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

Tahir Khan | Zendy; Gul Zaman | Zendy; Youssef ElKhatib | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Tahir Khan,

Gul Zaman,

Youssef ElKhatib

Publication year - 2021

Publication title -

results in physics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.743

H-Index - 56

ISSN - 2211-3797

DOI - 10.1016/j.rinp.2021.104004

Subject(s) - covid-19 , uniqueness , persistence (discontinuity) , extinction (optical mineralogy) , epidemic model , population , stochastic modelling , statistical physics , dynamics (music) , coronavirus , computer science , mathematics , virology , disease , econometrics , biology , physics , statistics , infectious disease (medical specialty) , mathematical analysis , medicine , environmental health , engineering , pathology , acoustics , geotechnical engineering , paleontology

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research