Hepatitis C virus treatment as prevention in an extended network of people who inject drugs in the USA: a modelling study.

ABSTRACT:

Background

Chronic infections with hepatitis C virus (HCV) and HIV are highly prevalent in the USA and concentrated in people who inject drugs. Treatment as prevention with highly effective new direct-acting antivirals is a prospective HCV elimination strategy. We used network-based modelling to analyse the effect of this strategy in HCV-infected people who inject drugs in a US city.

Methods

Five graph models were fit using data from 1574 people who inject drugs in Hartford, CT, USA. We used a degree-corrected stochastic block model, based on goodness-of-fit, to model networks of injection drug users. We simulated transmission of HCV and HIV through this network with varying levels of HCV treatment coverage (0%, 3%, 6%, 12%, or 24%) and varying baseline HCV prevalence in peo

SUBMITTER: Zelenev A 

PROVIDER: S-EPMC5860640 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature