12-13 December 2016
Global Action Plan on HIV Drug Resistance - Webinars 12-13 December 2016
STAATSKOERANT, 5 MEI 2015 No. 38763
No. 38763 GOVERNMENT GAZETTE, 5 MAY 2015
General Notice
Notice 295 of 2015
Department of basic education
National education policy act, 1996 (Act No 27 of 1996)
Call for written submissions from stakeholder bodies and members of the public on Departmen...t of basic education draft national policy on HIV, STIs and TB
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An international field study by African and German theologicans and health workers.
Background paper prepared for theEducation for All Global Monitoring Report 2012 Youth and skills: Putting education to work
2012/ED/EFA/MRT/PI/15
This publication by UNAIDS, UNDP and the International Organisation for Migration examines various dimensions related to migration and HIV and AIDS.
The main aim of these guidelines is to enable the central units of national TB and HIV/AIDS programmes to support districts to plan, coordinate and implement collaborative TB/HIV activities. These guidelines reinforce current medical understanding, that highly active antiretroviral treatment (HAART)... has decreased TB incidence of people living with HIV/AIDS. They are comprehensive, giving an overview of the range of activities that could be undertaken in high burden TB/HIV countries or where a rising prevalence of HIV might fuel TB. Activities highlight the need for comprehensive care, prevention and support for adults living with HIV/AIDS. Comprehensive TB and HIV care and prevention rely on full implementation of the DOTS strategy as part of a wide ranging HIV/AIDS care and prevention programme as well as collaborative TB and HIV programme activities.
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The ICAT is a simple and practical approach for assessing the adequacy of existing infection prevention and control practices and provides specific recommendations for improving practices and monitoring their effectiveness over time
Guidelines
June 2017
HIV strategic information for impact
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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