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

Scott, Nick, Hellard, Margaret, and McBryde, Emma Sue (2016) Modeling hepatitis C virus transmission among people who inject drugs: assumptions, limitations and future challenges. Virulence, 7 (2). pp. 201-208.

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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.

Item ID: 42210
Item Type: Article (Research - C1)
ISSN: 2150-5608
Keywords: hepatitis C virus; infectious disease; injecting drug use; mathematical models; transmission
Date Deposited: 04 May 2016 22:38
FoR Codes: 32 BIOMEDICAL AND CLINICAL SCIENCES > 3202 Clinical sciences > 320211 Infectious diseases @ 40%
42 HEALTH SCIENCES > 4202 Epidemiology > 420205 Epidemiological modelling @ 40%
44 HUMAN SOCIETY > 4407 Policy and administration > 440706 Health policy @ 20%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920109 Infectious Diseases @ 50%
92 HEALTH > 9202 Health and Support Services > 920207 Health Policy Evaluation @ 50%
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