Guidelines
June 2017
HIV strategic information for impact
Psychiatry and Pediatrics
Chapter I.4
This report is produced by the UNDAC Team in Lima. It is developed in collaboration with the partners of the National Humanitarian Network (RHN). It covers the period from 27 to 30 March 2017. The next report will be issued around April 3, 2017
The report reflects on the trends, achievements and challenges in global health over the past decade during which Dr Margaret Chan has been Director-General of WHO. It discusses the role of WHO in dealing with such issues as the rise of noncommunicable diseases, leaps in life expectancy, and emergin...g threats like climate change and antimicrobial resistance.
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Tsetse traps and targets (insecticide-impregnated screens) function by attracting the flies to a device that collects and/or kills them. Traps can be used for entomological surveillance, and also for control. Targets are simpler than traps, but are not used for surveillance. They are impregnated wit...h biodegradable insecticides in order to kill any flies that alight on them. Traps can also be impregnated with insecticides. Traps and targets can both be used to eliminate a fraction of the tsetse population.
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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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Equity and Quality in Health: a People's Right
Impact Evalution Report 61
A review of available evidence (2016).
28-29 June 2016; Geneva, Switzerland
The END TB strategy.