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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Nabila El-Bassel, PhD Columbia University
@NabilaElBassel #CUGH2018
Accessed: 26.09.2019
Unofficial Translation
Approved by the Federal Government on October 20, 2016
Information Note
1 of every 22 people living with HIV
was affected by
a humanitarian emergency in 2013
Human Papilloma Virus (HPV) is the most common sexually transmitted infection, and two types of HPV (16 and 18) cause nearly 50% of high-grade cervical pre-cancers. HIV and cervical cancer are inextricably linked. Women living with HIV are six times more likely to develop cervical cancer, which is o...ne of the AIDS-defining illnesses and the most common cancer among women living with HIV globally. Cervical cancer is a preventable, curable disease and can be eliminated as a public health problem with primary and secondary prevention, treatment, and care of cervical cancer, in combination with addressing social, health and other inequalities and integrated approaches.
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The aim of the operational framework is to ensure 1) accurate collection, handling, shipment and storage of specimens collected in countries implementing HIV drug resistance surveillance; and 2) the availability of quality-assured HIV genotyping laboratory services producing comparable and reliable ...results at the national, regional and global levels.
This publication updates the WHO HIVResNet HIV drug resistance laboratory operational framework published in 2017 and reflects technical and strategic developments over the past three years.
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