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A mathematical model for SARS-CoV-2 in variable-order fractional derivative

A new coronavirus mathematical with hospitalization is considered with the consideration of the real cases from March 06, 2021 till the end of April 30, 2021. The essential mathematical results for the model are presented. We show the model stability when [Formula: see text] in the absence of infect...

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Autores principales: DarAssi, Mahmoud H., Safi, Mohammad A., Khan, Muhammad Altaf, Beigi, Alireza, Aly, Ayman A., Alshahrani, Mohammad Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8820367/
https://www.ncbi.nlm.nih.gov/pubmed/35154580
http://dx.doi.org/10.1140/epjs/s11734-022-00458-0
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author DarAssi, Mahmoud H.
Safi, Mohammad A.
Khan, Muhammad Altaf
Beigi, Alireza
Aly, Ayman A.
Alshahrani, Mohammad Y.
author_facet DarAssi, Mahmoud H.
Safi, Mohammad A.
Khan, Muhammad Altaf
Beigi, Alireza
Aly, Ayman A.
Alshahrani, Mohammad Y.
author_sort DarAssi, Mahmoud H.
collection PubMed
description A new coronavirus mathematical with hospitalization is considered with the consideration of the real cases from March 06, 2021 till the end of April 30, 2021. The essential mathematical results for the model are presented. We show the model stability when [Formula: see text] in the absence of infection. We show that the system is stable locally asymptotically when [Formula: see text] at infection free state. We also show that the system is globally asymptotically stable in the disease absence when [Formula: see text] . Data have been used to fit accurately to the model and found the estimated basic reproduction number to be [Formula: see text] . Some graphical results for the effective parameters are drawn for the disease elimination. In addition, a variable-order model is introduced, and so as to handle the outbreak effectively and efficiently, a genetic algorithm is used to produce high-quality control. Numerical simulations clearly show that decision-makers may develop helpful and practical strategies to manage future waves by implementing optimum policies.
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spelling pubmed-88203672022-02-08 A mathematical model for SARS-CoV-2 in variable-order fractional derivative DarAssi, Mahmoud H. Safi, Mohammad A. Khan, Muhammad Altaf Beigi, Alireza Aly, Ayman A. Alshahrani, Mohammad Y. Eur Phys J Spec Top Regular Article A new coronavirus mathematical with hospitalization is considered with the consideration of the real cases from March 06, 2021 till the end of April 30, 2021. The essential mathematical results for the model are presented. We show the model stability when [Formula: see text] in the absence of infection. We show that the system is stable locally asymptotically when [Formula: see text] at infection free state. We also show that the system is globally asymptotically stable in the disease absence when [Formula: see text] . Data have been used to fit accurately to the model and found the estimated basic reproduction number to be [Formula: see text] . Some graphical results for the effective parameters are drawn for the disease elimination. In addition, a variable-order model is introduced, and so as to handle the outbreak effectively and efficiently, a genetic algorithm is used to produce high-quality control. Numerical simulations clearly show that decision-makers may develop helpful and practical strategies to manage future waves by implementing optimum policies. Springer Berlin Heidelberg 2022-02-03 2022 /pmc/articles/PMC8820367/ /pubmed/35154580 http://dx.doi.org/10.1140/epjs/s11734-022-00458-0 Text en © The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Regular Article
DarAssi, Mahmoud H.
Safi, Mohammad A.
Khan, Muhammad Altaf
Beigi, Alireza
Aly, Ayman A.
Alshahrani, Mohammad Y.
A mathematical model for SARS-CoV-2 in variable-order fractional derivative
title A mathematical model for SARS-CoV-2 in variable-order fractional derivative
title_full A mathematical model for SARS-CoV-2 in variable-order fractional derivative
title_fullStr A mathematical model for SARS-CoV-2 in variable-order fractional derivative
title_full_unstemmed A mathematical model for SARS-CoV-2 in variable-order fractional derivative
title_short A mathematical model for SARS-CoV-2 in variable-order fractional derivative
title_sort mathematical model for sars-cov-2 in variable-order fractional derivative
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8820367/
https://www.ncbi.nlm.nih.gov/pubmed/35154580
http://dx.doi.org/10.1140/epjs/s11734-022-00458-0
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