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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Single TB and HIV Concept Note Albania 2016-2018 27 April 2015
The Compendium brings together for the first time key consensus-based policy recommendations and guidance to improve the delivery of proven interventions to women and children. The user-friendly format incorporates icons and tabs to present key health-related policies that support the delivery of es...sential RMNCH interventions. It also includes multisectoral policies on the economic, social, technological and environmental factors that influence health outcomes and service delivery. The Policy Compendium is a companion document to the Essential Interventions, Commodities and Guidelines for RMNCH.
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HIV Testing and Counselling Guidelines
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 seri...es are designed as a quick reference source for development practitioners to better integrate climate resilience in development planning and policy making. This effort is managed and led by Veronique Morin (Senior Climate Change Specialist, WBG) and Ana E. Bucher (Senior Climate Change Specialist, WBG)
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Impact Evalution Report 61
Myanmar’s transition to a market‐based economy is accompanied by rapid development of the private manufacturing sector, which has large potential for improving economic growth. The overall success of the sector, however, should not be taken for granted. Future advances will greatly depend on th...e policy and business environment in which manufacturing activities take place. It is, therefore, important to better understand the business environment and help inform policies conducive to sustainable economic growth.
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This document has been developed as a guide to allinstitutions producing health care waste in planning and implementation of interventions that will reduce mismanagement of hazardous waste in Zambia.The National Health-Care Waste Management Plan for 2015 to 2019 provides an overv...iew of the situation analysis, the proposed activities and the health care facility waste generating processes in Zambia and presents options for minimizing health-care waste generation through source reduction. The hazardous wastes generated by health care facilities are a challenge in Zambia as handling, storage, transportation and final disposal leaves much to be desired.
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IN THE AMOUNT OF SDR 21.8 MILLION (US$30 MILLION EQUIVALENT) WITH AN ADDITIONAL GRANT FROM THE GLOBAL FINANCING FACILITY (GFF) IN THE AMOUNT OF US$ 10 MILLION TO THE DEMOCRATIC REPUBLIC OF CONGO FOR A HUMAN DEVELOPMENT SYSTEMS STRENGTHENING PROJECT