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Modeling and simulation of fractional order COVID‐19 model with quarantined‐isolated people
Author(s) -
Aslam Muhammad,
Farman Muhammad,
Akgül Ali,
Sun Meng
Publication year - 2021
Publication title -
mathematical methods in the applied sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.719
H-Index - 65
eISSN - 1099-1476
pISSN - 0170-4214
DOI - 10.1002/mma.7191
Subject(s) - mathematics , uniqueness , fractional calculus , stability (learning theory) , convergence (economics) , order (exchange) , fixed point theorem , operator (biology) , epidemic model , covid-19 , transformation (genetics) , mathematical analysis , computer science , disease , medicine , infectious disease (medical specialty) , population , repressor , economic growth , chemistry , environmental health , pathology , biochemistry , machine learning , transcription factor , finance , economics , gene
The dynamics of diseases and effectiveness of control policies play important role in the prevention of epidemic diseases. To this end, this paper is concerned with the design of fractional order coronavirus disease (COVID‐19) model with Caputo Fabrizio fractional derivative operator of order Ω ∈ (0, 1] for the COVID‐19. Verify the nonnegative special solution and convergence of the scheme with in the domain. Caputo‐Fabrizio technique apply with Sumudu transformation method is used to solve the fractional order COVID‐19 model. Fixed point theory and Picard Lindelof approach are used to provide the stability and uniqueness of the results. Numerical simulations conspicuously demonstrate that by applying the proposed fractional order model, governments could find useful and practical ways for control of the disease.