Evidence map›Paper›PMID 38321259›Full record

ArticleScientific reports2024

Fractional view analysis of sexual transmitted human papilloma virus infection for public health.

Mohammed Cherif Bahi, Salma Bahramand, Rashid Jan, Salah Boulaaras, Hassan Ahmad, Rafik Guefaifia

Abstract read
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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Mohammed Cherif BahiDepartment of Mathematics and Computer Science, Echahid Cheikh Larbi Tebessi University, Tebessa, Algeria.
Salma BahramandDepartment of Political Science, Bacha Khan University Charsadda, Charsadda, 24420, KPK, Pakistan.
Rashid JanDepartment of Civil Engineering, College of Engineering, Institute of Energy Infrastructure (IEI), Universiti Tenaga Nasional (UNITEN), Putrajaya Campus, Jalan IKRAM-UNITEN, 43000, Kajang, Selangor, Malaysia.
Salah BoulaarasDepartment of Mathematics, College of Science, Qassim University, Buraydah, 51452, Saudi Arabia. s.boularas@qu.edu.sa.
Hassan AhmadDepartment of Mathematics, University of Swabi, Swabi, 23561, KPK, Pakistan.
Rafik GuefaifiaDepartment of Mathematics, College of Science, Qassim University, Buraydah, 51452, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The infection of human papilloma virus (HPV) poses a global public health challenge, particularly in regions with limited access to health care and preventive measures, contributing to health disparities and increased disease burden. In this research work, we present a new model to explore the transmission dynamics of HPV infection, incorporating the impact of vaccination through the Atangana-Baleanu derivative. We establish the positivity and uniqueness of the solution for the proposed model HPV infection. The threshold parameter is determined through the next-generation matrix method, symbolized by [Formula: see text]. Moreover, we investigate the local asymptotic stability of the infection-free steady-state of the system. The existence of the solutions of the recommended model is determined through fixed-point theory. A numerical scheme is presented to visualize the dynamical behavior of the system with variation of input factors. We have shown the impact of input parameters on the dynamics of the system through numerical simulations. The findings of our investigation delineated the principal parameters exerting significant influence for the control and prevention of HPV infection.

Indexed as

Papillomavirus InfectionsPublic HealthCost of IllnessHuman Papillomavirus VirusesHumansSexual Behavior

Identifiers

PMID38321259
PMCPMC11269632

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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.