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Assessing the potential impact of COVID-19 Omicron variant: Insight through a fractional piecewise model

We consider a new mathematical model for the COVID-19 disease with Omicron variant mutation. We formulate in details the modeling of the problem with omicron variant in classical differential equations. We use the definition of the Atangana–Baleanu derivative and obtain the extended fractional versi...

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Autores principales: Li, Xiao-Ping, DarAssi, Mahmoud H., Khan, Muhammad Altaf, Chukwu, C.W., Alshahrani, Mohammad Y., Shahrani, Mesfer Al, Riaz, Muhammad Bilal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9150900/
https://www.ncbi.nlm.nih.gov/pubmed/35663799
http://dx.doi.org/10.1016/j.rinp.2022.105652
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author Li, Xiao-Ping
DarAssi, Mahmoud H.
Khan, Muhammad Altaf
Chukwu, C.W.
Alshahrani, Mohammad Y.
Shahrani, Mesfer Al
Riaz, Muhammad Bilal
author_facet Li, Xiao-Ping
DarAssi, Mahmoud H.
Khan, Muhammad Altaf
Chukwu, C.W.
Alshahrani, Mohammad Y.
Shahrani, Mesfer Al
Riaz, Muhammad Bilal
author_sort Li, Xiao-Ping
collection PubMed
description We consider a new mathematical model for the COVID-19 disease with Omicron variant mutation. We formulate in details the modeling of the problem with omicron variant in classical differential equations. We use the definition of the Atangana–Baleanu derivative and obtain the extended fractional version of the omicron model. We study mathematical results for the fractional model and show the local asymptotical stability of the model for infection-free case if [Formula: see text]. We show the global asymptotically stable of the model for the disease free case when [Formula: see text]. We show the existence and uniqueness of solution of the fractional model. We further extend the fractional order model into piecewise differential equation system and give a numerical algorithm for their numerical simulation. We consider the real cases of COVID-19 in South Africa of the third wave March 2021–Sep 2021 and estimate the model parameters and get [Formula: see text]. The real parameters values are used to show the graphical results for the fractional and piecewise model.
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spelling pubmed-91509002022-05-31 Assessing the potential impact of COVID-19 Omicron variant: Insight through a fractional piecewise model Li, Xiao-Ping DarAssi, Mahmoud H. Khan, Muhammad Altaf Chukwu, C.W. Alshahrani, Mohammad Y. Shahrani, Mesfer Al Riaz, Muhammad Bilal Results Phys Article We consider a new mathematical model for the COVID-19 disease with Omicron variant mutation. We formulate in details the modeling of the problem with omicron variant in classical differential equations. We use the definition of the Atangana–Baleanu derivative and obtain the extended fractional version of the omicron model. We study mathematical results for the fractional model and show the local asymptotical stability of the model for infection-free case if [Formula: see text]. We show the global asymptotically stable of the model for the disease free case when [Formula: see text]. We show the existence and uniqueness of solution of the fractional model. We further extend the fractional order model into piecewise differential equation system and give a numerical algorithm for their numerical simulation. We consider the real cases of COVID-19 in South Africa of the third wave March 2021–Sep 2021 and estimate the model parameters and get [Formula: see text]. The real parameters values are used to show the graphical results for the fractional and piecewise model. The Author(s). Published by Elsevier B.V. 2022-07 2022-05-30 /pmc/articles/PMC9150900/ /pubmed/35663799 http://dx.doi.org/10.1016/j.rinp.2022.105652 Text en © 2022 The Author(s) 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
Li, Xiao-Ping
DarAssi, Mahmoud H.
Khan, Muhammad Altaf
Chukwu, C.W.
Alshahrani, Mohammad Y.
Shahrani, Mesfer Al
Riaz, Muhammad Bilal
Assessing the potential impact of COVID-19 Omicron variant: Insight through a fractional piecewise model
title Assessing the potential impact of COVID-19 Omicron variant: Insight through a fractional piecewise model
title_full Assessing the potential impact of COVID-19 Omicron variant: Insight through a fractional piecewise model
title_fullStr Assessing the potential impact of COVID-19 Omicron variant: Insight through a fractional piecewise model
title_full_unstemmed Assessing the potential impact of COVID-19 Omicron variant: Insight through a fractional piecewise model
title_short Assessing the potential impact of COVID-19 Omicron variant: Insight through a fractional piecewise model
title_sort assessing the potential impact of covid-19 omicron variant: insight through a fractional piecewise model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9150900/
https://www.ncbi.nlm.nih.gov/pubmed/35663799
http://dx.doi.org/10.1016/j.rinp.2022.105652
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