A Mathematical Model for the Control on the Transmission Dynamics of COVID-19 Pandemic Containing Asymptomatic and Symptomatic Classes

Abstract

In this research paper work, we developed a COVID-19 epidemic disease model fitted in Nigeria situation. In this model system, we divided Nigeria population into six subpopulations such as Susceptible population, Exposed population, Infected asymptomatic population, Infected symptomatic population, isolated symptomatic population, and the fully recovered population. Control measures parameter (hand sanitizers and nose masks) was incorporated into the model. We obtained the disease-free equilibrium and endemic equilibrium points. The basic reproduction number was obtained using the new generation matrix, the local and global stability was also obtained to be locally and globally asymptotically stable at R0<1 for the DFE. We did numerical simulations using (Maple 17) software. The results showed the importance of the control measures and social distancing through graph.