DHS Analytical Studies No. 36
DHS Working Papers No. 89
DHS Working Papers No. 123
The preparedness strengthening team deployed to Ghana focused on specific objectives in order to assist the country in becoming as operationally prepared as possible to detect, investigate and report potential EVD cases effectively and safely and to mount an effective response to prevent a larger o...utbreak. To accomplish this goal, the team conducted “scoping” activities, stakeholder meetings, site visits and a “table-top” simulation exercise to determine what systems were in place and what aspects of preparedness could be strengthened.
It is organized in 10 components of the WHO consolidated checklist for EVD preparedness: 1) planning and coordination; 2) epidemiological and laboratory surveillance; 3) rapid response teams; 4) contact tracing; 5) points of entry; 6) laboratory; 7) case management; 8) infection prevention and control; 9) social mobilization and risk communication; 10) budget.
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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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Reporting system for the general public - This document aims to provide practical guidelines on how to set up national systems for consumers to report adverse reactions to medicines. The purpose is to help countries set up a well-organized and effective consumer reporting system within their pharmac...ovigilance centre. Throughout this document, the phrase “consumer reporting” is used to refer to reporting of adverse drug reactions (ADRs) by the general public.
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The CDAC Network commissioned a practice guide to draw both on their experiences and many others’ in order to document approaches, practices and tools to working with rumors. It is aimed primarily at humanitarian programme managers and field staff to provide them with practical tips on how to work... with rumors in their response programs in a way that is achievable amid competing demands.
Part One focuses on some of the theory behind rumors: the definition, nature and importance of rumors, and why we need to work with them.
Part Two explains the key steps and considerations to identifying and addressing rumous: listening, verifying and engaging.
Part Three examines different roles and responsibilities in working with rumous, and how anticipation, coordination and partnerships can enhance what you do.
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Revided Version
September 2013
What every clinician should know