2021
DOI: 10.1016/j.chaos.2021.110949
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Dynamics of SEIR epidemic model by optimal auxiliary functions method

Abstract: The aim of the present work is to establish an approximate analytical solution for the nonlinear Susceptible, Exposed, Infected, Recovered (SEIR) model applied to novel coronavirus COVID-19. The mathematical model depending of five nonlinear differential equations, is studied and approximate solutions are obtained using Optimal Auxiliary Functions Method (OAFM). Our technique ensures a fast convergence of the solutions after only one iteration. The nonstandard part of OAFM is described by the presence of so-ca… Show more

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Cited by 18 publications
(10 citation statements)
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“…For a general nonlinear differential equation [ 25 , 26 , 27 , 28 , 29 , 30 , 31 ] with the initial conditions where L is a linear operator, N is a nonlinear operator, D is the domain of interest, B is a boundary operator, we propose that the approximate solution to be of the form where C i are n parameters unknown at this moment and n is an arbitrary positive integer number. The initial approximation Q 0 (τ) can be determined from the linear differential equation with the initial conditions …”
Section: Basics Of the Optimal Auxiliary Functions Methodsmentioning
confidence: 99%
“…For a general nonlinear differential equation [ 25 , 26 , 27 , 28 , 29 , 30 , 31 ] with the initial conditions where L is a linear operator, N is a nonlinear operator, D is the domain of interest, B is a boundary operator, we propose that the approximate solution to be of the form where C i are n parameters unknown at this moment and n is an arbitrary positive integer number. The initial approximation Q 0 (τ) can be determined from the linear differential equation with the initial conditions …”
Section: Basics Of the Optimal Auxiliary Functions Methodsmentioning
confidence: 99%
“…The nonlinear differential Equations ( 10) and ( 11) can be written in a general form as [22][23][24][25][26][27]:…”
Section: Basics Of the Oafmmentioning
confidence: 99%
“…For the SIR model, the infected individuals are capable of infecting the susceptible individuals through the recovery period. Concerning the latent period, the SEIR model, which is an extended model of the SIR, has been used for the simulation of COVID-19 [14][15][16][17][18][19][20][21]. It consists of four compartments of 'Susceptible', 'Exposed who is infected but not infectious during the latent period', 'Infectious who is infectious after the latent period until the recovery period is ended' and 'Recovered'.…”
Section: Calculation For the Case Of Infection During The Latent Peri...mentioning
confidence: 99%