ArticleScientific reports2017
Impact of Hepatitis C Treatment as Prevention for People Who Inject Drugs is sensitive to contact network structure.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence of hepatitis C infection among the general population and high-risk groups in the EU/EEA: a systematic review update.BMC infectious diseases · 2019Pooled it
- Potential Impact of Frequent Testing for Hepatitis C Virus Among People Who Inject Drugs Toward Hepatitis C Elimination in the United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026Article
- Hepatitis C virus transmission among people who inject drugs in rural United States: mathematical modeling study using stochastic agent-based network simulation.American journal of epidemiology · 2026Article
- Impact of Risk Heterogeneity on the Feasibility of Hepatitis C Elimination Among People Who Inject Drugs: A Modelling Study.Journal of viral hepatitis · 2025Article
- Health and Economic Impact of Periodic Hepatitis C Virus Testing Among People Who Inject Drugs.JAMA health forum · 2025Article
- Achieving Hepatitis C Micro-Elimination in Chinese Injecting Drug Users: A Dynamic Network Modeling Study.Infectious diseases and therapy · 2025Article
- Potential impact of curative and preventive interventions toward hepatitis C elimination in people who inject drugs-A network modeling study.The International journal on drug policy · 2024Article
- Sociodemographic Variables Can Guide Prioritized Testing Strategies for Epidemic Control in Resource-Limited Contexts.The Journal of infectious diseases · 2023Article
- Deep learning and social network analysis elucidate drivers of HIV transmission in a high-incidence cohort of people who inject drugs.Science advances · 2022Article
- Extent and implications of omitted ties on network measures in a longitudinal social network survey of people who use drugs.Drug and alcohol dependence · 2022Article
- Modelling the impact of HIV and HCV prevention and treatment interventions for people who inject drugs in Dar es Salaam, Tanzania.Journal of the International AIDS Society · 2021Article
- A review of network simulation models of hepatitis C virus and HIV among people who inject drugs.The International journal on drug policy · 2021Review
- Cost-effectiveness of screening and treatment using direct-acting antivirals for chronic Hepatitis C virus in a primary care setting in Karachi, Pakistan.Journal of viral hepatitis · 2021Article
- Psychosocial Factors and the Care Cascade for Hepatitis C Treatment Colocated at a Syringe Service Program.The Journal of infectious diseases · 2020Article
- A Maximum Entropy Method for the Prediction of Size Distributions.Entropy (Basel, Switzerland) · 2020Article
- Population network structures, graph theory, algorithms to match subgraphs may lead to better clustering of households and communities in epidemiological studies: a response.Epidemiology and infection · 2020Article
- Mathematical modeling of hepatitis c virus (HCV) prevention among people who inject drugs: A review of the literature and insights for elimination strategies.Journal of theoretical biology · 2019Review
- Hepatitis C transmission in young people who inject drugs: Insights using a dynamic model informed by state public health surveillance.Epidemics · 2019Article
- Phylogenies from dynamic networks.PLoS computational biology · 2019Article
- Economically Efficient Hepatitis C Virus Treatment Prioritization Improves Health Outcomes.Medical decision making : an international journal of the Society for Medical Decision Making · 2018Article
Corrections and comments
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6 authors.
Funding
Abstract
Treatment as Prevention (TasP) using directly-acting antivirals has been advocated for Hepatitis C Virus (HCV) in people who inject drugs (PWID), but treatment is expensive and TasP's effectiveness is uncertain. Previous modelling has assumed a homogeneously-mixed population or a static network lacking turnover in the population and injecting partnerships. We developed a transmission-dynamic model on a dynamic network of injecting partnerships using data from survey of injecting behaviour carried out in London, UK. We studied transmission on a novel exponential-clustered network, as well as on two simpler networks for comparison, an exponential unclustered and a random network, and found that TasP's effectiveness differs markedly. With respect to an exponential-clustered network, the random network (and homogeneously-mixed population) overestimate TasP's effectiveness, whereas the exponential-unclustered network underestimates it. For all network types TasP's effectiveness depends on whether treated patients change risk behaviour, and on treatment coverage: higher coverage requires fewer total treatments for the same health gain. Whilst TasP can greatly reduce HCV prevalence, incidence of infection, and incidence of reinfection in PWID, assessment of TasP's effectiveness needs to take account of the injecting-partnership network structure and post-treatment behaviour change, and further empirical study is required.
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