Saving Lives Through Safe Surgery (SaLTS)
n October 2019, WHO convened the first meeting of the Buruli ulcer laboratory network (BU-LABNET) in Yaoundé, Cameroon, bringing together 11 laboratories from nine countries at the Pasteur Centre of Cameroon (CPC), the network’s Coordinating Centre. The network was formally established at th...is meeting (1) and its members were those present. The objective of BU LABNET is to improve diagnosis of Buruli ulcer based on polymerase chain reaction (PCR) using standardized testing protocols, involving external quality assurance programmes and sharing knowledge among member laboratories.
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Since there is no single objective diagnostic test for asthma this study suggests an approach of collecting and assembling pieces of clinical information to create a diagnostic picture, like making a jigsaw puzzle. These pieces should include demonstration of symptom and airway variability and/or br...onchodilator responsiveness over time, to support a clinical diagnosis.
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From choice, a world of possibilities
Compiled by Tin Geber for HIVOS. London, March 2018
The document provides detailed guidelines for the production, formulation, and implementation of oral rehydration salts (ORS) to combat dehydration caused by diarrhoea, particularly in children. It focuses on the composition, quality standards, and packaging requirements of ORS, aiming to support na...tional authorities and healthcare providers in ensuring effective and accessible treatment. It also highlights strategies for manufacturing ORS locally while adhering to international health and safety standards.
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Центр лечения тяжелых острых респираторных инфекцийПрактическое руководство по организации центра лечения ТОРИ ицентра проведения скрининга на ТОРИ на базе мед...цинских учреждений
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Health Services Insights Volume 10: 1–7
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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