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

Sonal Jain, Youssef El-Khatib

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


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
Publication statusPublished - Nov 2021


  • Fractional stochastic behaviours
  • Numerical representation
  • Piecewise differential operators

ASJC Scopus subject areas

  • General Physics and Astronomy


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