Vol. 7, No. 1 (2018) | ISSN 2166-7403 (online) DOI 10.5195/cajgh.2018.295 | http://cajgh.pitt.edu
CBM and the Global Campaign for Education 2014
The Myanmar National Framework seeks to achieve people-centered, inclusive, and sustainable socioeconomic development in the face of disasters triggered by natural hazards and climate change. The framework articulates a common understanding, proposes a coherent approach, and identifies potential opp...ortunities for strengthening the resilience of communities in Myanmar.
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Republic of Armenia
Reporting period: January-December 2015
Accessed: 29.09.2019
Cureus 2024 Jan 16;16(1):e52358. doi: 10.7759/cureus.52358
Twenty-Fourth Annual Trachoma Control Program Review, Summary Proceedings
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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Single TB and HIV Concept Note Albania 2016-2018 27 April 2015