Work

Modeling the dynamics of novel coronavirus (COVID-19) via stochastic epidemic model

Year: 2021

Type: article

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.

Source: Results in Physics

DOI: 10.1016/j.rinp.2021.104004

Authors: Tahir Khan, Gul Zaman, Youssef El-Khatib

Institutions: University of Malakand, United Arab Emirates University

Language: English

Topic: Mathematical and Theoretical Epidemiology and Ecology Models

Subfield: Applied Mathematics

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,200