CBM and the Global Campaign for Education 2014
COUNCIL REGULATION (EC) No 343/2003 of 18 February 2003 establishing the criteria and mechanisms for determining the Member State responsible for examining
an asylum application lodged in one of the Member States by a third-country national
Weekly Epidemiological Record. This report summarizes application of the SAFE strategy against trachoma during 2023. It includes estimates of the global population at risk of trachoma blindness based on district-by-district data submitted to WHO by national programmes. Summarizing the epidemiologica...l situation in this way is inherently complex because, for any district, up to 3 serial estimates of prevalence may be valid at different times during a calendar year.
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Cureus 2024 Jan 16;16(1):e52358. doi: 10.7759/cureus.52358
Lancet Glob Health 2022; 10: e491–500
Climate change is a major risk to good development outcomes, and the World Bank Group is committed to playing an important role in helping countries integrate climate action into their core development agendas. The World Bank Group is committed to supporting client countries to invest in and build a... low-carbon, climate-resilient future, helping them to be better prepared to adapt to current and future climate impacts.
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Twenty-Fourth Annual Trachoma Control Program Review, Summary Proceedings
The "GOLD Patient Guide 2019" explains Chronic Obstructive Pulmonary Disease (COPD), its causes, symptoms, and stages. It provides practical advice for managing COPD, including the importance of quitting smoking, following medical treatment plans, exercising, maintaining a healthy diet, and creating... a supportive living environment. The guide emphasizes early diagnosis, regular medical checkups, and strategies for managing severe COPD to improve quality of life.
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…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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