Evidence map›Paper›PMID 39414814›Full record

ArticleScientific reports2024

Investigating the impact of stochasticity on HIV infection dynamics in CD4

Nauman Ahmed, Muhammad W Yasin, Syed Mansoor Ali, Ali Akgül, Ali Raza, Muhammad Rafiq, Shah Muhammad, Mubasher Ali

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Nauman AhmedDepartment of Mathematics and Statistics, The University of Lahore, Lahore, Pakistan.
Muhammad W YasinDepartment of Mathematics and Statistics, The University of Lahore, Lahore, Pakistan.
Syed Mansoor AliDepartment of Physics and Astronomy, College of Science, King Saud University, P.O. BOX 2455, Riyadh, 11451, Saudi Arabia. Symali@ksu.edu.sa.
Ali AkgülDepartment of Mathematics, Art and Science Faculty, Siirt University, 56100, Siirt, Turkey. aliakgul00727@gmail.com.
Ali RazaDepartment of Physical Sciences, Department of Mathematics, University of Chenab, Gujrat, Pakistan.
Muhammad RafiqDepartment of Mathematics, Faculty of Science and Technology, University of Central Punjab, Lahore, Pakistan.
Shah MuhammadDepartment of Mathematics, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia.
Mubasher AliDepartment of Electronic and Electrical Engineering, University of Sheffield, Sheffield, South Yorkshire, England.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The disease dynamics affect the human life. When one person is affected with a disease and if it is not treated well, it can weaken the immune system of the body. Human Immunodeficiency Virus (HIV) is a virus that attacks the immune system, of the body which is the defense line against diseases. If it is not treated well then HIV progresses to its advanced stages and it is known as Acquired Immunodeficiency Syndrome (AIDS). HIV is typically a disease that can transferred from one person to another in several ways such as through blood, breastfeeding, sharing needles or syringes, and many others. So, the need of the hour is to consider such important disease dynamics and that will help mankind to save them from such severe disease. For the said purpose the reaction-diffusion HIV CD4

Indexed as

CD4-Positive T-LymphocytesHIV InfectionsStochastic ProcessesHumansModels, BiologicalAnalysis of schemesProposed SBE schemeProposed SIFD schemeSimulationsStochastic HIV model

Identifiers

PMID39414814
PMCPMC11484751

What OpenQuestion holds

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Registered trials

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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.