The Countdown country profile presents in one place the best and latest evidence to enable an assessment of a country’s progress in improving reproductive, maternal, newborn, and child health (RMNCH)
The Myanmar National Framework seeks to achieve people-centered, inclusive, and sustainable socioeconomic development in the face of disasters triggered by natural hazards and climate change. The framework articulates a common understanding, proposes a coherent approach, and identifies potential opp...ortunities for strengthening the resilience of communities in Myanmar.
more
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.
more
The Countdown country profile presents in one place the best and latest evidence to enable an assessment of a country’s progress in improving reproductive, maternal, newborn, and child health (RMNCH)
The Countdown country profile presents in one place the best and latest evidence to enable an assessment of a country’s progress in improving reproductive, maternal, newborn, and child health (RMNCH)
COMMUNITY EYE HEALTH JOURNAL | VOLUME 33 | NUMBER 110 | 2020
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.
more
The COVID-19 pandemic has disproportionately impacted the informal women workers due to lockdowns, curfews, school closures, and all other containment measures- most of which missed the feminist lens in their formulation, enforcement, and reporting. All recovery efforts, therefore, ought to delibera...tely consider the informal sector.
more