Governments and health officials are eager to gain a thorough understanding of the dynamics of COVID-19 transmission in order to devise strategies to mitigate the pandemic's negative effects. As a result, we created a new fractional order mathematical model to investigate the dynamics of Covid-19 vaccine transmission in Ethiopia. The nonlinear system of differential equations for the model is represented using Atangana-Baleanu fractional derivative in Caputo sense and the Jacobi spectral collocation method is used to convert this system into an algebraic system of equations, which is then solved using inexact Newton's method. The fundamental reproduction number, R-0 for the proposed model is determined using the next generation matrix approach.
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Univ Cambridge, Sch Clin Med, Med Res Council, Biostat Unit, Cambridge, EnglandUniv Cambridge, Sch Clin Med, Med Res Council, Biostat Unit, Cambridge, England
Liu, Yang
Tang, Julian W.
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Univ Leicester, Resp Sci, Leicester, Leics, EnglandUniv Cambridge, Sch Clin Med, Med Res Council, Biostat Unit, Cambridge, England
Tang, Julian W.
Lam, Tommy T. Y.
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Univ Hong Kong, Sch Publ Hlth, State Key Lab Emerging Infect Dis, Hong Kong, Peoples R ChinaUniv Cambridge, Sch Clin Med, Med Res Council, Biostat Unit, Cambridge, England