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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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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. |
format | Online Article Text |
id | pubmed-8820367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
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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