.org/10.13039/501100001809
机构署名:
本校为其他机构
院系归属:
数理学院
摘要:
In the literature [16], the COVID-19 model has been constructed using deterministic approach. The present manuscript examines a stochastic model designed to capture the interplay between COVID-19 and varying infection rates on disease dynamics. We present the necessary criteria for a global solution to the considered model to exist and be unique. To illustrate several outcomes pertaining to the ergodic properties of the given system, the we utilize nonlinear analysis. Furthermore, the model undergoes simulation and is compared with deterministic dynamics. To verify the efficacy of the consider...

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