PLoS Negl Trop Dis 16(11): e0010908. https://doi.org/10.1371/journal.pntd.0010908
The Zithromax® Supply Chain Assessment Tool is designed to guide assessment team members through a series of interviews
with key informants and to establish inspection procedures when conducting logistics field assessments. The protocol allows
the assessment team to examine the readiness of the N...ational Trachoma Control Program and the District- level health
management structures to receive, manage, distribute and administer donated Zithromax® for mass drug administrati
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Sexual and Reproductive Health
Bangladesh Health Systems in Transition
A One Health Response. A Briefing Note
People in prisons and other places of detention live in a closed environment and in close proximity with one another – conditions that facilitate transmission of diseases. They also have a greater underlying burden of disease and worse health conditions than the general population, and frequently ...face greater exposure to risks such as smoking, poor hygiene and weak immune defence due to stress, poor nutrition or existing diseases. All these factors make people living in prison more susceptible to infections.
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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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