A numerical and analytical study of SE(Is)(Ih)AR epidemic fractional order COVID-19 model

This article describes the corona virus spread in a population under certain assumptions with the help of a fractional order mathematical model. The fractional order derivative is the well-known fractal fractional operator. We have given the existence results and numerical simulations with the help...

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Autores principales: Khan, Hasib, Begum, Razia, Abdeljawad, Thabet, Khashan, M. Motawi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8204077/
https://www.ncbi.nlm.nih.gov/pubmed/34149836
http://dx.doi.org/10.1186/s13662-021-03447-0
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author Khan, Hasib
Begum, Razia
Abdeljawad, Thabet
Khashan, M. Motawi
author_facet Khan, Hasib
Begum, Razia
Abdeljawad, Thabet
Khashan, M. Motawi
author_sort Khan, Hasib
collection PubMed
description This article describes the corona virus spread in a population under certain assumptions with the help of a fractional order mathematical model. The fractional order derivative is the well-known fractal fractional operator. We have given the existence results and numerical simulations with the help of the given data in the literature. Our results show similar behavior as the classical order ones. This characteristic shows the applicability and usefulness of the derivative and our numerical scheme.
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spelling pubmed-82040772021-06-15 A numerical and analytical study of SE(Is)(Ih)AR epidemic fractional order COVID-19 model Khan, Hasib Begum, Razia Abdeljawad, Thabet Khashan, M. Motawi Adv Differ Equ Research This article describes the corona virus spread in a population under certain assumptions with the help of a fractional order mathematical model. The fractional order derivative is the well-known fractal fractional operator. We have given the existence results and numerical simulations with the help of the given data in the literature. Our results show similar behavior as the classical order ones. This characteristic shows the applicability and usefulness of the derivative and our numerical scheme. Springer International Publishing 2021-06-15 2021 /pmc/articles/PMC8204077/ /pubmed/34149836 http://dx.doi.org/10.1186/s13662-021-03447-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Khan, Hasib
Begum, Razia
Abdeljawad, Thabet
Khashan, M. Motawi
A numerical and analytical study of SE(Is)(Ih)AR epidemic fractional order COVID-19 model
title A numerical and analytical study of SE(Is)(Ih)AR epidemic fractional order COVID-19 model
title_full A numerical and analytical study of SE(Is)(Ih)AR epidemic fractional order COVID-19 model
title_fullStr A numerical and analytical study of SE(Is)(Ih)AR epidemic fractional order COVID-19 model
title_full_unstemmed A numerical and analytical study of SE(Is)(Ih)AR epidemic fractional order COVID-19 model
title_short A numerical and analytical study of SE(Is)(Ih)AR epidemic fractional order COVID-19 model
title_sort numerical and analytical study of se(is)(ih)ar epidemic fractional order covid-19 model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8204077/
https://www.ncbi.nlm.nih.gov/pubmed/34149836
http://dx.doi.org/10.1186/s13662-021-03447-0
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