Dynamics and Simulation of Corona Virus Epidemic

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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. 

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APA

Udeze, C. & N.C, N (2021). Dynamics and Simulation of Corona Virus Epidemic. Afribary. Retrieved from https://afribary.com/works/dynamics-and-simulation-of-corona-virus-epidemic

MLA 8th

Udeze, Chigozie, and Njoku N.C "Dynamics and Simulation of Corona Virus Epidemic" Afribary. Afribary, 01 Dec. 2021, https://afribary.com/works/dynamics-and-simulation-of-corona-virus-epidemic. Accessed 24 Jan. 2022.

MLA7

Udeze, Chigozie, and Njoku N.C . "Dynamics and Simulation of Corona Virus Epidemic". Afribary, Afribary, 01 Dec. 2021. Web. 24 Jan. 2022. < https://afribary.com/works/dynamics-and-simulation-of-corona-virus-epidemic >.

Chicago

Udeze, Chigozie and N.C, Njoku . "Dynamics and Simulation of Corona Virus Epidemic" Afribary (2021). Accessed January 24, 2022. https://afribary.com/works/dynamics-and-simulation-of-corona-virus-epidemic