Cargando…
Finite-time stability analysis and control of stochastic SIR epidemic model: A study of COVID-19
Finite-time stability analysis is a powerful tool for understanding the long-term behavior of epidemiological models and has been widely used to study the spread of infectious diseases such as COVID-19. In this paper, we present a finite-time stability analysis of a stochastic susceptible–infected–r...
Autores principales: | Gunasekaran, Nallappan, Vadivel, R., Zhai, Guisheng, Vinoth, S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10261717/ https://www.ncbi.nlm.nih.gov/pubmed/37337551 http://dx.doi.org/10.1016/j.bspc.2023.105123 |
Ejemplares similares
-
Optimal control of an SIR epidemic through finite-time non-pharmaceutical intervention
por: Ketcheson, David I.
Publicado: (2021) -
Underdetection in a stochastic SIR model for the analysis of the COVID-19 Italian epidemic
por: Bodini, Antonella, et al.
Publicado: (2021) -
Stochastic SIR epidemics in a population with households and schools
por: Ouboter, Tanneke, et al.
Publicado: (2015) -
Threshold Dynamics in Stochastic SIRS Epidemic Models with Nonlinear Incidence and Vaccination
por: Wang, Lei, et al.
Publicado: (2017) -
A stochastic SIR network epidemic model with preventive dropping of edges
por: Ball, Frank, et al.
Publicado: (2019)