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Fractal-Fractional Mathematical Model Addressing the Situation of Corona Virus in Pakistan
This work is the consideration of a fractal fractional mathematical model on the transmission and control of corona virus (COVID-19), in which the total population of an infected area is divided into susceptible, infected and recovered classes. We consider a fractal-fractional order [Formula: see te...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658553/ https://www.ncbi.nlm.nih.gov/pubmed/33200064 http://dx.doi.org/10.1016/j.rinp.2020.103560 |
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author | Shah, Kamal Arfan, Muhammad Mahariq, Ibrahim Ahmadian, Ali Salahshour, Soheil Ferrara, Massimiliano |
author_facet | Shah, Kamal Arfan, Muhammad Mahariq, Ibrahim Ahmadian, Ali Salahshour, Soheil Ferrara, Massimiliano |
author_sort | Shah, Kamal |
collection | PubMed |
description | This work is the consideration of a fractal fractional mathematical model on the transmission and control of corona virus (COVID-19), in which the total population of an infected area is divided into susceptible, infected and recovered classes. We consider a fractal-fractional order [Formula: see text] type model for investigation of Covid-19. To realize the transmission and control of corona virus in a much better way, first we study the stability of the corresponding deterministic model using next generation matrix along with basic reproduction number. After this, we study the qualitative analysis using “fixed point theory” approach. Next, we use fractional Adams-Bashforth approach for investigation of approximate solution to the considered model. At the end numerical simulation are been given by matlab to provide the validity of mathematical system having the arbitrary order and fractal dimension. |
format | Online Article Text |
id | pubmed-7658553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76585532020-11-12 Fractal-Fractional Mathematical Model Addressing the Situation of Corona Virus in Pakistan Shah, Kamal Arfan, Muhammad Mahariq, Ibrahim Ahmadian, Ali Salahshour, Soheil Ferrara, Massimiliano Results Phys Article This work is the consideration of a fractal fractional mathematical model on the transmission and control of corona virus (COVID-19), in which the total population of an infected area is divided into susceptible, infected and recovered classes. We consider a fractal-fractional order [Formula: see text] type model for investigation of Covid-19. To realize the transmission and control of corona virus in a much better way, first we study the stability of the corresponding deterministic model using next generation matrix along with basic reproduction number. After this, we study the qualitative analysis using “fixed point theory” approach. Next, we use fractional Adams-Bashforth approach for investigation of approximate solution to the considered model. At the end numerical simulation are been given by matlab to provide the validity of mathematical system having the arbitrary order and fractal dimension. The Author(s). Published by Elsevier B.V. 2020-12 2020-11-12 /pmc/articles/PMC7658553/ /pubmed/33200064 http://dx.doi.org/10.1016/j.rinp.2020.103560 Text en © 2020 The Author(s) 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 Shah, Kamal Arfan, Muhammad Mahariq, Ibrahim Ahmadian, Ali Salahshour, Soheil Ferrara, Massimiliano Fractal-Fractional Mathematical Model Addressing the Situation of Corona Virus in Pakistan |
title | Fractal-Fractional Mathematical Model Addressing the Situation of Corona Virus in Pakistan |
title_full | Fractal-Fractional Mathematical Model Addressing the Situation of Corona Virus in Pakistan |
title_fullStr | Fractal-Fractional Mathematical Model Addressing the Situation of Corona Virus in Pakistan |
title_full_unstemmed | Fractal-Fractional Mathematical Model Addressing the Situation of Corona Virus in Pakistan |
title_short | Fractal-Fractional Mathematical Model Addressing the Situation of Corona Virus in Pakistan |
title_sort | fractal-fractional mathematical model addressing the situation of corona virus in pakistan |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658553/ https://www.ncbi.nlm.nih.gov/pubmed/33200064 http://dx.doi.org/10.1016/j.rinp.2020.103560 |
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