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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2021
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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 |
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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 |
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