Data from the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Trend Reports No. 7
FOLLOW-UP TO THE 2011 POLITICAL DECLARATION ON HIV/AIDS: INTENSIFYING EFFORTS TO ELIMINATE HIV/AIDS | Reporting Period: January – December 2014
DHS Working Papers No. 114
This guide is intended for shelter operators, planners, and staff, as well as emergency managers, public health professionals, and radiation protection professionals who participate in shelter planning and could be called upon to support shelter operations. This guide provides information on the inc...ident-specific considerations that shelter operators will
need to take into account in a radiation emergency. Shelter operations include other mass care and emergency assistance activities that are required to support a sheltered population, such as feeding, providing essential supplies, and assisting with reunification of family and friends. Guidance to support such activities can be found in other planning resources. The information in this guide is intended to complement, not supplant, existing shelter protocols and responsibilities.
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BMC Health Services Research BMC series – open, inclusive and trusted201818:251; https://doi.org/10.1186/s12913-018-3072-3
In aquaculture, antibiotics have been used mainly for therapeutic purposes and as prophylactic agents. The contribution to antimicrobial resistance of antibiotics used in aquaculture is reviewed here, using a risk analysis framework. Some recommendations on responsible conduct in this context are pr...oposed, aimed at diminishing the threat of build up of antimicrobial resistance.
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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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