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A novel mathematical approach of COVID-19 with non-singular fractional derivative
We analyze a proposition which considers new mathematical model of COVID-19 based on fractional ordinary differential equation. A non-singular fractional derivative with Mittag-Leffler kernel has been used and the numerical approximation formula of fractional derivative of function [Formula: see tex...
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/PMC7327473/ https://www.ncbi.nlm.nih.gov/pubmed/32834602 http://dx.doi.org/10.1016/j.chaos.2020.110048 |
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author | Kumar, Sachin Cao, Jinde Abdel-Aty, Mahmoud |
author_facet | Kumar, Sachin Cao, Jinde Abdel-Aty, Mahmoud |
author_sort | Kumar, Sachin |
collection | PubMed |
description | We analyze a proposition which considers new mathematical model of COVID-19 based on fractional ordinary differential equation. A non-singular fractional derivative with Mittag-Leffler kernel has been used and the numerical approximation formula of fractional derivative of function [Formula: see text] is obtained. A new operational matrix of fractional differentiation on domain [0, a], a ≥ 1, a ∈ N by using the extended Legendre polynomial on larger domain has been developed. It is shown that the new mathematical model of COVID-19 can be solved using Legendre collocation method. Also, the accuracy and validity of our developed operational matrix have been tested. Finally, we provide numerical evidence and theoretical arguments that our new model can estimate the output of the exposed, infected and asymptotic carrier with higher fidelity than the previous models, thereby motivating the use of the presented model as a standard tool for examining the effect of contact rate and transmissibility multiple on number of infected cases are depicted with graphs. |
format | Online Article Text |
id | pubmed-7327473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73274732020-07-01 A novel mathematical approach of COVID-19 with non-singular fractional derivative Kumar, Sachin Cao, Jinde Abdel-Aty, Mahmoud Chaos Solitons Fractals Article We analyze a proposition which considers new mathematical model of COVID-19 based on fractional ordinary differential equation. A non-singular fractional derivative with Mittag-Leffler kernel has been used and the numerical approximation formula of fractional derivative of function [Formula: see text] is obtained. A new operational matrix of fractional differentiation on domain [0, a], a ≥ 1, a ∈ N by using the extended Legendre polynomial on larger domain has been developed. It is shown that the new mathematical model of COVID-19 can be solved using Legendre collocation method. Also, the accuracy and validity of our developed operational matrix have been tested. Finally, we provide numerical evidence and theoretical arguments that our new model can estimate the output of the exposed, infected and asymptotic carrier with higher fidelity than the previous models, thereby motivating the use of the presented model as a standard tool for examining the effect of contact rate and transmissibility multiple on number of infected cases are depicted with graphs. Elsevier Ltd. 2020-10 2020-07-01 /pmc/articles/PMC7327473/ /pubmed/32834602 http://dx.doi.org/10.1016/j.chaos.2020.110048 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 | Article Kumar, Sachin Cao, Jinde Abdel-Aty, Mahmoud A novel mathematical approach of COVID-19 with non-singular fractional derivative |
title | A novel mathematical approach of COVID-19 with non-singular fractional derivative |
title_full | A novel mathematical approach of COVID-19 with non-singular fractional derivative |
title_fullStr | A novel mathematical approach of COVID-19 with non-singular fractional derivative |
title_full_unstemmed | A novel mathematical approach of COVID-19 with non-singular fractional derivative |
title_short | A novel mathematical approach of COVID-19 with non-singular fractional derivative |
title_sort | novel mathematical approach of covid-19 with non-singular fractional derivative |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327473/ https://www.ncbi.nlm.nih.gov/pubmed/32834602 http://dx.doi.org/10.1016/j.chaos.2020.110048 |
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