In order to better understand the contributing factors of undernutrition in LIFT program areas and the links between child nutritional status and independent variables of programmatic importance to LIFT (such as income, livelihoods, food security, and water, sanitation and hygiene [WASH]), LEARN com...missioned a secondary analysis of nutrition-related data from the 2013 LIFT Household Survey. The purpose of this report is to present the findings of this analysis.
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This profile is part of a series of Climate Risk Country Profiles developed by the World Bank Group (WBG). The country profile
synthesizes most relevant data and information on climate change, disaster risk reduction, and adaptation actions and policies
at the country level. The country profile se...ries are designed as a quick reference source for development practitioners to better
integrate climate resilience in development planning and policy making.
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O resultado de várias análises levadas a cabo por uma missão internacional de consultoria e pelo ministério da saúde de Moçambique serviu de base para a elanboração do plano estratégico de Moçambique 2006-2009, cuja produção consistiu na revisão e actualização do Plano Estratégico 20...03 a 2006.
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13 April 2021 Policy Brief
DEVELOPMENT BULLETIN | No.74, June 2011 | Editor: Pamela Thomas | Features and case studies | Progress with implementing conventions and strategies | Progress with capacity building | Progress with disability-inclusive education | Disability-inclusive research | Innovative inclusion | Review of urba...nisation in the Pacific | Development assistance and disability
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Resources for Religious Leaders and Faith Communities
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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DHS Working Papers No. 69
This paper uses data from the three Indian National Family Health Surveys (1992-93, 1998-99, 2005-06) to examine how the relationship between household wealth and child mortality evolved during a time of significant economic change in India. The main predictor is a new... measure of household wealth that captures changes in wealth over time. Outcomes include neonatal mortality, postneonatal mortality, child mortality, and under-five mortality. Multivariate analysis is conducted at the national, urban, rural, and regional levels.
Results indicate that the overall relationship between household wealth and mortality weakened over time, as evidenced by the coefficients for under-five mortality at the national level.
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