Literature DB >> 22664064

Determinants of persistent spread of HIV in HCV-infected populations of injecting drug users.

Anneke S de Vos1, Jannie J van der Helm, Maria Prins, Mirjam E Kretzschmar.   

Abstract

Hepatitis C virus (HCV) and human immunodeficiency virus (HIV) are both transmitted through populations of injecting drug users (IDU) by the sharing of contaminated syringes. Prevalence of HCV is high in most IDU populations, whereas HIV prevalence varies considerably across populations. Understanding the dynamics of these interacting infections may allow us to use HCV prevalence as an indicator for the risk of persistent spread of HIV. We developed a mathematical model that describes the spread of both HCV and HIV in an IDU population. The model allows for HCV-HIV co-infection and increased disease related mortality for both infections. Using this model we investigated how HIV and HCV prevalence both depend on level and heterogeneity of injecting risk behaviour, and how HIV and HCV prevalence are related. To gain knowledge of actual risk behaviour we analysed data from the Amsterdam Cohort Study (ACS) of drug users. We find that there is a threshold HCV prevalence at which HIV can invade into an IDU population; below threshold HIV cannot spread. This threshold depends strongly on heterogeneity of risk behaviour in the population, as well as on whether sharing is more likely to occur within or between risk behaviour groups. We find that our model agrees with the observed relationship between HCV and HIV prevalence as described by Vickerman et al. (2010), when in addition to risk heterogeneity as fitted from the ACS, we also assume that most contacts (>90%) occur amongst IDU of the same risk level (assortative mixing). We conclude that HCV prevalence can be used as an indicator of risk for successful HIV introduction into an IDU population. However, information on risk heterogeneity is required for determining this risk, and also for designing effective prevention strategies.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22664064     DOI: 10.1016/j.epidem.2012.01.001

Source DB:  PubMed          Journal:  Epidemics        ISSN: 1878-0067            Impact factor:   4.396


  9 in total

1.  Modeling Combination HCV Prevention among HIV-infected Men Who Have Sex With Men and People Who Inject Drugs.

Authors:  Natasha K Martin; Britt Skaathun; Peter Vickerman; David Stuart
Journal:  AIDS Rev       Date:  2017 Apr - Jun       Impact factor: 2.500

2.  Self-Reported HIV and HCV Screening Rates and Serostatus Among Substance Abuse Treatment Patients.

Authors:  Diana Hernández; Daniel J Feaster; Lauren Gooden; Antoine Douaihy; Raul Mandler; Sarah J Erickson; Tiffany Kyle; Louise Haynes; Robert Schwartz; Moupali Das; Lisa Metsch
Journal:  AIDS Behav       Date:  2016-01

3.  Using hepatitis C prevalence to estimate HIV epidemic potential among people who inject drugs in the Middle East and North Africa.

Authors:  Ghina R Mumtaz; Helen A Weiss; Peter Vickerman; Natasha Larke; Laith J Abu-Raddad
Journal:  AIDS       Date:  2015-08-24       Impact factor: 4.177

4.  Co-Infection Burden of Hepatitis C Virus and Human Immunodeficiency Virus among Injecting Heroin Users at the Kenyan Coast.

Authors:  Ruth S Mwatelah; Raphael M Lwembe; Saida Osman; Bernhards R Ogutu; Rashid Aman; Rose C Kitawi; Laura N Wangai; Florence A Oloo; Gilbert O Kokwaro; Washingtone Ochieng
Journal:  PLoS One       Date:  2015-07-24       Impact factor: 3.240

5.  The geographic distribution patterns of HIV-, HCV- and co-infections among drug users in a national methadone maintenance treatment program in Southwest China.

Authors:  Yi-Biao Zhou; Song Liang; Qi-Xing Wang; Yu-Han Gong; Shi-Jiao Nie; Lei Nan; Ai-Hui Yang; Qiang Liao; Xiu-Xia Song; Qing-Wu Jiang
Journal:  BMC Infect Dis       Date:  2014-03-10       Impact factor: 3.090

6.  Increasing prevalence of HIV infection among first time clients in Italian drug treatment services - is it sexual transmission?

Authors:  Mario Cruciani; Lucas Wiessing; Giovanni Serpelloni; Bruno Genetti; Alessandra Andreotti; Carpignano Iulia; Monica Zermiani; Barbara Suligoi
Journal:  BMC Infect Dis       Date:  2015-04-30       Impact factor: 3.090

7.  HCV prevalence can predict HIV epidemic potential among people who inject drugs: mathematical modeling analysis.

Authors:  Vajiheh Akbarzadeh; Ghina R Mumtaz; Susanne F Awad; Helen A Weiss; Laith J Abu-Raddad
Journal:  BMC Public Health       Date:  2016-12-03       Impact factor: 3.295

8.  The impact of HCV therapy in a high HIV-HCV prevalence population: A modeling study on people who inject drugs in Ho Chi Minh City, Vietnam.

Authors:  Ruthie B Birger; Thuy Le; Roger D Kouyos; Bryan T Grenfell; Timothy B Hallett
Journal:  PLoS One       Date:  2017-05-11       Impact factor: 3.240

9.  The effect of assortative mixing on stability of low helminth transmission levels and on the impact of mass drug administration: Model explorations for onchocerciasis.

Authors:  Anneke S de Vos; Wilma A Stolk; Sake J de Vlas; Luc E Coffeng
Journal:  PLoS Negl Trop Dis       Date:  2018-10-08
  9 in total

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