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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Collection of country-level good practices
Over the 20 years that followed, this unique partnership has invested more than US$53 billion, saving 44 million lives and reducing the combined death rate from the three diseases by more than half in the countries in which the Global Fund invests.
The first important change is a new priority ranking of the available medicines for MDR-TB treatment, based on a careful balance between expected benefits and harms. Treatment success for MDR-TB is currently low in many countries. This could be increased by improving access to the highest-ranked med...icines for all patients with MDR-TB.
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Countdown to zero
2011- 2015
Towards ending tuberculosis and multidrug-resistant tuberculosis.
This document provides guidance for African Union Member States on actions to be taken to ensure they continue to meet all the health
needs of their citizens in accordance with achieving the objectives of the Africa Health Strategy 2016 – 2030.
The RTA covered UNICEF’s response to COVID-19 from March 2020 – when WHO declared the disease a pandemic – until January 2021. Further, the RTA applied a broad and cross-cutting lens to all 21 UNICEF county offices across the region, focusing on six case study countries: Kenya, Madagascar, Nam...ibia, Somalia, South Africa and Uganda.
In addition to a Regional Analysis Report, the RTA produced six deep-dive reports with findings and lessons specific to the six case study countries mentioned above – all of which can be accessed through the drop-down listing on this page.
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