DEMOGRAPHIC AND HEALTH SURVEYS DHS WORKING PAPERS 2015 No. 117
Further Analysis of the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No. 83
Further Analysis of the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No. 81
Further Analysis of the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No. 79
Further Analysis of the 2010 and 2014 Cambodia Demographic and Health Surveys | DHS Further Analysis Reports No. 104
Further Analysis of the 2000, 2005, and 2011 Demographic Health Surveys. DHS Further Analysis Reports No. 72
Further analysis of the Nepal Demographic and Health Surveys, 2001-2011
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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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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General fact sheet in booklet form about the 2014-2015 Demographic and Health Survey conducted in Rwanda. The 2010 Rwanda Demographic and Health Survey (RDHS) provides up-to-date information on the population and health situation in Rwanda. The 2010 RDHS is the fifth national Demographic and Health ...Survey conducted in the country. Repeated surveys allow for an analysis of trends over time. The survey is based on a nationally representative sample. It provides estimates at the national and provincial levels.
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DHS Further Analysis Reports No. 88 - This further analysis examines levels, trends, and determinants of neonatal mortality in Rwanda, using data from the 2000, 2005, and 2010 Rwanda Demographic and Health Surveys (RDHS).
Accessed Online June 2018 | Single-page summary highlighting trends in modern contraceptive prevalence in Rwanda using data from the Demographic & Health Surveys.
Accessed on 01.03.2020
Since its inception in 1995, the Multiple Indicator Cluster Surveys, known as MICS, has become the largest source of statistically sound and internationally comparable data on women and children worldwide. In countries as diverse as Costa Rica, Mali and Qatar, trained field...work teams conduct face-to-face interviews with household members on a variety of topics – focusing mainly on those issues that directly affect the lives of children and women.
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Since 2001, several Demographic and Health Surveys (DHS) include HIV
testing. For many countries, in particular in sub-Saharan Africa, DHS are
the only national source of data in general population. Several DHS collect
latitude and longitude of surveyed clusters but the sampling method is not
ap...propriate to derive local estimates: sample size is not large enough for a
direct spatial interpolation.
We developed a generic approach to map spatial regional trends of HIV
prevalence from DHS. We present how our results from Burkina Faso 2003
DHS shed new light on HIV epidemics.
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Encuesta Demográfica y de salud familiar. Resumen ejecutivo
République de Guinée . Rapport final