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Preventive control strategy on second wave of Covid-19 pandemic model incorporating lock-down effect
This study presents an optimal control strategy through a mathematical model of the Covid-19 outbreak without lock-down. The pandemic model analyses the lock-down effect without control strategy based on the current scenario of second wave data to control the rapid spread of the virus. The pandemic...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747945/ http://dx.doi.org/10.1016/j.aej.2021.12.066 |
_version_ | 1784630954479845376 |
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author | Basu, Sanjoy Prem Kumar, R. Santra, P.K. Mahapatra, G.S. Elsadany, A.A. |
author_facet | Basu, Sanjoy Prem Kumar, R. Santra, P.K. Mahapatra, G.S. Elsadany, A.A. |
author_sort | Basu, Sanjoy |
collection | PubMed |
description | This study presents an optimal control strategy through a mathematical model of the Covid-19 outbreak without lock-down. The pandemic model analyses the lock-down effect without control strategy based on the current scenario of second wave data to control the rapid spread of the virus. The pandemic model has been discussed with respect to the basic reproduction number and stability analysis of disease-free and endemic equilibrium. A new optimal control problem with treatment is framed to minimize the vulnerable situation of the second wave. This system is applied to study the effects of vaccines and treatment controls. Numerical solutions and the graphical presentation of the results predict the fate of India’s second wave situation on account of the control strategy. Lastly, a comparative study with control and without control has been analysed for the exposed phase, infective phase, and recovery phase to understand the effectiveness of the controls. This model is used to estimate the total number of infected and active cases, deaths, and recoveries in order to control the disease using this system and studying the effects of vaccines and treatment controls. |
format | Online Article Text |
id | pubmed-8747945 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87479452022-01-11 Preventive control strategy on second wave of Covid-19 pandemic model incorporating lock-down effect Basu, Sanjoy Prem Kumar, R. Santra, P.K. Mahapatra, G.S. Elsadany, A.A. Alexandria Engineering Journal Article This study presents an optimal control strategy through a mathematical model of the Covid-19 outbreak without lock-down. The pandemic model analyses the lock-down effect without control strategy based on the current scenario of second wave data to control the rapid spread of the virus. The pandemic model has been discussed with respect to the basic reproduction number and stability analysis of disease-free and endemic equilibrium. A new optimal control problem with treatment is framed to minimize the vulnerable situation of the second wave. This system is applied to study the effects of vaccines and treatment controls. Numerical solutions and the graphical presentation of the results predict the fate of India’s second wave situation on account of the control strategy. Lastly, a comparative study with control and without control has been analysed for the exposed phase, infective phase, and recovery phase to understand the effectiveness of the controls. This model is used to estimate the total number of infected and active cases, deaths, and recoveries in order to control the disease using this system and studying the effects of vaccines and treatment controls. THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. 2022-09 2022-01-11 /pmc/articles/PMC8747945/ http://dx.doi.org/10.1016/j.aej.2021.12.066 Text en © 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Basu, Sanjoy Prem Kumar, R. Santra, P.K. Mahapatra, G.S. Elsadany, A.A. Preventive control strategy on second wave of Covid-19 pandemic model incorporating lock-down effect |
title | Preventive control strategy on second wave of Covid-19 pandemic model incorporating lock-down effect |
title_full | Preventive control strategy on second wave of Covid-19 pandemic model incorporating lock-down effect |
title_fullStr | Preventive control strategy on second wave of Covid-19 pandemic model incorporating lock-down effect |
title_full_unstemmed | Preventive control strategy on second wave of Covid-19 pandemic model incorporating lock-down effect |
title_short | Preventive control strategy on second wave of Covid-19 pandemic model incorporating lock-down effect |
title_sort | preventive control strategy on second wave of covid-19 pandemic model incorporating lock-down effect |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747945/ http://dx.doi.org/10.1016/j.aej.2021.12.066 |
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