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Mathematical analysis of an extended SEIR model of COVID-19 using the ABC-fractional operator
This paper aims to suggest a time-fractional [Formula: see text] model of the COVID-19 pandemic disease in the sense of the Atangana–Baleanu–Caputo operator. The proposed model consists of six compartments: susceptible, exposed, infected (asymptomatic and symptomatic), hospitalized and recovered pop...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851883/ https://www.ncbi.nlm.nih.gov/pubmed/35194306 http://dx.doi.org/10.1016/j.matcom.2022.02.009 |
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author | Sintunavarat, Wutiphol Turab, Ali |
author_facet | Sintunavarat, Wutiphol Turab, Ali |
author_sort | Sintunavarat, Wutiphol |
collection | PubMed |
description | This paper aims to suggest a time-fractional [Formula: see text] model of the COVID-19 pandemic disease in the sense of the Atangana–Baleanu–Caputo operator. The proposed model consists of six compartments: susceptible, exposed, infected (asymptomatic and symptomatic), hospitalized and recovered population. We prove the existence and uniqueness of solutions to the proposed model via fixed point theory. Furthermore, a stability analysis in the context of Ulam–Hyers and the generalized Ulam–Hyers criterion is also discussed. For the approximate solution of the suggested model, we use a well-known and efficient numerical technique, namely the Toufik–Atangana numerical scheme, which validates the importance of arbitrary order derivative [Formula: see text] and our obtained theoretical results. Finally, a concise analysis of the simulation is proposed to explain the spread of the infection in society. |
format | Online Article Text |
id | pubmed-8851883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88518832022-02-18 Mathematical analysis of an extended SEIR model of COVID-19 using the ABC-fractional operator Sintunavarat, Wutiphol Turab, Ali Math Comput Simul Original Articles This paper aims to suggest a time-fractional [Formula: see text] model of the COVID-19 pandemic disease in the sense of the Atangana–Baleanu–Caputo operator. The proposed model consists of six compartments: susceptible, exposed, infected (asymptomatic and symptomatic), hospitalized and recovered population. We prove the existence and uniqueness of solutions to the proposed model via fixed point theory. Furthermore, a stability analysis in the context of Ulam–Hyers and the generalized Ulam–Hyers criterion is also discussed. For the approximate solution of the suggested model, we use a well-known and efficient numerical technique, namely the Toufik–Atangana numerical scheme, which validates the importance of arbitrary order derivative [Formula: see text] and our obtained theoretical results. Finally, a concise analysis of the simulation is proposed to explain the spread of the infection in society. International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. 2022-08 2022-02-17 /pmc/articles/PMC8851883/ /pubmed/35194306 http://dx.doi.org/10.1016/j.matcom.2022.02.009 Text en © 2022 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved. 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 | Original Articles Sintunavarat, Wutiphol Turab, Ali Mathematical analysis of an extended SEIR model of COVID-19 using the ABC-fractional operator |
title | Mathematical analysis of an extended SEIR model of COVID-19 using the ABC-fractional operator |
title_full | Mathematical analysis of an extended SEIR model of COVID-19 using the ABC-fractional operator |
title_fullStr | Mathematical analysis of an extended SEIR model of COVID-19 using the ABC-fractional operator |
title_full_unstemmed | Mathematical analysis of an extended SEIR model of COVID-19 using the ABC-fractional operator |
title_short | Mathematical analysis of an extended SEIR model of COVID-19 using the ABC-fractional operator |
title_sort | mathematical analysis of an extended seir model of covid-19 using the abc-fractional operator |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851883/ https://www.ncbi.nlm.nih.gov/pubmed/35194306 http://dx.doi.org/10.1016/j.matcom.2022.02.009 |
work_keys_str_mv | AT sintunavaratwutiphol mathematicalanalysisofanextendedseirmodelofcovid19usingtheabcfractionaloperator AT turabali mathematicalanalysisofanextendedseirmodelofcovid19usingtheabcfractionaloperator |