Evidence map›Paper›PMID 40779594›Full record

ArticlePloS one2025

Modeling the effects of treatment adherence challenges on the transmission dynamics of hepatitis C virus.

Tinashe Victor Mupedza, Laurette Mhlanga, Dennis Mamutse, Mlyashimbi Helikumi, Paride Oresto Lolika, Shingirai Tangakugara Murambiwa, Adquate Mhlanga

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Tinashe Victor MupedzaDepartment of Mathematics, University of Zimbabwe, Harare, Zimbabwe.ORCID https://orcid.org/0000-0001-6930-2793
Laurette MhlangaDepartment of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, Illinois, United States of America.
Dennis MamutseDepartment of Mathematics, University of Zimbabwe, Harare, Zimbabwe.
Mlyashimbi HelikumiDepartment of Mathematics and Statistics, College of Science and Technical Education, Mbeya, University of Science and Technology, Mbeya, Tanzania.
Paride Oresto LolikaDepartment of Mathematics, University of Juba, Central Equatoria, South Sudan.
Shingirai Tangakugara MurambiwaDepartment of Mathematics, University of Zimbabwe, Harare, Zimbabwe.
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

Infectious disease modeling is crucial for predicting disease progression over time and helps guide decision makers in public health policy. Hepatitis C virus (HCV) prevalence is still increasing in Zimbabwe, a low-middle-income country (LMIC), despite the availability of effective treatments, and the reasons for this increase are not well understood. Our study employed a mathematical model to explain the impact of poor treatment adherence on HCV transmission dynamics in Zimbabwe. We computed the basic reproduction number ([Formula: see text]), a vital metric of disease spread. Equilibrium states of the model were determined, and their stability was investigated. The study demonstrated that an adherence level exceeding 52% causes the reproduction number to drop below 1, curtailing further spread. Our HCV model indicates that variations in re-susceptibility minimally impact outcomes, suggesting that re-susceptibility can often be excluded in such analyses. Our model unraveled the synergistic impact of simultaneously enhancing the recovery rate of acutely infected individuals and treatment adherence on reducing [Formula: see text]. The study underlines the pressing need for stronger health interventions, including patient education, financial assistance, and rigorous monitoring, to improve treatment adherence. These interventions are paramount in curbing HCV proliferation, particularly in LMICs like Zimbabwe, and can serve as a template for similar settings globally.

Indexed as

HepacivirusHepatitis CTreatment Adherence and ComplianceAntiviral AgentsBasic Reproduction NumberHumansModels, TheoreticalZimbabweAntiviral Agents

Identifiers

PMID40779594
PMCPMC12334037

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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.