This work investigated the dynamics of coronavirus amongst the susceptible individuals. It is established herein, with a proposition that there exists a control strategy that is bounded above by 0.01 for the contact rate of susceptible individuals. It is observed that at a=d=1.5, the virus population and the human population coincides, however, at c=b=0.1, almost all the human population is infected by the virus. It is also observed that at endemic state, the corona virus population experiences a decline, and this metamorphoses into a pandemic in the environment, with time. However, the corona virus population decays as the contact rate tends towards 0.001. Some detailed experimental procedure and predictions are presented in this work. A mathematical simulation is presented to buttress our findings.
Udeze, C. & N.C, N (2021). Dynamics and Simulation of Corona Virus Epidemic. Afribary. Retrieved from https://track.afribary.com/works/dynamics-and-simulation-of-corona-virus-epidemic
Udeze, Chigozie, and Njoku N.C "Dynamics and Simulation of Corona Virus Epidemic" Afribary. Afribary, 01 Dec. 2021, https://track.afribary.com/works/dynamics-and-simulation-of-corona-virus-epidemic. Accessed 14 Nov. 2024.
Udeze, Chigozie, and Njoku N.C . "Dynamics and Simulation of Corona Virus Epidemic". Afribary, Afribary, 01 Dec. 2021. Web. 14 Nov. 2024. < https://track.afribary.com/works/dynamics-and-simulation-of-corona-virus-epidemic >.
Udeze, Chigozie and N.C, Njoku . "Dynamics and Simulation of Corona Virus Epidemic" Afribary (2021). Accessed November 14, 2024. https://track.afribary.com/works/dynamics-and-simulation-of-corona-virus-epidemic