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On study of fractional order epidemic model of COVID-19 under non-singular Mittag–Leffler kernel
This paper investigates the analysis of the fraction mathematical model of the novel coronavirus (COVID-19), which is indeed a source of threat all over the globe. This paper deals with the transmission mechanism by some affected parameters in the problem. The said study is carried out by the consid...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216059/ https://www.ncbi.nlm.nih.gov/pubmed/34189025 http://dx.doi.org/10.1016/j.rinp.2021.104402 |
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author | Alzaid, Sara Salem Alkahtani, Badr Saad T. |
author_facet | Alzaid, Sara Salem Alkahtani, Badr Saad T. |
author_sort | Alzaid, Sara Salem |
collection | PubMed |
description | This paper investigates the analysis of the fraction mathematical model of the novel coronavirus (COVID-19), which is indeed a source of threat all over the globe. This paper deals with the transmission mechanism by some affected parameters in the problem. The said study is carried out by the consideration of a fractional-order epidemic model describing the dynamics of COVID-19 under a non-singular kernel type of derivative. The concerned model examine via non-singular fractional-order derivative known as Atangana-Baleanu derivative in Caputo sense (ABC). The problem analyzes for qualitative analysis and determines at least one solution by applying the approach of fixed point theory. The uniqueness of the solution is derived by the Banach contraction theorem. For iterative solution, the technique of iterative fractional-order Adams–Bashforth scheme is applied. Numerical simulation for the proposed scheme is performed at various fractional-order lying between 0, 1 and for integer-order 1. We also compare the compartmental quantities of the said model at two different effective contact rates of [Formula: see text]. All the compartments show convergence and stability with growing time. The simulation of the iterative techniques is also compared with the Laplace Adomian decomposition method (LADM). Good comparative results for the whole density have been achieved by different fractional orders and obtain the stability faster at the low fractional orders while slowly at higher-order. |
format | Online Article Text |
id | pubmed-8216059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82160592021-06-25 On study of fractional order epidemic model of COVID-19 under non-singular Mittag–Leffler kernel Alzaid, Sara Salem Alkahtani, Badr Saad T. Results Phys Article This paper investigates the analysis of the fraction mathematical model of the novel coronavirus (COVID-19), which is indeed a source of threat all over the globe. This paper deals with the transmission mechanism by some affected parameters in the problem. The said study is carried out by the consideration of a fractional-order epidemic model describing the dynamics of COVID-19 under a non-singular kernel type of derivative. The concerned model examine via non-singular fractional-order derivative known as Atangana-Baleanu derivative in Caputo sense (ABC). The problem analyzes for qualitative analysis and determines at least one solution by applying the approach of fixed point theory. The uniqueness of the solution is derived by the Banach contraction theorem. For iterative solution, the technique of iterative fractional-order Adams–Bashforth scheme is applied. Numerical simulation for the proposed scheme is performed at various fractional-order lying between 0, 1 and for integer-order 1. We also compare the compartmental quantities of the said model at two different effective contact rates of [Formula: see text]. All the compartments show convergence and stability with growing time. The simulation of the iterative techniques is also compared with the Laplace Adomian decomposition method (LADM). Good comparative results for the whole density have been achieved by different fractional orders and obtain the stability faster at the low fractional orders while slowly at higher-order. The Authors. Published by Elsevier B.V. 2021-07 2021-06-12 /pmc/articles/PMC8216059/ /pubmed/34189025 http://dx.doi.org/10.1016/j.rinp.2021.104402 Text en © 2021 The Authors 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 Alzaid, Sara Salem Alkahtani, Badr Saad T. On study of fractional order epidemic model of COVID-19 under non-singular Mittag–Leffler kernel |
title | On study of fractional order epidemic model of COVID-19 under non-singular Mittag–Leffler kernel |
title_full | On study of fractional order epidemic model of COVID-19 under non-singular Mittag–Leffler kernel |
title_fullStr | On study of fractional order epidemic model of COVID-19 under non-singular Mittag–Leffler kernel |
title_full_unstemmed | On study of fractional order epidemic model of COVID-19 under non-singular Mittag–Leffler kernel |
title_short | On study of fractional order epidemic model of COVID-19 under non-singular Mittag–Leffler kernel |
title_sort | on study of fractional order epidemic model of covid-19 under non-singular mittag–leffler kernel |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216059/ https://www.ncbi.nlm.nih.gov/pubmed/34189025 http://dx.doi.org/10.1016/j.rinp.2021.104402 |
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