Dynamic model of COVID-19 and citizens reaction using fractional derivative

This paper presents dynamic model of COVID-19 and citizens reaction from a fraction of the population in Nigeria using fractional derivative. We consider the reported cases from February to June 2020 using fractional derivative. The Stability analysis of the model was carried out and the basic repro...

Descripción completa

Detalles Bibliográficos
Autores principales: Ogunrinde, R.B., Nwajeri, U.K., Fadugba, S.E., Ogunrinde, R.R., Oshinubi, K.I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728429/
http://dx.doi.org/10.1016/j.aej.2020.09.016
_version_ 1783621275022786560
author Ogunrinde, R.B.
Nwajeri, U.K.
Fadugba, S.E.
Ogunrinde, R.R.
Oshinubi, K.I.
author_facet Ogunrinde, R.B.
Nwajeri, U.K.
Fadugba, S.E.
Ogunrinde, R.R.
Oshinubi, K.I.
author_sort Ogunrinde, R.B.
collection PubMed
description This paper presents dynamic model of COVID-19 and citizens reaction from a fraction of the population in Nigeria using fractional derivative. We consider the reported cases from February to June 2020 using fractional derivative. The Stability analysis of the model was carried out and the basic reproduction number was calculated via the next generation matrix. The fractional derivative model was solved numerically and many graphs presented accordingly which could serve as a yard-stick of reducing this menacing virus and policy making.
format Online
Article
Text
id pubmed-7728429
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.
record_format MEDLINE/PubMed
spelling pubmed-77284292020-12-11 Dynamic model of COVID-19 and citizens reaction using fractional derivative Ogunrinde, R.B. Nwajeri, U.K. Fadugba, S.E. Ogunrinde, R.R. Oshinubi, K.I. Alexandria Engineering Journal Article This paper presents dynamic model of COVID-19 and citizens reaction from a fraction of the population in Nigeria using fractional derivative. We consider the reported cases from February to June 2020 using fractional derivative. The Stability analysis of the model was carried out and the basic reproduction number was calculated via the next generation matrix. The fractional derivative model was solved numerically and many graphs presented accordingly which could serve as a yard-stick of reducing this menacing virus and policy making. THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. 2021-04 2020-12-10 /pmc/articles/PMC7728429/ http://dx.doi.org/10.1016/j.aej.2020.09.016 Text en © 2020 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. 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
Ogunrinde, R.B.
Nwajeri, U.K.
Fadugba, S.E.
Ogunrinde, R.R.
Oshinubi, K.I.
Dynamic model of COVID-19 and citizens reaction using fractional derivative
title Dynamic model of COVID-19 and citizens reaction using fractional derivative
title_full Dynamic model of COVID-19 and citizens reaction using fractional derivative
title_fullStr Dynamic model of COVID-19 and citizens reaction using fractional derivative
title_full_unstemmed Dynamic model of COVID-19 and citizens reaction using fractional derivative
title_short Dynamic model of COVID-19 and citizens reaction using fractional derivative
title_sort dynamic model of covid-19 and citizens reaction using fractional derivative
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728429/
http://dx.doi.org/10.1016/j.aej.2020.09.016
work_keys_str_mv AT ogunrinderb dynamicmodelofcovid19andcitizensreactionusingfractionalderivative
AT nwajeriuk dynamicmodelofcovid19andcitizensreactionusingfractionalderivative
AT fadugbase dynamicmodelofcovid19andcitizensreactionusingfractionalderivative
AT ogunrinderr dynamicmodelofcovid19andcitizensreactionusingfractionalderivative
AT oshinubiki dynamicmodelofcovid19andcitizensreactionusingfractionalderivative

Ejemplares similares