Skip to content
Research Article Open access CC BY 4.0

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

Atokolo William, Omale David, Bashir Sezuo Tenuche, Olayemi Kehinde Samuel, Daniel Musa Alih, Akpa Johnson

Asian Research Journal of Mathematics · pp. 69–88 · Published 13 Jan 2021

10.9734/arjom/2020/v16i1130244

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.

Corona virus model quarantine isolation treatment.

Cited by 2

Modelling the Transmission Dynamics of COVID-19 Incorporating public Enlightenment Campaign

T. Ashezua, L. C. Aondona, A. U. Amaonyeiro · Journal of Applied Sciences and Environmental Management · 2022

Mathematical model for transmission dynamics of HIV and tuberculosis co-infection in Kogi State, Nigeria

D. Omale, P. Ojih, W. Atokolo · Journal of Mathematics and Computer Science · 2021

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

2

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.