Unofficial Translation
Approved by the Federal Government on October 20, 2016
SDG target 3.3: by 2030, end the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, waterborne diseases and other communicable diseases.
HIV/AIDS - Research and Palliative Care 2016:8 183–193
UNAIDS 2016, Reference
HIV care and support taking into account the 2016 WHO consolidated guidelines
A Report on the Application of the HIV Stigma index in the Western highlands and Chimbu provinces
The European Journal of Public Health, Vol. 28, No. 1, 145–149
The Author 2017. Published by Oxford University Press on behalf of the European Public Health Association.
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doi:10.1093/eurpub/ckx122 Advance Access published on 31 August 2017
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Policy Brief
HIV testing services
December 2016
WHO/HIV/2016.21
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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Accessed November 2, 2017
Choko AT et al. Journal of the International AIDS Society 2017, 20:21610 http://www.jiasociety.org/index.php/jias/article/view/21610 | http://dx.doi.org/10.7448/IAS.20.1.21610