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DOI10.5281/zenodo.344972
DHS Further Analysis Reports No. 103
DHS Further Analysis Reports No 102
DHS Further Analysis Reports No. 101
Spousal Gender-Based Violence and Women’s Empowerment in the 2010-2011 Zimbabwe Demographic and Health Survey
Netsayi Wekwete, Naomi, Hamfrey Sanhokwe, Wellington Murenjekwa, Felicia Takavarasha, and Nyasha Madzingira.
ICF International
(2014)
C2
DHS Working Papers No. 108 | Zimbabwe Working Papers
No. 9
Guatemala National Disability Study (Endis 2016) Main Report
International Centre for Evidence in Disability (ICED)
London School of Hygiene & Tropical Medicine
(2017)
C2
www.jogh.org • doi: 10.7189/jogh.02.020405 ~ December 2012 • Vol. 2 No. 2 • 020405
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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لإسعافات الأولية النفسية: دليل العاملين في الميدان
This guide covers psychological first aid which involves humane, supportive and practical help to fellow human beings suffering serious crisis events. It is written for people in a position to help other
...
s who have experienced an extremely distressing event. It gives a framework for supporting people in ways that respect their dignity, culture and abilitiies.
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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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