Dynamic Modeling of COVID-19 Disease with Impact of Lockdown in Pakistan & Malaysia

Mustafa Abro, G.E. and Zulkifli, S.A. and Asirvadam, V.S. and Mathur, N. and Kumar, R. and Oad, V.K. (2021) Dynamic Modeling of COVID-19 Disease with Impact of Lockdown in Pakistan & Malaysia. In: UNSPECIFIED.

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Abstract

Being researchers, it is an utmost responsibility to provide insight on social issues thus, this work addresses the dynamic modeling of first and most contagious disease named as COVID-19 caused by coronavirus. The first case of COVID-19 appeared in Pakistan was on 26th February 2020 and in Malaysia on 27th February 2020; both patients had foreign travel history. In the paper, the number of total affected cases and total deaths in both countries, are quite the same up till 12th April 2020 but the frequency of new cases per day and recovery rate are different from one another. The movement control approach had also been imposed on 18th March 2020 by both countries. Keeping these facts and figures, the paper proposes a mathematical model based on Lotka-Volterra equations and provides numerical solution of differential equations using the suspectable, exposed, infected, and recovered people data to estimate future consequences and address the difference in the growth rate of COVID-19 patients before and after locked down to reduce the spread further by taking pro-active approaches i.e., social distancing and being quarantined for the essential time frame. © 2021 IEEE

Item Type: Conference or Workshop Item (UNSPECIFIED)
Impact Factor: cited By 0
Uncontrolled Keywords: Coronavirus; Differential equations; Predator prey systems, Contagious disease; Corona virus; Coronaviruses; Dynamics models; Lotka-Volterra equations; Malaysia; New case; Outbreak; Pakistan; Social issues, Integral equations
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 28 Dec 2022 08:22
Last Modified: 28 Dec 2022 08:22
URI: http://scholars.utp.edu.my/id/eprint/33457

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