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

R.B. Ogunrinde; U.K. Nwajeri; S.E. Fadugba; R.R. Ogunrinde; K.I. Oshinubi

Alexandria Engineering Journal (Apr 2021)

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

R.B. Ogunrinde,
U.K. Nwajeri,
S.E. Fadugba,
R.R. Ogunrinde,
K.I. Oshinubi

Affiliations

R.B. Ogunrinde: Department of Mathematics, Ekiti State University, Ado Ekiti, Nigeria
U.K. Nwajeri: Department of Mathematics, Federal University of Technology, Owerri, Nigeria
S.E. Fadugba: Department of Mathematics, Ekiti State University, Ado Ekiti, Nigeria; Corresponding author.
R.R. Ogunrinde: Department of Mathematical Sciences, Augustine University Ilara-Epe, Lagos, Nigeria
K.I. Oshinubi: LJK laboratory, Université Grenoble Alpes, France

Journal volume & issue: Vol. 60, no. 2
pp. 2001 – 2012

Abstract

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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.

Published in Alexandria Engineering Journal

ISSN: 1110-0168 (Print); 2090-2670 (Online)
Publisher: Elsevier
Country of publisher: Egypt
LCC subjects: Technology: Engineering (General). Civil engineering (General)
Website: http://www.journals.elsevier.com/alexandria-engineering-journal/

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