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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Inclusive Project Cycle Management
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.
Pandemics and outbreaks have differential impacts on women and men. From risk of exposure and biological susceptibility to infection to the social and economic implications, individuals’ experiences are likely to vary according to their biological and gender characteristics and... their interaction with other social determinants. Because of this, global and national strategic plans for COVID-19 preparedness and response must be grounded in strong gender analysis and must ensure meaningful participation of affected groups, including women and girls, in decision-making and implementation.
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This document contains guidance for strengthening the disability inclusiveness of MHPSS responses and programmes in emergency settings. It is intended to supplement the IASC Guidelines on Mental Health and Psychosocial Support in Emergency Settings (2007).
Overall Objective
To consider and add...ress the mental health and psychosocial support (MHPSS) requirements of persons living in emergency settings with all types of disabilities on an equal basis to the MHPSS requirements of all persons, using a human rights-based approach and implementing social-ecological frameworks.
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