Evidence map›Paper›PMID 41325448›Full record

ArticlePloS one2025

A mathematical model of HCV transmission dynamics with sex stratification and environmental effects.

Mlyashimbi Helikumi, Josiah Mushanyu, Adquate Mhlanga

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

3 authors.

Mlyashimbi HelikumiMbeya University of Science and Technology, College of Science and Technical Education, Department of Mathematics and Statistics, Mbeya, Tanzania.ORCID https://orcid.org/0009-0008-2564-1804
Josiah MushanyuDepartment of Computing, Mathematical and Statistical Science, University of Namibia, Windhoek, Namibia.
Adquate MhlangaThe Program for Experimental and Theoretical Modeling, Division of Hepatology, Department of Medicine, Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study primarily aims to determine how sex-specific behaviors influence Hepatitis C Virus (HCV) transmission dynamics among people who inject drugs (PWID), and to identify key parameters and interventions that most effectively reduce infection prevalence. Despite the availability of effective treatment, HCV remains a major public health challenge particularly among PWID, with sex-specific differences influencing the transmission dynamics. In this study, we developed a sex-structured deterministic mathematical model to investigate HCV transmission through contaminated needles, focusing on gender-specific patterns among PWID. Unlike previous models, our work separates transmission by sex and also captures differences between high-risk and low-risk injecting behavior through transmission and needle reuse parameters.The model classifies the population into distinct HCV related compartments for both males and females, while also incorporating an environmental pool of contaminated needles. We computed and analyzed the systems reproduction threshold and steady states, identifying conditions under which the disease persists and scenarios where backward bifurcation may occur. Sensitivity analysis identified the most influential factors on acute infection prevalence, such as rates of needle contamination, sex-specific contact behaviors, and recovery outcomes among males. Simulation results show that males experience a higher burden of acute and chronic HCV infections. Increasing the viral decay rate in needles leads to a notable decline in infections, highlighting the effectiveness of environmental interventions like needle sterilization. Additionally, reducing risky behaviors in both sexes produces the largest overall reduction in transmission, while improving needle exchange efforts by lowering the reuse of uncontaminated needles further suppresses disease spread. Our findings highlight the need for integrated harm reduction with enough, gender informed coverage, particularly ensuring sufficient reach among men, while future work should evaluate sex differential uptake and efficacy.

Indexed as

HepacivirusHepatitis CModels, TheoreticalSubstance Abuse, IntravenousFemaleHumansMalePrevalenceRisk-TakingSex Factors

Identifiers

PMID41325448
PMCPMC12668632

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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.