Data from the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Trend Reports No. 7
DHS Further Analysis Reports No 102
One billion people around the world live with disabilities. This report makes the case that they are being “left behind” in the global community’s work on health. This lack of access not only violates the rights of people with disabilities under international law, but UHC and SDG 3 cannot be a...ttained without better health services for the one billion people with disabilities.
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This report is a comprehensive statistical overview of female genital mutilation/cutting (FGM/C) in the 29 countries where the practice is concentrated. Analysis of the data reflects current perspectives on FGM/C, informed by the latest policy, programmatic and theoretical evidence.
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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This report presents, for the first time, a global assessment of the extent to which health care facilities provide essential water, sanitation and hygiene (WASH) services. Drawing on data from 54 low- and middle-income countries, the report concludes that 38% lack access to even rudimentary levels ...of water, 19% lack sanitation and 35% do not have water and soap for handwashing. When a higher level of service is factored in, the situation deteriorates significantly. A number of areas require urgent action and WHO will work with UNICEF, Governments and other partners to develop a global plan to address the most pressing needs and ensure that all health care facilities have WASH services.
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Lessons from a decade of Progress
The information provided here can be used to understand the current situation, increase attention to preterm births in Rwanda and to inform dialogue and action among stakeholders. Data can be used to identify the most important risk factors to target and gaps in care in order to identify and impleme...nt solutions for improved outcomes.
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Vitamin A supplementation (VAS) programs targeted at children aged 6–59 months are implemented in many countries. By improving immune function, vitamin A (VA) reduces mortality associated with measles, diarrhea, and other illnesses. There is currently a debate regarding the relevance of VAS, but a...midst the debate, researchers acknowledge that the majority of nationally-representative data on VA status is outdated. To address this data gap and contribute to the debate, we examined data from 82 countries implementing VAS programs, identified other VA programs, and assessed the recentness of national VA deficiency (VAD) data.
Article published in: Nutrients, 2017, 9, 190
https://doi.org/10.3390/nu9030190
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Policy Brief | April 2015 | This brief accompanies the data sheet, Addressing Risk Factors for Noncommunicable Diseases Among Young People in Africa: Key to Prevention and Sustainable Development, and its data appendix, which provide all available country-specific data on four key NCD risk factors a...mong young people in Africa since 2004. These publications extend an earlier publication, Noncommunicable Disease Risk Factors Among Young People in Africa: Data Availability and Sources. All are available at www.prb.org/Publications/Datasheets/2015/ncd-risk-youth-africa.aspx.
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Previous studies have highlighted a range of individual determinants associated with HIV testing but few have assessed the role of contextual factors. The objective of this paper is to examine the influence of both individual and community-level determinants of HIV testing uptake in Burkina Faso.