Stochastic covid-19 model with fractional global and classical piecewise derivative

Sonal Jain, Youssef El-Khatib

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Several methodologies have been advocated in the last decades with the aim to better understand behaviours displayed by some real-world problems. Among which, stochastics modelling and fractional modelling, fuzzy and others. These methodologies have been suggested to threat specific problems; however, It have been noticed that some problems exhibit different patterns as time passes by. Randomness and nonlocality can be combined to depict complex real-world behaviours. It has been observed that, covid-19 virus spread does not follow a single pattern; sometimes we obtained stochastic behaviours, another nonlocal behaviour and others. In this paper, we shall consider a covid-19 model with fractional stochastic behaviours. More precisely a covid-19 model, where the model considers nonlocalities and randomness is suggested. Then a comprehensive analysis of the model is conducted. Numerical simulations and illustrations are done to show the efficiency of the model.

Original languageEnglish
Article number104788
JournalResults in Physics
Volume30
DOIs
Publication statusPublished - Nov 2021

Keywords

  • Fractional stochastic behaviours
  • Numerical representation
  • Piecewise differential operators

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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