Stochastic covid-19 model with fractional global and classical piecewise derivative.
Results Phys
; 30: 104788, 2021 Nov.
Article
in English
| MEDLINE | ID: covidwho-1415762
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.
Full text:
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Collection:
International databases
Database:
MEDLINE
Language:
English
Journal:
Results Phys
Year:
2021
Document Type:
Article
Affiliation country:
J.rinp.2021.104788
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