A SIQ mathematical model on COVID-19 investigating the lockdown effect

This research paper aims at studying the impact of lockdown on the dynamics of novel Corona Virus Disease (COVID-19) emerged in Wuhan city of China in December 2019. Perceiving the pandemic situation throughout the world, Government of India restricted international passenger traffic through land ch...

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Veröffentlicht in:Infectious disease modelling Jg. 6; S. 244 - 257
Hauptverfasser: Bhadauria, Archana Singh, Pathak, Rachana, Chaudhary, Manisha
Format: Journal Article
Sprache:Englisch
Veröffentlicht: China Elsevier B.V 01.01.2021
KeAi Publishing
KeAi Communications Co., Ltd
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ISSN:2468-0427, 2468-2152, 2468-0427
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Zusammenfassung:This research paper aims at studying the impact of lockdown on the dynamics of novel Corona Virus Disease (COVID-19) emerged in Wuhan city of China in December 2019. Perceiving the pandemic situation throughout the world, Government of India restricted international passenger traffic through land check post (Liang, 2020) and imposed complete lockdown in the country on 24 March 2020. To study the impact of lockdown on disease dynamics we consider a three-dimensional mathematical model using nonlinear ordinary differential equations. The proposed model has been studied using stability theory of nonlinear ordinary differential equations. Basic reproduction ratio is computed and significant parameters responsible to keep basic reproduction ratio less than one are identified. The study reveals that disease vanishes from the system only if complete lockdown is imposed otherwise disease will always persist in the population. However, disease can be kept under control by implementing contact tracing and quarantine measures as well along with lockdown if lockdown is imposed partially.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2468-0427
2468-2152
2468-0427
DOI:10.1016/j.idm.2020.12.010