ReviewJournal of theoretical biology2019
Mathematical modeling of hepatitis c virus (HCV) prevention among people who inject drugs: A review of the literature and insights for elimination strategies.
Review in Journal of theoretical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Informing the Equitable Implementation of Hepatitis C Interventions: Cost-Effectiveness Modeling in Rural Populations of People Who Inject Drugs.PharmacoEconomics · 2026Article
- 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
- Fractional order modeling of hepatitis C transmission dynamics with physics-informed neural network solutions.BMC infectious diseases · 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
- Progress Toward Hepatitis C Virus Elimination among People Living with HIV-Hepatitis C Virus Coinfection in Canada.Canadian liver journal · 2025Article
- Modeling the effects of treatment adherence challenges on the transmission dynamics of hepatitis C virus.PloS one · 2025Article
- A mathematical model of HCV transmission dynamics with sex stratification and environmental effects.PloS one · 2025Article
- Network-based strategies to combat HCV: Examining social and spatial drivers of transmission among PWID in New Delhi.Journal of viral hepatitis · 2024Article
- 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
- Hepatitis C screening in Lithuania: first-year results and scenarios for achieving WHO elimination targets.BMC public health · 2024Article
- Reducing barriers to the hepatitis C care cascade in prison via point-of-care RNA testing: a qualitative exploration of men in prison using an integrated framework.Addiction (Abingdon, England) · 2023Article
- Public health interventions, priority populations, and the impact of COVID-19 disruptions on hepatitis C elimination among people who have injected drugs in Montreal (Canada): A modeling study.The International journal on drug policy · 2023Article
- Impact of voluntary testing on infectious disease epidemiology: A game theoretic approach.PloS one · 2023Article
- Barriers of linkage to HCV viremia testing among people who inject drugs in Georgia.Substance abuse treatment, prevention, and policy · 2022Article
- Modeling hepatitis C micro-elimination among people who inject drugs with direct-acting antivirals in metropolitan Chicago.PloS one · 2022Article
- Exploring how hospitalization can alter hepatitis c virus treatment prioritization and trajectories in people who use drugs: A qualitative analysis.Substance abuse · 2022Article
- Article
- Utilising an access to care integrated framework to explore the perceptions of hepatitis C treatment of hospital-based interventions among people who use drugs.The International journal on drug policy · 2021Article
- On fractional approaches to the dynamics of a SARS-CoV-2 infection model including singular and non-singular kernels.Results in physics · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
In 2016, the World Health Organization issued global elimination targets for hepatitis C virus (HCV), including an 80% reduction in HCV incidence by 2030. The vast majority of new HCV infections occur among people who inject drugs (PWID), and as such elimination strategies require particular focus on this population. As governments urgently require guidance on how to achieve elimination among PWID, mathematical modeling can provide critical information on the level and targeting of intervention are required. In this paper we review the epidemic modeling literature on HCV transmission and prevention among PWID, highlight main differences in mathematical formulation, and discuss key insights provided by these models in terms of achieving WHO elimination targets among PWID. Overall, the vast majority of modeling studies utilized a deterministic compartmental susceptible-infected-susceptible structure, with select studies utilizing individual-based network transmission models. In general, these studies found that harm reduction alone is unlikely to achieve elimination targets among PWID. However, modeling indicates elimination is achievable in a wide variety of epidemic settings with harm reduction scale-up combined with modest levels of HCV treatment for PWID. Unfortunately, current levels of testing and treatment are generally insufficient to achieve elimination in most settings, and require further scale-up. Additionally, network-based treatment strategies as well as prison-based treatment and harm reduction provision could provide important additional population benefits. Overall, epidemic modeling has and continues to play a critical role in informing HCV elimination strategies worldwide.
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