Numerical Solutions of the Hiv Infection Model of Cd4(+) Cells by Laguerre Wavelets

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Date

2023

Authors

Beler, Ayse
Özaltun, Gökçe
Gümgüm, Sevin

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Volume Title

Publisher

Elsevier

Open Access Color

Green Open Access

No

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Abstract

In this study, we analyze the numerical solutions of the Human Immunodeficiency Virus (HIV) infection on helper T cells by using the Laguerre wavelet method. Our goal is to find accurate approximate results of the models that measure the number of helper infected and uninfected T cells as well as the number of free virus particles at a given time. We present two different models which are governed by three first order nonlinear differential equations with different parameters. We include an error analysis in order to compare the results with other methods available in the literature, and observe that the Laguerre wavelet method gives highly accurate results, is very easy to implement, hence efficient, in the solution of the type of problems indicated.(c) 2023 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.

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Keywords

Laguerre wavelets, HIV infection modeling, System of nonlinear differential equations, Dynamics, Medical epidemiology, HIV infection modeling, system of nonlinear differential equations, Computational methods for problems pertaining to biology, Laguerre wavelets

Fields of Science

0101 mathematics, 01 natural sciences

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WoS Q

Q1

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Q1
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OpenCitations Citation Count
5

Source

Mathematics and Computers in Simulation

Volume

209

Issue

Start Page

205

End Page

219
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CrossRef : 7

Scopus : 7

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8

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6

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4

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3

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