Modeling hepatitis C virus transmission among people who inject drugs: Assumptions, limitations and future challenges

Nick Scott, Margaret Hellard, Emma Sue McBryde

Research output: Contribution to journalReview ArticleOtherpeer-review

17 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)201-208
Number of pages8
Issue number2
Publication statusPublished - 17 Feb 2016


  • Hepatitis C virus
  • infectious disease
  • injecting drug use
  • mathematical models
  • transmission

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