ArticleNonlinear biomedical physics2012
Fractional modeling dynamics of HIV and CD4+ T-cells during primary infection.
Article in Nonlinear biomedical physics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed, 160 citations in OpenAlex.
- CD4 cell count and viral load count association and its joint risk factors among adult TB/HIV co-infected patients: a retrospective follow-up study.BMC research notes · 2025Article
- Novel analytical techniques for HIV-1 infection of CD4 + T cells on fractional order in mathematical biology.Indian journal of physics and proceedings of the Indian Association for the Cultivation of Science (2004) · 2023Article
- COVID-19 deterministic and stochastic modelling with optimized daily vaccinations in Saudi Arabia.Results in physics · 2021Article
- The Fractional Differential Model of HIV-1 Infection of CD4Computational and mathematical methods in medicine · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we introduce fractional-order into a model of HIV-1 infection of CD4+ T cells. We study the effect of the changing the average number of viral particles N with different sets of initial conditions on the dynamics of the presented model. Generalized Euler method (GEM) will be used to find a numerical solution of the HIV-1 infection fractional order model.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.