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
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Open Access Color
Green Open Access
No
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Publicly Funded
No
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.
Description
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
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
5
Source
Mathematics and Computers in Simulation
Volume
209
Issue
Start Page
205
End Page
219
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Citations
CrossRef : 7
Scopus : 7
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Mendeley Readers : 3
SCOPUS™ Citations
8
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Web of Science™ Citations
6
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Page Views
4
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2.0081
Sustainable Development Goals
3
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