Open AccessFuzzy fractional mathematical model of COVID-19 epidemic
Author(s) -
V. Padmapriya,
M. Kaliyappan
Publication year - 2022
Publication title -
journal of intelligent and fuzzy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.331
H-Index - 57
eISSN - 1875-8967
pISSN - 1064-1246
DOI - 10.3233/jifs-211173
Subject(s) - covid-19 , fuzzy logic , fractional calculus , mathematical model , computer science , mathematics , artificial intelligence , statistics , medicine , disease , pathology , infectious disease (medical specialty)
In this paper, we develop a mathematical model with a Caputo fractional derivative under fuzzy sense for the prediction of COVID-19. We present numerical results of the mathematical model for COVID-19 of most three infected countries such as the USA, India and Italy. Using the proposed model, we estimate predicting future outbreaks, the effectiveness of preventive measures and potential control strategies of the infection. We provide a comparative study of the proposed model with Ahmadian’s fuzzy fractional mathematical model. The results demonstrate that our proposed fuzzy fractional model gives a nearer forecast to the actual data. The present study can confirm the efficiency and applicability of the fractional derivative under uncertainty conditions to mathematical epidemiology.