National Tuberculosis and Leprosy Conrol Programme
International Conference on AIDS and STIs in Africa (ICASA) 2013 | 7th – 12th December | Cape Town, South Africa
KNCV Tuberculosis Foundation - Your partner in the fight against TB
Accessed November 2017
Working Document, September 2017
Lancet Respir Med 2017; 5: 291–360Vol, 5 April 2017
ПАКЕТ МЕР ПО РЕАЛИЗАЦИИ ПОЛИТИКИ В ОТНОШЕНИИ ВНЕДРЕНИЯ НОВЫХ ПРОТИВОТУБЕРКУЛЕЗНЫХ ПРЕПАРАТОВ
Results of the first national survey, 2013–2014
Regional Analysis. WPSAR Vol 7, No 2, 2016 | doi: 10.5365/wpsar.2015.6.4.010
Summary of key informant interviews with representatives of organizations providing, funding, or supporting WASH services to refugee populations
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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Commissioned by Plan International the report draws on data from research conducted in Bangladesh in April 2018. It explores how adolescent girls within two age brackets (10-14 and 15-19) understand the unique impact the crisis has upon them, and how they have responded to the challenges they face.<...br>
Despite the numbers of adolescent girls affected so profoundly by the ongoing Rohingya crisis, and of course, by many crises around the world, it is rare that either their own communities or the humanitarian sector at large pay much attention to them. This research is an attempt to rectify that: to acknowledge that girls and young women do have rights and that their ideas are worth listening to and acting upon.
Among the many learnings, we discovered that girls feel isolated. They have settled among strangers, and parents worry about their safety, keeping them even more trapped inside their new, makeshift homes.
75% of girls interviewed said they have no ability to make decisions about their own lives.
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