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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UNICEF trucks water to the camps where people displaced by the conflict have temporarily settled. UNICEF also installed latrines, showers and water storage tanks in the camps and distributed family hygiene kits to protect children against waterborne diseases.
Statement
Impact of migration on infectious diseases in Europe | August 2007 | 1-7
Globally, the cancer burden is rising, exerting significant strain on
populations and health systems at all levels of income. There are
concerted efforts towards enhancing access to comprehensive
cancer prevention and control initiatives.
Journal of Microbiology and Infectious Diseases / 2015; 5 (3): 110-113
JMID, doi: 10.5799/ahinjs.02.2015.03.0187
NOVEMBER 2012
This document serves as an update to “Out of the Dark”, a report published by MSF in October 2011, highlighting the need to prioritise the long-neglected area of paediatric tuberculosis (TB). This update will outline the key improvements and setbacks—the ‘highlights’ and ‘...lowlights’—that have occurred over the last year.
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FOLLOW-UP TO THE 2011 POLITICAL DECLARATION ON HIV/AIDS: INTENSIFYING EFFORTS TO ELIMINATE HIV/AIDS | Reporting Period: January – December 2014
No publication date indicated.