Vol. 7, No. 1 (2018) | ISSN 2166-7403 (online) DOI 10.5195/cajgh.2018.295 | http://cajgh.pitt.edu
Supplement Article
Antiretrovirals to Prevent HIV Infection • CID 2015:60 (Suppl 3) • S159 - S160
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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Joint Action for Results
UNAIDS Outcome Framework: Business Case 2009–2011
Nabila El-Bassel, PhD Columbia University
@NabilaElBassel #CUGH2018
Accessed: 26.09.2019
Unofficial Translation
Approved by the Federal Government on October 20, 2016
African Journal of Emergency Medicine
Volume 11, Issue 1, March 2021, Pages 165-170
HIV Testing and Counselling Guidelines
HIV Country Intelligence - HIV Country Profiles
Policy brief.
HIV self-testing (HIVST) is a convenient and confidential option for HIV testing. In 2016 WHO recommended HIVST as a safe, accurate and effective way to reach people who may not test otherwise, including people from key populations, men and young people. Lay users can perform HIVST r...eliably and accurately and achieve performance comparable to that of trained health-care workers.
Globally, many countries have developed HIVST policies, and implementation is growing rapidly. This policy brief highlights new guidance to optimize HIVST implementation, including effective service delivery models, linkage to care and support tools.
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A regional consultation report and draft transition framework