SynthesisAIDS (London, England)2015
Using hepatitis C prevalence to estimate HIV epidemic potential among people who inject drugs in the Middle East and North Africa.
Synthesis in AIDS (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- HIV epidemiology among female sex workers and their clients in the Middle East and North Africa: systematic review, meta-analyses, and meta-regressions.BMC medicine · 2019Pooled it
- The epidemiology of hepatitis C virus in Central Asia: Systematic review, meta-analyses, and meta-regression analyses.Scientific reports · 2019Pooled it
- Global population-level association between herpes simplex virus 2 prevalence and HIV prevalence.AIDS (London, England) · 2018Pooled it
- A Vulnerability Assessment for a Future HIV Outbreak Associated With Injection Drug Use in Illinois, 2017-2018.Frontiers in sociology · 2021Article
- Could the 2010 HIV outbreak in Athens, Greece have been prevented? A mathematical modeling study.PloS one · 2021Article
- HIV incidence among people who inject drugs in the Middle East and North Africa: mathematical modelling analysis.Journal of the International AIDS Society · 2018Article
- Use of routine HIV testing data for early detection of emerging HIV epidemics in high-risk subpopulations: A concept demonstration study.Infectious Disease Modelling · 2018Article
- Ensuring HIV Data Availability, Transparency and Integrity in the MENA Region Comment on "Improving the Quality and Quantity of HIV Data in the Middle East and North Africa: Key Challenges and Ways Forward".International journal of health policy and management · 2017Article
- Sexual network drivers of HIV and herpes simplex virus type 2 transmission.AIDS (London, England) · 2017Article
- Rapid Decline in HIV Incidence Among Persons Who Inject Drugs During a Fast-Track Combination Prevention Program After an HIV Outbreak in Athens.The Journal of infectious diseases · 2017Article
- HCV prevalence can predict HIV epidemic potential among people who inject drugs: mathematical modeling analysis.BMC public health · 2016Article
- Hepatitis C virus and HIV infections among people who inject drugs in the Middle East and North Africa: a neglected public health burden?Journal of the International AIDS Society · 2015Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectivesThe objective of this study is to understand the association between HIV and hepatitis C virus (HCV) among people who inject drugs (PWIDs) in the Middle East and North Africa (MENA), and to estimate HIV epidemic potential among PWIDs using HCV prevalence. DESIGN/
methodsUsing data from a systematic review of HIV and HCV among PWID in MENA, we conducted two analyses, stratified by HIV epidemic state: a meta-analysis of the risk ratio of HCV to HIV prevalence (RRHCV/HIV) using DerSimonian-Laird random-effects models, and multivariable linear regression predicting log HIV prevalence. The HCV-HIV association from both analyses was used to estimate HIV prevalence at endemic equilibrium. We compared predicted with current HIV prevalence to classify HIV epidemic potential at country-level as low, medium or high, using predefined criteria.
resultsThe review identified 88 HCV prevalence measures among PWID in MENA, of which 54 had a paired HIV prevalence measure. The pooled RRHCV/HIV were 16, 4 and 3 in low-level, emerging and established HIV epidemics, respectively. There was a significant linear relationship between HCV and HIV at endemic equilibrium (P = 0.002). The predicted endemic HIV prevalence ranged between 8% (Tunisia) and 22% (Pakistan). Of the nine countries with data, five have high and three medium HIV epidemic potential. Only one country, Pakistan, appears to have reached saturation.
conclusionHCV prevalence could be a predictor of future endemic HIV prevalence. In MENA, we predict that there will be further HIV epidemic growth among PWID. The proposed methodology can identify PWID populations that should be prioritized for HIV prevention interventions.
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