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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Fractional Variational Iteration Method for Nonlinear HIV Infectious Disease Model

Authors: A. R. Meshram;

Fractional Variational Iteration Method for Nonlinear HIV Infectious Disease Model

Abstract

A nonlinear fractional order mathematical framework that estimates the concentration of healthy CD4+T cells, concentration of CD4+T cells contaminated by HIV virus, and concentration of free contagious virus particles is solved using a variational iteration method. Iterative analysis has been used to analyse a nonlinear fractional order mathematical model of differential equations. The Caputo derivative has been employed to describe fractional derivatives. By specifying fixed components with different spans of time and computing an infinite series solution for various orders of the system of fractional differential equations. Additionally, the results from the variational iteration method for integer orders are associated with the results from the same technique for various fractional orders. Python is used for analysing the solution numerically and graphically.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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