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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A supplement to The State of the World’s Children Report 2009
Joint Action for Results
UNAIDS Outcome Framework: Business Case 2009–2011
The results of a WHO survey conducted to assess the impact of the COVID-19 pandemic on up to 25 essential health services in countries show disruptions of essential health services in nearly all countries, and more so in lower-income than higher-income countries. The great majority of service disrup...tions were partial, which was defined as a change of 5–50% in service provision or use.
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Enhancing Men’s Role in HIV Prevention
The Road to Recovery. This synthesis report is based on three national studies on the evolution of the Ebola epidemic and its impact on Guinea, Liberia and Sierra Leone