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Mathematical modeling of COVID-19 pandemic in India using Caputo-Fabrizio fractional derivative by Prashant Pandey; J.F. Gómez-Aguilar; Mohammed K.A. Kaabar; Zailan Siri; Abd Allah A. Mousa is a Medicine article available to read on EtoBox.

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The range of effectiveness of the novel corona virus, known as COVID-19, has been continuously spread worldwide with the severity of associated disease and effective variation in the rate of contact. This paper investigates the COVID-19 virus dynamics among the human population with the prediction of the size of epidemic and spreading time. Corona virus disease was first diagnosed on January 30, 2020 in India. From January 30, 2020 to April 21, 2020, the number of patients was continuously increased. In this scientific work, our main objective is to estimate the effectiveness of various preventive tools adopted for COVID-19. The COVID-19 dynamics is formulated in which the parameters of interactions between people, contact tracing, and average latent time are included. Experimental data are collected from April 15, 2020 to April 21, 2020 in India to investigate this virus dynamics. The Genocchi collocation technique is applied to investigate the proposed fractional mathematical model numerically via Caputo-Fabrizio fractional derivative. The effect of presence of various COVID parameters e.g. quarantine time is also presented in the work. The accuracy and efficiency of the outputs

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Author

Prashant Pandey; J.F. Gómez-Aguilar; Mohammed K.A. Kaabar; Zailan Siri; Abd Allah A. Mousa

Publisher

Elsevier BV

Published

2022

Language

EN

Field

Medicine (Physical Sciences)