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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Mustafa Abro, G.E., Zulkifli, S.A., Asirvadam, V.S., Mathur, N., Kumar, R., Oad, V.K.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Online Access:http://scholars.utp.edu.my/id/eprint/33457/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126665846&doi=10.1109%2fICSIPA52582.2021.9576795&partnerID=40&md5=734e47738ccbd27f847db1e92cc89f60
Tags: Add Tag
No Tags, Be the first to tag this record!
id oai:scholars.utp.edu.my:33457
record_format eprints
spelling oai:scholars.utp.edu.my:334572022-12-28T08:22:51Z http://scholars.utp.edu.my/id/eprint/33457/ Dynamic Modeling of COVID-19 Disease with Impact of Lockdown in Pakistan & Malaysia Mustafa Abro, G.E. Zulkifli, S.A. Asirvadam, V.S. Mathur, N. Kumar, R. Oad, V.K. 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 Institute of Electrical and Electronics Engineers Inc. 2021 Conference or Workshop Item NonPeerReviewed 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. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126665846&doi=10.1109%2fICSIPA52582.2021.9576795&partnerID=40&md5=734e47738ccbd27f847db1e92cc89f60
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description 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
format Conference or Workshop Item
author Mustafa Abro, G.E.
Zulkifli, S.A.
Asirvadam, V.S.
Mathur, N.
Kumar, R.
Oad, V.K.
spellingShingle Mustafa Abro, G.E.
Zulkifli, S.A.
Asirvadam, V.S.
Mathur, N.
Kumar, R.
Oad, V.K.
Dynamic Modeling of COVID-19 Disease with Impact of Lockdown in Pakistan & Malaysia
author_facet Mustafa Abro, G.E.
Zulkifli, S.A.
Asirvadam, V.S.
Mathur, N.
Kumar, R.
Oad, V.K.
author_sort Mustafa Abro, G.E.
title Dynamic Modeling of COVID-19 Disease with Impact of Lockdown in Pakistan & Malaysia
title_short Dynamic Modeling of COVID-19 Disease with Impact of Lockdown in Pakistan & Malaysia
title_full Dynamic Modeling of COVID-19 Disease with Impact of Lockdown in Pakistan & Malaysia
title_fullStr Dynamic Modeling of COVID-19 Disease with Impact of Lockdown in Pakistan & Malaysia
title_full_unstemmed Dynamic Modeling of COVID-19 Disease with Impact of Lockdown in Pakistan & Malaysia
title_sort dynamic modeling of covid-19 disease with impact of lockdown in pakistan & malaysia
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2021
url http://scholars.utp.edu.my/id/eprint/33457/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126665846&doi=10.1109%2fICSIPA52582.2021.9576795&partnerID=40&md5=734e47738ccbd27f847db1e92cc89f60
_version_ 1753790780225355776
score 13.160551