The Open Infectious Diseases Journal, 2013, 7, (Suppl 1: M6) 54-59
Frontiers in Pediatrics | www.frontiersin.org
1 April 2019 | Volume 7 | Article 159
July 2018
This fourth edition of the Unitaid/WHO market and technology landscape: HIV rapid diagnostic tests for self-testing report summarizes the current HIV testing gap; the challenges facing efforts to scale up; and the potential role HIV self-testing (HIVST) could play to achieve the United... Nation’s 90-90-90 targets. In particular, the report synthesises the existing and emerging market demand and supply of kits.
The information in this report is intended for manufacturers, donors, national programmes, researchers and other global health stakeholders who are exploring the potential role of HIVST.
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This report covers research conducted on HIV stigma and discrimination using the Stigma Index in the Papua New Guinea provinces of Western Highlands and Chimbu*. When Igat Hope began the project the aim was to conduct interviews in all regions of PNG. However, due to funding constraints and organis...ational capacities, the Stigma Index has only been applied in one region, that is, the Highlands Region. In future, the hope is to gather comparable data from other regions in PNG. Despite the fact that the overall project aims have not yet been achieved, the data contained in this report provides useful information that can be considered as work continues in PNG on HIV-related stigma and discrimination and human rights.
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“Follow the Voice of Life”
AIDSTAR-One | Case study series October 2011
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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Nabila El-Bassel, PhD Columbia University
@NabilaElBassel #CUGH2018
Accessed: 26.09.2019
Unofficial Translation
Approved by the Federal Government on October 20, 2016
African Journal of Emergency Medicine
Volume 11, Issue 1, March 2021, Pages 165-170
HIV Testing and Counselling Guidelines