DHS Further Analysis Reports No. 109 - This report documents trends in key child nutrition indicators in Rwanda. Data from the Demographic and Health Surveys (DHS) in 2005, 2010, and 2014-15 were analyzed, disaggregated by selected equity-related variables, and tested for trends. Over the survey per...iod, Rwanda had high rates of exclusive breastfeeding, with regional variation. Rates of continued breastfeeding were also high but generally decreased as mother’s education and household wealth increased in all survey years. Complementary feeding practices varied by region, mother’s education, household wealth, urban-rural residence, and sex of the child.
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Supplement Article
Antiretrovirals to Prevent HIV Infection • CID 2015:60 (Suppl 3) • S159 - S160
In this edition, medicines used in ICU, haemodialysis and chemotherapy unit has also been added under NEML. The medicines under disinfectants and antiseptics, intrauterine devices and barrier methods under contraceptives has been deleted and moved to medical supplies and equipment list. A section... on traditional essential medicines list is also included at the end of the NEML
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Profile of health crisis response of area, city or district in indonesia with high risk of natural disaster : Bengkulu City, Indonesia
Profile of health crisis response of cities, area or districts in Indonesia with high risk of natural disaster : District of Kolaka, Indonesia
Informe de reunión (Ciudad de Panamá, 21 y 22 de octubre del 2019)
Rashtriya Bal Swasthya Karykram (RBSK). Operational Guidelines
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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…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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