%D 2021
%O cited By 2; Conference of 7th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2021 ; Conference Date: 13 September 2021 Through 15 September 2021; Conference Code:176997
%T Dynamic Modeling of COVID-19 Disease with Impact of Lockdown in Pakistan & Malaysia
%R 10.1109/ICSIPA52582.2021.9576795
%X 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
%I Institute of Electrical and Electronics Engineers Inc.
%L scholars15357
%A G.E. Mustafa Abro
%A S.A. Zulkifli
%A V.S. Asirvadam
%A N. Mathur
%A R. Kumar
%A V.K. Oad
%J Proceedings of the 2021 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2021
%K 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