ReviewVirulence2016
Modeling hepatitis C virus transmission among people who inject drugs: Assumptions, limitations and future challenges.
Review in Virulence, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 19 citations in OpenAlex.
- Informing the Equitable Implementation of Hepatitis C Interventions: Cost-Effectiveness Modeling in Rural Populations of People Who Inject Drugs.PharmacoEconomics · 2026Article
- A mathematical model of HCV transmission dynamics with sex stratification and environmental effects.PloS one · 2025Article
- Article
- A review of network simulation models of hepatitis C virus and HIV among people who inject drugs.The International journal on drug policy · 2021Review
- Health outcomes and cost-effectiveness of diversion programs for low-level drug offenders: A model-based analysis.PLoS medicine · 2020Article
- The contribution of injection drug use to hepatitis C virus transmission globally, regionally, and at country level: a modelling study.The lancet. Gastroenterology & hepatology · 2019Article
- Injection drug network characteristics as a predictor of injection behaviour.Epidemiology and infection · 2019Article
- Eliminating hepatitis C virus as a public health threat among HIV-positive men who have sex with men: a multi-modelling approach to understand differences in sexual risk behaviour.Journal of the International AIDS Society · 2018Article
- Structural Sensitivity in HIV Modeling: A Case Study of Vaccination.Infectious Disease Modelling · 2017Article
- Editorial: Mathematical modeling of infectious disease dynamics.Virulence · 2016Article
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 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The discovery of highly effective hepatitis C virus (HCV) treatments has led to discussion of elimination and intensified interest in models of HCV transmission. In developed settings, HCV disproportionally affects people who inject drugs (PWID), and models are typically used to provide an evidence base for the effectiveness of interventions such as needle and syringe programs, opioid substitution therapy and more recently treating PWID with new generation therapies to achieve specified reductions in prevalence and / or incidence. This manuscript reviews deterministic compartmental S-I, deterministic compartmental S-I-S and network-based transmission models of HCV among PWID. We detail typical assumptions made when modeling injecting risk behavior, virus transmission, treatment and re-infection and how they correspond with available evidence and empirical data.
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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.