Summary Report
Full report submitted by the Human Sciences Research Council (HSRC) to the South African National AIDS Council (SANAC)
Extract from report of GACVS meeting of 29-30 November 2006, published in the WHO Weekly Epidemiological Record of 19 January 2007
JOURNAL OF THE ASSOCIATION OF NURSES IN AIDS CARE, Vol. 28, No. 2, March/April 2017, 186-198
http://dx.doi.org/10.1016/j.jana.2015.09.003
A Cost-Efficiency Analysis for the Kyrgyz Republi
The document summarizes the infrastructure and activities for Ebola virus disease (EVD) preparedness that are already in place in the Gambia and identifies opportunities for improvement to strengthen the nation’s readiness in the event of an EVD incident.
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.
more
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
Senegal has adopted the World Health Organization–Joint United Nations Programme on HIV/AIDS recommended 90-90-90 targets.5 The adoption of this strategy means that the country is expected, by 2020, to have 90% of its population living with HIV diagnosed, 90% of all those diagnosed receiving susta...ined HIV treatment, and 90% of those receiving antiretroviral therapy having suppressed viral load measures.5 To achieve these outcomes, having good clinical laboratory services for diagnosis and follow-up will be critical.6 More specifically, investments will be needed to improve laboratory infrastructure, and to facilitate the access and availability of routine viral load and early infant diagnosis (EID) measures through the implementation of point-of-care (POC) diagnostic platforms along with an efficient and sustainable quality assurance programme.
more
Module 1q
PrEP users
July 2017
Module 11: PrEP users. This module provides information for people who are interested in taking PrEP to reduce their risk of acquiring HIV and people who are already taking PrEP – to support them in their choice and use of PrEP. This module gives ideas for cou...ntries and organizations implementing PrEP to help them develop their own tools.
more
The World Health Organization (WHO) has recommended a universal antiretroviral therapy (ART) for all HIVinfected children before the age of two since 2010, but this implies an early identification of these infants. We described the Prevention of Mother-to-Child HIV Transmission (PMTCT) cascade, the ...staffing and the quality of infrastructures in pediatric HIV care facilities, in Ouagadougou, Burkina Faso.
more
The COVID-19 pandemic has exposed the inadequacy of investments in public health, the persistence of profound economic and social inequalities and the fragility of many key global systems and approaches.