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Fractional order mathematical modeling of COVID-19 transmission
In this article, the mathematical model with different compartments for the transmission dynamics of coronavirus-19 disease (COVID-19) is presented under the fractional-order derivative. Some results regarding the existence of at least one solution through fixed point results are derived. Then for t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7466947/ https://www.ncbi.nlm.nih.gov/pubmed/32905156 http://dx.doi.org/10.1016/j.chaos.2020.110256 |
_version_ | 1783577920334200832 |
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author | Ahmad, Shabir Ullah, Aman Al-Mdallal, Qasem M. Khan, Hasib Shah, Kamal Khan, Aziz |
author_facet | Ahmad, Shabir Ullah, Aman Al-Mdallal, Qasem M. Khan, Hasib Shah, Kamal Khan, Aziz |
author_sort | Ahmad, Shabir |
collection | PubMed |
description | In this article, the mathematical model with different compartments for the transmission dynamics of coronavirus-19 disease (COVID-19) is presented under the fractional-order derivative. Some results regarding the existence of at least one solution through fixed point results are derived. Then for the concerned approximate solution, the modified Euler method for fractional-order differential equations (FODEs) is utilized. Initially, we simulate the results by using some available data for different fractional-order to show the appropriateness of the proposed method. Further, we compare our results with some reported real data against confirmed infected and death cases per day for the initial 67 days in Wuhan city. |
format | Online Article Text |
id | pubmed-7466947 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74669472020-09-02 Fractional order mathematical modeling of COVID-19 transmission Ahmad, Shabir Ullah, Aman Al-Mdallal, Qasem M. Khan, Hasib Shah, Kamal Khan, Aziz Chaos Solitons Fractals Frontiers In this article, the mathematical model with different compartments for the transmission dynamics of coronavirus-19 disease (COVID-19) is presented under the fractional-order derivative. Some results regarding the existence of at least one solution through fixed point results are derived. Then for the concerned approximate solution, the modified Euler method for fractional-order differential equations (FODEs) is utilized. Initially, we simulate the results by using some available data for different fractional-order to show the appropriateness of the proposed method. Further, we compare our results with some reported real data against confirmed infected and death cases per day for the initial 67 days in Wuhan city. Elsevier Ltd. 2020-10 2020-09-02 /pmc/articles/PMC7466947/ /pubmed/32905156 http://dx.doi.org/10.1016/j.chaos.2020.110256 Text en © 2020 Elsevier Ltd. 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 | Frontiers Ahmad, Shabir Ullah, Aman Al-Mdallal, Qasem M. Khan, Hasib Shah, Kamal Khan, Aziz Fractional order mathematical modeling of COVID-19 transmission |
title | Fractional order mathematical modeling of COVID-19 transmission |
title_full | Fractional order mathematical modeling of COVID-19 transmission |
title_fullStr | Fractional order mathematical modeling of COVID-19 transmission |
title_full_unstemmed | Fractional order mathematical modeling of COVID-19 transmission |
title_short | Fractional order mathematical modeling of COVID-19 transmission |
title_sort | fractional order mathematical modeling of covid-19 transmission |
topic | Frontiers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7466947/ https://www.ncbi.nlm.nih.gov/pubmed/32905156 http://dx.doi.org/10.1016/j.chaos.2020.110256 |
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