Reliable iterative methods for mathematical model of COVID-19 based on data in Anhui, China

Sawsan Mohsin Abed, M.A. Al-Jawary

Abstract


In this paper, five reliable iterative methods: Daftardar-Jafari method (DJM), Tamimi-Ansari method (TAM), Banach contraction method (BCM), Adomian decomposition method (ADM) and Variational iteration method (VIM) to obtain approximate solutions for a mathematical model that represented the coronavirus pandemic (COVID -19 pandemic). The accuracy of the obtained results is numerically verified by evaluating the maximum error remainder. In addition, the approximate results are compared with the fourth-order Runge-Kutta method (RK4) and good agreement have achieved. The convergence of the proposed methods is successfully demonstrated and mathematically verified. All calculations were successfully performed with MATHEMATICA®10.

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Published: 2020-08-06

How to Cite this Article:

Sawsan Mohsin Abed, M.A. Al-Jawary, Reliable iterative methods for mathematical model of COVID-19 based on data in Anhui, China, Commun. Math. Biol. Neurosci., 2020 (2020), Article ID 50

Copyright © 2020 Sawsan Mohsin Abed, M.A. Al-Jawary. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Commun. Math. Biol. Neurosci.

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