Sensitivity analysis and optimal control of COVID-19 dynamics based on SEIQR model

It is of great curiosity to observe the effects of prevention methods and the magnitudes of the outbreak including epidemic prediction, at the onset of an epidemic. To deal with COVID-19 Pandemic, an SEIQR model has been designed. Analytical study of the model consists of the calculation of the basi...

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Autores principales: Hussain, Takasar, Ozair, Muhammad, Ali, Farhad, Rehman, Sajid ur, Assiri, Taghreed A., Mahmoud, Emad E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889458/
https://www.ncbi.nlm.nih.gov/pubmed/33623733
http://dx.doi.org/10.1016/j.rinp.2021.103956
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author Hussain, Takasar
Ozair, Muhammad
Ali, Farhad
Rehman, Sajid ur
Assiri, Taghreed A.
Mahmoud, Emad E.
author_facet Hussain, Takasar
Ozair, Muhammad
Ali, Farhad
Rehman, Sajid ur
Assiri, Taghreed A.
Mahmoud, Emad E.
author_sort Hussain, Takasar
collection PubMed
description It is of great curiosity to observe the effects of prevention methods and the magnitudes of the outbreak including epidemic prediction, at the onset of an epidemic. To deal with COVID-19 Pandemic, an SEIQR model has been designed. Analytical study of the model consists of the calculation of the basic reproduction number and the constant level of disease absent and disease present equilibrium. The model also explores number of cases and the predicted outcomes are in line with the cases registered. By parameters calibration, new cases in Pakistan are also predicted. The number of patients at the current level and the permanent level of COVID-19 cases are also calculated analytically and through simulations. The future situation has also been discussed, which could happen if precautionary restrictions are adopted.
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spelling pubmed-78894582021-02-18 Sensitivity analysis and optimal control of COVID-19 dynamics based on SEIQR model Hussain, Takasar Ozair, Muhammad Ali, Farhad Rehman, Sajid ur Assiri, Taghreed A. Mahmoud, Emad E. Results Phys Article It is of great curiosity to observe the effects of prevention methods and the magnitudes of the outbreak including epidemic prediction, at the onset of an epidemic. To deal with COVID-19 Pandemic, an SEIQR model has been designed. Analytical study of the model consists of the calculation of the basic reproduction number and the constant level of disease absent and disease present equilibrium. The model also explores number of cases and the predicted outcomes are in line with the cases registered. By parameters calibration, new cases in Pakistan are also predicted. The number of patients at the current level and the permanent level of COVID-19 cases are also calculated analytically and through simulations. The future situation has also been discussed, which could happen if precautionary restrictions are adopted. The Authors. Published by Elsevier B.V. 2021-03 2021-02-18 /pmc/articles/PMC7889458/ /pubmed/33623733 http://dx.doi.org/10.1016/j.rinp.2021.103956 Text en © 2021 The Authors 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
Hussain, Takasar
Ozair, Muhammad
Ali, Farhad
Rehman, Sajid ur
Assiri, Taghreed A.
Mahmoud, Emad E.
Sensitivity analysis and optimal control of COVID-19 dynamics based on SEIQR model
title Sensitivity analysis and optimal control of COVID-19 dynamics based on SEIQR model
title_full Sensitivity analysis and optimal control of COVID-19 dynamics based on SEIQR model
title_fullStr Sensitivity analysis and optimal control of COVID-19 dynamics based on SEIQR model
title_full_unstemmed Sensitivity analysis and optimal control of COVID-19 dynamics based on SEIQR model
title_short Sensitivity analysis and optimal control of COVID-19 dynamics based on SEIQR model
title_sort sensitivity analysis and optimal control of covid-19 dynamics based on seiqr model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889458/
https://www.ncbi.nlm.nih.gov/pubmed/33623733
http://dx.doi.org/10.1016/j.rinp.2021.103956
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