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Article ; Online: Modeling the dynamics of novel coronavirus (COVID-19) via stochastic epidemic model.

Khan, Tahir / Zaman, Gul / El-Khatib, Youssef

Results in physics

2021  Volume 24, Page(s) 104004

Abstract: In this article we propose a stochastic model to discuss the dynamics of novel corona virus disease ... we divided the total human population into three epidemiological compartments: the susceptible, covid-19 ... We formulate the model to study the long run behavior in varying population environment. For this purposes ...

Abstract In this article we propose a stochastic model to discuss the dynamics of novel corona virus disease. We formulate the model to study the long run behavior in varying population environment. For this purposes we divided the total human population into three epidemiological compartments: the susceptible, covid-19 infected, recovered and recovered along with one class of reservoir. The existence and uniqueness of the newly formulated model will be studied to show the well-possedness of the model. Moreover, we investigate the extinction analysis as well as the persistence analysis to find the disease extinction and disease persistence conditions. At the end we perform simulation to justify the investigation of analytical work with the help of graphical representations.
Language English
Publishing date 2021-03-27
Publishing country Netherlands
Document type Journal Article
ZDB-ID 2631798-9
ISSN 2211-3797 ; 2211-3797
ISSN (online) 2211-3797
ISSN 2211-3797
DOI 10.1016/j.rinp.2021.104004
Database MEDical Literature Analysis and Retrieval System OnLINE

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