Global Atlas of medical devices 5 August 2017
WHO medical devices technical series
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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Lancet. 2018 Dec 19. pii: S0140-6736(18)31647-7. doi: 10.1016/S0140-6736(18)31647-7. [Epub ahead of print]
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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India AIDS Response Report 2014
Country Profile for MDSR Implementation
Policy briefs produced for FP2020 and other countries, presenting analysis of Family Planning Effort (FPE) scores from the current and previous rounds. Research and policy implications based on the analyses are also presented.
Climate change, conflict, COVID-19, and gender inequality impacts food security globally. Together with the Ukraine conflict, the food crisis across the world is worsening. UN Women’s Zero Hunger Sustainable Development Goal Map shows that 49.7% of people are facing moderate or severe food insecur...ity in Guatemala, 45.6% in Honduras, and 32.7% in Ecuador. Increasing prices of energy, fertilizer, and agriculture inputs are also raising the prices of food and food production.
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Journal of Microbiology and Infectious Diseases / 2015; 5 (3): 110-113
JMID, doi: 10.5799/ahinjs.02.2015.03.0187