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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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.
Unofficial Translation
Approved by the Federal Government on October 20, 2016
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.
This report provides an analysis of donor government funding to address the HIV response in low- and
middle-income countries in 2022, the latest year available, as well as trends over time. It includes both
bilateral funding from donors and their contributions to the Global Fund to Fight AIDS, Tub...erculosis and
Malaria (Global Fund), UNITAID, and UNAIDS. Overall, the analysis shows that while donor government
funding for HIV increased between 2021 and 2022, this was primarily due to the timing of payments from
the U.S. government and not actual increases in commitments.
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