Modeling the Impact of Lock-down on COVID-19 Spread in Malaysia

Author:

Altahir Altahir A.,Mathur NirbhayORCID,Thiruchelvam Loshini,Mustafa Abro Ghulam E.,Radzi Syaimaa’ S. M.,Dass Sarat C.,Gill Balvinder SinghORCID,Sebastian P.,Zulkifli Saiful A.M.ORCID,Asirvadam Vijanth S.

Abstract

AbstractAfter a breakdown notified in Wuhan, China in December 2019, COVID-19 is declared as pandemic diseases. To the date more than 13 million confirmed cases and more than half a million are dead around the world. This virus also attached Malaysia in its immature stage where 8718 cases were confirmed and 122 were declared as death. Malaysia responsibly controlled the spread by enforcing MCO. Hence, it is required to visualize the pattern of Covid-19 spread. Also, it is necessary to estimate the impact of the enforced prevention measures. In this paper, an infectious disease dynamic modeling (SEIR) is used to estimate the epidemic spread in Malaysia. The main assumption is to update the reproduction number Rt with respect to the implemented prevention measures. For a time-frame of five month, the Rt was assumed to vary between 2.9 and 0.3. Moreover, the manuscript includes two possible scenarios: the first will be the extension of the stricter measures all over the country, and the second will be the gradual lift of the lock-down. After implementing several stages of lock-down we have found that the estimated values of theRtwith respect to the strictness degree varies between 0.2 to 1.1. A continuous strict lock-down may reduce theRtto 0.2 and accordingly the estimated active cases will be reduced to 20 by the beginning of September 2020. In contrast, the second scenario considers a gradual lift of the enforced prevention measures by the end of June 2020, here we have considered three possible outcomes according to the MCO relaxation. Thus, the estimated values ofRt= 0.7, 0.9, 1.1, which shows a rapid increase in the number of active cases. The implemented SEIR model shows a close resemblance with the actual data recorded from 10, March till 7, July 2020.Author summaryConceptualization, A.A.A; methodology, A.A.A, N.M; validation, A.A.A, N.M; formal analysis, A.A.A; investigation, N.M, A.A.A; resources, G.E.M.A, L.T; data collection, L.T, N.M; writing—original draft preparation, A.A.A, L.T, G.E.M.A, N.M; writing—review and editing, V.S.A, S.C.D, B.S.G, P.S, S.A.B.M.Z, N.M; visualization, N.M; supervision, V.S.A; project administration, V.S.A. All authors have read and agreed to the published version of the manuscript

Publisher

Cold Spring Harbor Laboratory

Reference50 articles.

1. Cascella, Marco , Michael Rajnik , Arturo Cuomo , Scott C. Dulebohn , and Raffaela Di Napoli . “Features, evaluation and treatment coronavirus (COVID-19).” In Statpearls [internet]. StatPearls Publishing, 2020.

2. Assessment of 21 days lockdown effect in some states and overall India: a predictive mathematical study on COVID-19 outbreak;arXiv preprint arXiv,2020

3. The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak-an update on the status;Military Medical Research,2020

4. Khan, Naushad , and Shah Faisal . “Epidemiology of corona virus in the world and its effects on the China economy.” Available at SSRN 3548292 (2020).

5. Zhu, Na , Dingyu Zhang , Wenling Wang , Xingwang Li , Bo Yang , Jingdong Song , Xiang Zhao et al. “A novel coronavirus from patients with pneumonia in China, 2019.” New England Journal of Medicine (2020).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3