Trials (2017) 18:152, DOI 10.1186/s13063-017-1881-z
DHS Comparative Reports No. 42
Further Analysis of the 2011 Ethiopia Demographic and Health
Survey. DHS Further Analysis Reports No. 82
Further Analysis of the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Further Analysis Reports No. 80
Data from the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Trend Reports No. 7
DHS Working Papers No. 124
DHS Analytical Studies No. 55.
DHS Qualitative Research Studies No. 19
The 2017 Global Nutrition Report focuses on 5 key areas and finds that improving nutrition can have a powerful multiplier effect across the SDGs. Indeed, it indicates that it will be a challenge to achieve any SDG without addressing nutrition. The report shows that there is an exciting opportunity t...o achieving global nutrition targets while catalysing other development goals through ‘double duty’ and ‘triple duty’ actions, which tackle malnutrition and other development challenges could yield multiple benefits across the SDGs.
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Background paper prepared for the Education for All Global Monitoring Report 2012
Reports from Kenya, Sierra Leone, China and Sri Lanka
This revision covers the main non-communicable diseases in Mozambique as well as the National Strategic Plan's aim to create a positive environment to minimize or eliminate the exposure to risk factors and guarantee access to care.
DHS Further Analysis Reports No. 107 - This report, based largely on the 2014-15 national survey in Rwanda, focuses on changes and trends in reproductive behavior since 2010. In the 4-5 years after the 2010 survey, fertility continued its decline to 4.2 births per woman as contraceptive prevalence i...ncreased slightly. However, the earlier downward trend in number of children desired appears stalled. This is clearly evident from an increase in the proportions of married women and men who say they want more children. Child mortality has significantly declined and remains strongly related to fertility; while age at marriage has continued to increase. The demographic goals specified in the 1998-99 plan for development, Rwanda Vision 2020, appear on track, but the annual rate of population growth remains high, currently 2.5%, because fertility is high. Furthermore, large numbers of young people are now entering their child-bearing years. Although most trends seem encouraging, especially compared with other countries in sub-Saharan Africa, significant population growth is expected in Rwanda, from 12 to 16 million people by 2030, and to 22 million people by mid-century, even with assumed reductions of fertility.
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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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Regional Network for Equity in Health in east and southern Africa (EQUINET): Disussion Paper 112
The Essential Health Benefit (EHB) is known as Essential Health Care Package (EHCP) in Swaziland. This desk review provides evidence on the experience of EHCPs in Swaziland and includes available po...licy documents and research reports.
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