Mathematical Model of the Transmission Dynamics of Corona Virus Disease (COVID-19) and Its Control

William, Atokolo and David, Omale and Tenuche, Bashir Sezuo and Samuel, Olayemi Kehinde and Alih, Daniel Musa and Johnson, Akpa (2021) Mathematical Model of the Transmission Dynamics of Corona Virus Disease (COVID-19) and Its Control. Asian Research Journal of Mathematics, 16 (11). pp. 69-88. ISSN 2456-477X

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Abstract

This work is aimed at formulating a mathematical model for the transmission dynamics and control of corona virus disease in a population. The Disease Free Equilibrium state of the model was determined and shown to be locally asymptotically stable. The Endemic Equilibrium state of the model was also established and proved to be locally asymptotically stable using the trace and determinant method, after which we determined the basic reproduction number ( ) of the model using the next generation method. When ( ), the disease is wiped out of a population, but if ( ), the disease invades such population. Local sensitivity analysis result shows that the rate at which the exposed are quarantined ( ), the rate at which the infected are isolated ( ), the rate at which the quarantined are isolated ( ), and the treatment rate ( ) should be targeted by the control intervention strategies as an increase in the values of these parameters ( and ) will reduce the basic reproduction number ( ) of the COVID-19 and as such will eliminate the disease from the population with time. Numerical simulation of the model shows that the disease will be eradicated with time when enlightenment control measure for the susceptible individuals to observe social distance, frequent use of hand sanitizers, covering of mouth when coughing or sneezing are properly observed. Moreso, increasing the rates at which the suspected and confirmed cases of COVID-19 are quarantined and isolated respectively reduce the spread of the global pandemic.

Item Type: Article
Subjects: STM Digital Press > Mathematical Science
Depositing User: Unnamed user with email support@stmdigipress.com
Date Deposited: 19 Apr 2023 07:30
Last Modified: 17 Jul 2024 09:52
URI: http://publications.articalerewriter.com/id/eprint/327

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