International Journal of Infectious Diseases 46 (2016) 56–60
Frontiers in Public Health | www.frontiersin.org 1 June 2017 | Volume 5 | Article 127
HIV/AIDS - Research and Palliative Care 2016:8 183–193
Health and Human Rights Journal
December 2016 / Volume 18 / Number 2 / Papers, 171-182
Human Rights, Minimum Standards and Monitoring at the European and International Levels
Consolidated Guidelines
Geneva, 2016
The End TB Strategy
BMJ,Dodd PJ, et al. Thorax 2017;72:559–575. doi:10.1136/thoraxjnl-2016-209421
Review
published: 12 August 2016 doi: 10.3389/fpubh.2016.00166
Frontiers in Public Health | www.frontiersin.org 1 August 2016 | Volume 4 | Article 166
PLOS ONE | https://doi.org/10.1371/journal.pone.0186835 October 30, 2017
The purpose of this Emergency Response Framework (ERF) is to clarify WHO’s roles and responsibilities in this regard and to provide a common approach for its work in emergencies. Ultimately, the ERF requires WHO to act with urgency and predictability to best serve and be accountable to populations... affected by emergencies.
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Technical Report
AIDS Medicines and diagnostics service
September 2016
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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Thirty-three years after its discovery, the Human Immunodeficiency Virus (HIV), responsible for the AIDS pandemic, remains a major public health problem despite advanced researches providing better diagnostic and therapeutic tools. The virus targets especially CD4+ T cells, leading to deficiency of ...the immune system and altering therefore defense against infections and cancer cells. Antiretroviral
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WHO/UNAIDS 2017 | Statement
Research Article
PLOS Medicine | https://doi.org/10.1371/journal.pmed.1002374 August 8, 2017