CBM and the Global Campaign for Education 2014
Santé de l’enfant au Sénégal selon l’Enquête Continue 2014
Orientations provisoires 2 novembre 2020
Ces orientations provisoires sont une mise à jour de la version précédente publiée le 31 mai 2020, en anglais, sous le titre « Harmonized modules for health facility assessment modules in the context of the COVID-19 pandemic: interi...m guidance ». Cette mise à jour a permis d’affiner et de développer davantage le contenu des modules.
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19 March 2020
Technical documentation
The purpose of this document is to offer guidance to Member States on quarantine measures for individuals in the context of COVID-19. It is intended for those responsible for establishing local or national policy for quarantine of individuals, and adherence ...to infection prevention and control measures.
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Ces recommandations donnent aux personnes et aux familles vivant dans les zones touchées par le virus Ebola l'essentiel des conduites à tenir pour se protéger d'une maladie mortelle
…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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Tuberculosis "Disease of Many, everyone's fight''