Numerical Solution of Some COVID-19 Models

Adeniran A. O. *

Department of Statistics, Federal Polytechnic, Ile Oluji, Nigeria.

Longe I. O.

Department of Statistics, Federal Polytechnic, Ile Oluji, Nigeria.

Adelegan Aderinsola

Department of business administration, Wilmington University, Delaware U.S.A.

*Author to whom correspondence should be addressed.


Abstract

This paper presents a two-step Bernstein induced scheme for the numerical solution of some COVID-19 models. The scheme is developed via collocation and interpolation techniques invoked on Bernstein polynomials; the proposed scheme is consistent, between orders four and three. This method can estimate the approximate solution at step points simultaneously by using variable step size. A numerical implementation of the scheme was used on the COVID-19 model, and this showed that the scheme can be conveniently applied to some mathematical models of COVID-19.

Keywords: Mathematical model, COVID-19, bernstein, collocation, interpolation.


How to Cite

A. O. , Adeniran, Longe I. O., and Adelegan Aderinsola. 2023. “Numerical Solution of Some COVID-19 Models”. Journal of Advances in Mathematics and Computer Science 38 (9):1-8. https://doi.org/10.9734/jamcs/2023/v38i91799.

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