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Impact of Hepatitis C Treatment as Prevention for People Who Inject Drugs is sensitive to contact network structure

Metzig, C; Surey, J; Francis, M; Conneely, J; Abubakar, I; White, PJ; (2017) Impact of Hepatitis C Treatment as Prevention for People Who Inject Drugs is sensitive to contact network structure. Scientific Reports , 7 , Article 1833. 10.1038/s41598-017-01862-6. Green open access

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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.

Type: Article
Title: Impact of Hepatitis C Treatment as Prevention for People Who Inject Drugs is sensitive to contact network structure
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/s41598-017-01862-6
Publisher version: http://dx.doi.org/10.1038/s41598-017-01862-6
Language: English
Additional information: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Science & Technology, Multidisciplinary Sciences, Science & Technology - Other Topics, VIRUS-INFECTION, LIVER-DISEASE, USERS, TRANSMISSION, REINFECTION, DYNAMICS, EPIDEMIOLOGY, POPULATIONS, COMMUNITY, ENGLAND
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health
URI: https://discovery.ucl.ac.uk/id/eprint/1559306
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