Zin Thu Win
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Zin Thu Win has a total of 2 co-authors. Here are the top co-authors by number of shared publications:
- Boping Tian
School of Mathematics, Harbin Institute of Technology, Harbin 150001, China
1 shared publication - Mahmoud A. Eissa
Department of Mathematics, Harbin Institute of Technology, Harbin, China
1 shared publication
Latest Publications
- Open Access
- 31 August 2022
- Published by MDPI AG in Mathematics
- Vol. 10 (17) , 3119
Stochastic Epidemic Model for COVID-19 Transmission under Intervention Strategies in China
In this paper, we discuss an EIQJR model with stochastic perturbation. First, a globally positive solution of the proposed model has been discussed. In addition, the global asymptotic stability and exponential mean-square stability of the disease-free equilibrium have been proven under suitable conditions for our model. This means that the disease will die over time. We investigate the asymptotic behavior around the endemic equilibrium of the deterministic model to show when the disease will prevail. Constructing a suitable Lyapunov functional method is crucial to our investigation. Parameter estimations and numerical simulations are performed to depict the transmission process of COVID-19 pandemic in China and to support analytical results.
- 31 August 2022
- Published by MDPI AG in Mathematics
- Vol. 10 (17) , 3119
Open AccessStochastic Epidemic Model for COVID-19 Transmission under Intervention Strategies in China
In this paper, we discuss an EIQJR model with stochastic perturbation. First, a globally positive solution of the proposed model has been discussed. In addition, the global asymptotic stability and exponential mean-square stability of the disease-free equilibrium have been proven under suitable conditions for our model. This means that the disease will die over time. We investigate the asymptotic behavior around the endemic equilibrium of the deterministic model to show when the disease will prevail. Constructing a suitable Lyapunov functional method is crucial to our investigation. Parameter estimations and numerical simulations are performed to depict the transmission process of COVID-19 pandemic in China and to support analytical results.