Republic of Armenia
Reporting period: January-December 2015
Accessed: 29.09.2019
This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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Indicators for monitoring the 2016 United Nations Political Declaration on Ending AIDS
UNAIDS supports countries to collect information on their national HIV responses through the Global AIDS Monitoring (GAM) framework—an annual collection of 72 indicators on the response to HIV in a country.... These data form part of the data set used to report back to the General Assembly.
Different from the HIV epidemiological estimates that countries produce for data on the state of the epidemic in a country—that is, data for making estimates on the number of people living with HIV, AIDS-related deaths, etc.—GAM collects information on HIV programmes, including the number of people living with HIV who know their HIV status and people on HIV treatment, and on stigma and discrimination. A full list of the indicators is given in the GAM guidelines.
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UNAIDS 2018, Guidance
Indicators for monitoring the
2016 Political Declaration on Ending AIDS
The main objective of this mission was to assess the level of preparedness of Guinea-Bissau in respect of the WHO consolidated checklist. The checklist helps countries to assess and test their level of readiness it is being used to identify concrete action to be taken and where countries will requir...e support from partners. It lists 10 key components and tasks for both countries and the international community that should be completed within 30, 60 and 90 days from the date of issue of the list, with minimal requirements for equipment, material and human resources.
The components include: overall coordination; rapid response teams; public awareness and community engagement; infection prevention and control; epidemiological and laboratory surveillance; contact tracing; points of entry; laboratory; social mobilization and risk communication; budget.
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Enhancing Men’s Role in HIV Prevention
Policy Brief, Updated in March 2017
Key messages
• Meaningful involvement of sex workers in the HIV response through peer-based education and outreach and consultation in policy making and programme planning is vital to reduce their vulnerability to HIV and other sexually transmitted inf...ections (STIs) and ensure that the challenges they face are addressed adequately.
• Sex workers (female, transgender and male) have the right to protect their health through accessing comprehensive and evidence-informed HIV and sexual and reproductive health (SRH) interventions.
• Innovative HIV prevention strategies and creative use of combination interventions are needed to reach mobile and ”hard to reach” sex workers.
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Please download the latest report from the official website:
http://www.nacp.go.tz/site/publications/epidemiology-and-research-coordination
Session V: Regulatory & quality assurance aspects
Update on prequalification of ARVs and regional harmonisation of medicine registration
Deusdedit K. Mubangizi
Group Lead, Inspections, WHO-PQT E-mail: mubangizid@who.int
Acknowledgements:
• Matthias Stahl
• Milan Smid
• Antony Fake
...• Jacqueline Sawyer
• Iveta Streipa
D-Building – UNAIDS
Kofi A. Annan Meeting Room
Wednesday, 9 March 2016 11:15 – 11:30
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