…voices of persons with disabilities - Part 1
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
The report studied child poverty in nine dimensions – development/stunting, nutrition, health, water, sanitation, and housing. Other dimensions included education, health related knowledge, and information and participation.
An estimated 36 million of a total population of 41 million children und...er the age of 18 in Ethiopia are multi-dimensionally poor, meaning they are deprived of basic goods and services in at least three dimensions
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Myanmar’s transition to a market‐based economy is accompanied by rapid development of the private manufacturing sector, which has large potential for improving economic growth. The overall success of the sector, however, should not be taken for granted. Future advances will greatly depend on th...e policy and business environment in which manufacturing activities take place. It is, therefore, important to better understand the business environment and help inform policies conducive to sustainable economic growth.
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Data on the essential building blocks of mental health systems, including mental health
governance, financing, service delivery, human resources and information, are reported. For
mental health planning, it is important to know not only the level of resources in these six areas,
but also how thos...e resources are being organized and utilized. Thus, data on efficiency, access,
equity, linkages with other sectors and respect for human rights are reported as well.
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