Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Bhadauria, Archana Singh, Pathak, Rachana, Chaudhary, Manisha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789846/
https://www.ncbi.nlm.nih.gov/pubmed/33437896
http://dx.doi.org/10.1016/j.idm.2020.12.010
_version_ 1783633328807608320
author Bhadauria, Archana Singh
Pathak, Rachana
Chaudhary, Manisha
author_facet Bhadauria, Archana Singh
Pathak, Rachana
Chaudhary, Manisha
author_sort Bhadauria, Archana Singh
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7789846
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher KeAi Publishing
record_format MEDLINE/PubMed
spelling pubmed-77898462021-01-08 A SIQ mathematical model on COVID-19 investigating the lockdown effect Bhadauria, Archana Singh Pathak, Rachana Chaudhary, Manisha Infect Dis Model Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu 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. KeAi Publishing 2021-01-07 /pmc/articles/PMC7789846/ /pubmed/33437896 http://dx.doi.org/10.1016/j.idm.2020.12.010 Text en © 2021 The Authors. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu
Bhadauria, Archana Singh
Pathak, Rachana
Chaudhary, Manisha
A SIQ mathematical model on COVID-19 investigating the lockdown effect
title A SIQ mathematical model on COVID-19 investigating the lockdown effect
title_full A SIQ mathematical model on COVID-19 investigating the lockdown effect
title_fullStr A SIQ mathematical model on COVID-19 investigating the lockdown effect
title_full_unstemmed A SIQ mathematical model on COVID-19 investigating the lockdown effect
title_short A SIQ mathematical model on COVID-19 investigating the lockdown effect
title_sort siq mathematical model on covid-19 investigating the lockdown effect
topic Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789846/
https://www.ncbi.nlm.nih.gov/pubmed/33437896
http://dx.doi.org/10.1016/j.idm.2020.12.010
work_keys_str_mv AT bhadauriaarchanasingh asiqmathematicalmodeloncovid19investigatingthelockdowneffect
AT pathakrachana asiqmathematicalmodeloncovid19investigatingthelockdowneffect
AT chaudharymanisha asiqmathematicalmodeloncovid19investigatingthelockdowneffect
AT bhadauriaarchanasingh siqmathematicalmodeloncovid19investigatingthelockdowneffect
AT pathakrachana siqmathematicalmodeloncovid19investigatingthelockdowneffect
AT chaudharymanisha siqmathematicalmodeloncovid19investigatingthelockdowneffect