HIV, viral hepatitis and STI epidemics, particularly among people who inject drugs and other key populations, continue to be fuelled by laws and policies criminalizing sex work; drug use or possession; diverse forms of gender expression and sexuality; stigma and discrimination; gender discrimination...; violence; lack of community empowerment and other violations of human rights. These sociostructural factors limit access to health services, constrain how these services are
delivered and diminish their effectiveness.
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Ce document fournit des orientations provisoires sur la qualité, les caractéristiques de performance et les normes connexes des équipements de protection individuelle (EPI) à utiliser dans le contexte de COVID-19. Il s'agit notamment des dispositifs médicaux prioritaires de l'OMS, à savoir : l...es masques chirurgicaux, les masques non chirurgicaux, les gants, les lunettes de protection, les écrans faciaux, les blouses et les masques N95. Il est destiné aux organismes d'approvisionnement, aux services de santé au travail, aux services ou points focaux de prévention et de contrôle des infections, aux administrateurs d'établissements de santé, aux ingénieurs biomédicaux et des matériaux, aux fabricants d'EPI et aux autorités de santé publique, tant au niveau national qu'au niveau des établissements.
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“Follow the Voice of Life”
AIDSTAR-One | Case study series October 2011
Republic of Armenia
Reporting period: January-December 2015
Accessed: 29.09.2019
Weekly Epidemiological Record. This report summarizes application of the SAFE strategy against trachoma during 2023. It includes estimates of the global population at risk of trachoma blindness based on district-by-district data submitted to WHO by national programmes. Summarizing the epidemiologica...l situation in this way is inherently complex because, for any district, up to 3 serial estimates of prevalence may be valid at different times during a calendar year.
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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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A Handbook for country programmes
Collection of country-level good practices
Severe acute respiratory infections treatment centre: practical manual to set up and manage a SARI treatment centre and a SARI screening facility in health care facilities