Numerical simulation and stability analysis for the fractional-order dynamics of COVID-19

dc.contributor.authorSingh, Harendra
dc.contributor.authorSrivastava, H.M.
dc.contributor.authorHammouch, Zakia
dc.contributor.authorNisar, Kottakkaran Sooppy
dc.date.accessioned2021-01-22T00:11:11Z
dc.date.available2021-01-22T00:11:11Z
dc.date.copyright2021en_US
dc.date.issued2021
dc.description.abstractThe main purpose of this work is to study the dynamics of a fractional-order Covid-19 model. An efficient computational method, which is based on the discretization of the domain and memory principle, is proposed to solve this fractional-order corona model numerically and the stability of the proposed method is also discussed. Efficiency of the proposed method is shown by listing the CPU time. It is shown that this method will work also for long-time behaviour. Numerical results and illustrative graphical simulation are given. The proposed dis-cretization technique involves low computational cost.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.identifier.citationSingh, H., Srivastava, H. M., Hammouch, Z., & Nisar, K. S. (2021). Numerical simulation and stability analysis for the fractional-order dynamics of COVID-19. Results in Physics, 20, 1-8. https://doi.org/10.1016/j.rinp.2020.103722.en_US
dc.identifier.urihttps://doi.org/10.1016/j.rinp.2020.103722
dc.identifier.urihttp://hdl.handle.net/1828/12581
dc.language.isoenen_US
dc.publisherResults in Physicsen_US
dc.subjectCorona virus modelen_US
dc.subjectFractional derivativesen_US
dc.subjectStability analysisen_US
dc.titleNumerical simulation and stability analysis for the fractional-order dynamics of COVID-19en_US
dc.typeArticleen_US

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