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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Lancet. 2018 Dec 19. pii: S0140-6736(18)31647-7. doi: 10.1016/S0140-6736(18)31647-7. [Epub ahead of print]
This two-page summary provides a problem analysis of the U.S. cuts in global health and derives concrete recommendations for action for medical actors. The focus is on analyzing the direct effects on health-specific development cooperation.
This booklet shows what disability inclusive development for poverty alleviation looks like in a range of settings and with different challenges through eight case studies of projects funded by CBM Australia through the Australian Government NGO Cooperation Program (ANCP).
The immediate objective of the country visit to Cameroon was to ensure that the country is as operationally ready as possible to effectively and safely detect, investigate and report potential Ebola virus disease cases and to mount an effective response that will prevent a larger outbreak. After te...chnical working group meetings, field visits, a “table-top” exercise and a hospital-based simulation exercises were undertaken.
Key strengths and weaknesses were identified, and the following areas for improvement were proposed to the Ministry of Health: coordination, surveillance, contact tracing, infection prevention and control, rapid response teams, case management, social mobilization, laboratory, points of entry, budget, logistics.
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UNAIDS/WHO Working group
HIV/AIDS and STI surveillance 2015 / Reference
A policy brief highlighting key factors associated with adolescent pregnancy. Adolescent pregnancy undermines girls’ human rights and reduces opportunities to realize their full potential.