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. K. (2026). Dynamics and Simulation of Corona Virus Epidemic. Afribary. Retrieved June 14, 2026, from http://library.afribary.com/works/dynamics-and-simulation-of-corona-virus-epidemic
MLA
Udeze, Chigozie, and Njoku Kevin N.C. "Dynamics and Simulation of Corona Virus Epidemic." Afribary, 7 Jun. 2026, http://library.afribary.com/works/dynamics-and-simulation-of-corona-virus-epidemic. Accessed June 14, 2026.
Chicago
Udeze, Chigozie, and Njoku Kevin N.C. "Dynamics and Simulation of Corona Virus Epidemic." Afribary (2026). Accessed June 14, 2026. http://library.afribary.com/works/dynamics-and-simulation-of-corona-virus-epidemic