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Dynamic model of COVID-19 and citizens reaction using fractional derivative
Author(s) -
R. B. Ogunrinde,
Ugochukwu Kizito Nwajeri,
Sunday Emmanuel Fadugba,
Rowland Rotimi Ogunrinde,
Kayode Oshinubi
Publication year - 2020
Publication title -
alexandria engineering journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.584
H-Index - 58
eISSN - 2090-2670
pISSN - 1110-0168
DOI - 10.1016/j.aej.2020.09.016
Subject(s) - fractional calculus , derivative (finance) , population , mathematics , stability (learning theory) , fraction (chemistry) , basic reproduction number , covid-19 , computer science , demography , economics , chemistry , disease , medicine , financial economics , infectious disease (medical specialty) , organic chemistry , pathology , machine learning , sociology
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.

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