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Investigation of time-fractional SIQR Covid-19 mathematical model with fractal-fractional Mittage-Leffler kernel
In this manuscript, we investigate a nonlinear SIQR pandemic model to study the behavior of covid-19 infectious diseases. The susceptible, infected, quarantine and recovered classes with fractal fractional Atangana-Baleanu-Caputo (ABC) derivative is studied. The non-integer order [Formula: see text]...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8771276/ http://dx.doi.org/10.1016/j.aej.2022.01.030 |
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author | Adnan Ali, Amir Rahman, Mati ur Arfan, Muhammad Shah, Zahir Kumam, Poom Deebani, Wejdan |
author_facet | Adnan Ali, Amir Rahman, Mati ur Arfan, Muhammad Shah, Zahir Kumam, Poom Deebani, Wejdan |
author_sort | Adnan |
collection | PubMed |
description | In this manuscript, we investigate a nonlinear SIQR pandemic model to study the behavior of covid-19 infectious diseases. The susceptible, infected, quarantine and recovered classes with fractal fractional Atangana-Baleanu-Caputo (ABC) derivative is studied. The non-integer order [Formula: see text] and fractal dimension [Formula: see text] in the proposed system lie between 0 and 1. The existence and uniqueness of the solution for the considered model are studied using fixed point theory, while Ulam-Hyers stability is applied to study the stability analysis of the proposed model. Further, the Adams-Bashforth numerical technique is applied to calculate an approximate solution of the model. It is observed that the analytical and numerical calculations for different fractional-order and fractal dimensions confirm better converging effects of the dynamics as compared to an integer order. |
format | Online Article Text |
id | pubmed-8771276 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87712762022-01-20 Investigation of time-fractional SIQR Covid-19 mathematical model with fractal-fractional Mittage-Leffler kernel Adnan Ali, Amir Rahman, Mati ur Arfan, Muhammad Shah, Zahir Kumam, Poom Deebani, Wejdan Alexandria Engineering Journal Article In this manuscript, we investigate a nonlinear SIQR pandemic model to study the behavior of covid-19 infectious diseases. The susceptible, infected, quarantine and recovered classes with fractal fractional Atangana-Baleanu-Caputo (ABC) derivative is studied. The non-integer order [Formula: see text] and fractal dimension [Formula: see text] in the proposed system lie between 0 and 1. The existence and uniqueness of the solution for the considered model are studied using fixed point theory, while Ulam-Hyers stability is applied to study the stability analysis of the proposed model. Further, the Adams-Bashforth numerical technique is applied to calculate an approximate solution of the model. It is observed that the analytical and numerical calculations for different fractional-order and fractal dimensions confirm better converging effects of the dynamics as compared to an integer order. THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. 2022-10 2022-01-20 /pmc/articles/PMC8771276/ http://dx.doi.org/10.1016/j.aej.2022.01.030 Text en © 2022 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 Adnan Ali, Amir Rahman, Mati ur Arfan, Muhammad Shah, Zahir Kumam, Poom Deebani, Wejdan Investigation of time-fractional SIQR Covid-19 mathematical model with fractal-fractional Mittage-Leffler kernel |
title | Investigation of time-fractional SIQR Covid-19 mathematical model with fractal-fractional Mittage-Leffler kernel |
title_full | Investigation of time-fractional SIQR Covid-19 mathematical model with fractal-fractional Mittage-Leffler kernel |
title_fullStr | Investigation of time-fractional SIQR Covid-19 mathematical model with fractal-fractional Mittage-Leffler kernel |
title_full_unstemmed | Investigation of time-fractional SIQR Covid-19 mathematical model with fractal-fractional Mittage-Leffler kernel |
title_short | Investigation of time-fractional SIQR Covid-19 mathematical model with fractal-fractional Mittage-Leffler kernel |
title_sort | investigation of time-fractional siqr covid-19 mathematical model with fractal-fractional mittage-leffler kernel |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8771276/ http://dx.doi.org/10.1016/j.aej.2022.01.030 |
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