15 January 2021
This Aide Memoire is for policy makers, immunization programme managers, infection prevention and control (IPC) focal points at national, sub-national, and facility level, as well as for health workers involved in COVID-19 vaccination delivery. This document summarizes the key IPC p...rinciples to consider and the precautions to take for safely delivering COVID-19 vaccines. The principles and recommendations provided in this document derive from World Health Organization (WHO) IPC and immunization standards and other guidance in the context of COVID-19. WHO will update these recommendations as new information becomes available. All technical guidance for COVID-19 is available online.
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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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Cette affiche est destinée au grand public et montre comment prévenir le COVID-19. Il fournit également un numéro de téléphone pour plus d'informations
Unofficial Translation
Approved by the Federal Government on October 20, 2016
Information note of the Global Leaders Group on Antimicrobial Resistance.
Available in English, French, Spanish, Russian, Chinese and Arabic
The MEDBOX Annual Report provides an overview of the most important projects of the past year