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On nonlinear classical and fractional order dynamical system addressing COVID-19
This work studies a new SEIR type mathematical model for SARS-CoV-2. We show how immigration, protection, death rate, exposure, cure rate and interaction of infected people with healthy people affect the population. Our model has four classes including susceptible, exposed, infected and recovered re...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985623/ https://www.ncbi.nlm.nih.gov/pubmed/33777668 http://dx.doi.org/10.1016/j.rinp.2021.104069 |
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author | Shah, Kamal Din, Rahim Ud Deebani, Wejdan Kumam, Poom Shah, Zahir |
author_facet | Shah, Kamal Din, Rahim Ud Deebani, Wejdan Kumam, Poom Shah, Zahir |
author_sort | Shah, Kamal |
collection | PubMed |
description | This work studies a new SEIR type mathematical model for SARS-CoV-2. We show how immigration, protection, death rate, exposure, cure rate and interaction of infected people with healthy people affect the population. Our model has four classes including susceptible, exposed, infected and recovered respectively. Here, we find the basic reproduction number and local stability through jacobean matrix. Lyapunov function theory is used to calculate the global stability for the problem under investigation. Also an attempt is made to derive some numerical interpretation under fractional derivative by using fractional order nonstandard finite difference (NSFD) sachem. The graphical presentations are given for some real data. |
format | Online Article Text |
id | pubmed-7985623 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79856232021-03-23 On nonlinear classical and fractional order dynamical system addressing COVID-19 Shah, Kamal Din, Rahim Ud Deebani, Wejdan Kumam, Poom Shah, Zahir Results Phys Article This work studies a new SEIR type mathematical model for SARS-CoV-2. We show how immigration, protection, death rate, exposure, cure rate and interaction of infected people with healthy people affect the population. Our model has four classes including susceptible, exposed, infected and recovered respectively. Here, we find the basic reproduction number and local stability through jacobean matrix. Lyapunov function theory is used to calculate the global stability for the problem under investigation. Also an attempt is made to derive some numerical interpretation under fractional derivative by using fractional order nonstandard finite difference (NSFD) sachem. The graphical presentations are given for some real data. The Author(s). Published by Elsevier B.V. 2021-05 2021-03-23 /pmc/articles/PMC7985623/ /pubmed/33777668 http://dx.doi.org/10.1016/j.rinp.2021.104069 Text en © 2021 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 Din, Rahim Ud Deebani, Wejdan Kumam, Poom Shah, Zahir On nonlinear classical and fractional order dynamical system addressing COVID-19 |
title | On nonlinear classical and fractional order dynamical system addressing COVID-19 |
title_full | On nonlinear classical and fractional order dynamical system addressing COVID-19 |
title_fullStr | On nonlinear classical and fractional order dynamical system addressing COVID-19 |
title_full_unstemmed | On nonlinear classical and fractional order dynamical system addressing COVID-19 |
title_short | On nonlinear classical and fractional order dynamical system addressing COVID-19 |
title_sort | on nonlinear classical and fractional order dynamical system addressing covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985623/ https://www.ncbi.nlm.nih.gov/pubmed/33777668 http://dx.doi.org/10.1016/j.rinp.2021.104069 |
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