Good practice guide
Supporting community action on HIV, health and rights to end AIDS
National Guidelines for HIV & AIDS Care and Treatment (5th Edition)
PLOS ONE | www.plosone.org 1
December 2013 | Volume 8 | Issue 12 | e82027
Bishkek 2015
Accessed: 26.09.2019
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.
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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
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.
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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.
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Testing men for HIV during their partner’s pregnancy can guide couples-based HIV prevention and treatment, but testing rates remain low. We investigated a combination approach, using evidence-based strategies, to increase HIV testing in male partners of HIV-positive and HIV-negative ...pregnant women.
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Global HIV control funding falls short of need. To maximize health outcomes, it is critical that national governments sustain reasonable commitments, and that international donor assistance be distributed according to country needs and funding gaps. We develop a country classification framework in t...erms of actual versus expected national domestic funding, considering resource needs and donor financing. With UNAIDS and World Bank data, we examine domestic and donor HIV program funding in relation to need in 84 low- and middle-income countries. We estimate expected domestic contributions per person living with HIV (PLWH) as a function of per capita income, relative size of the health sector, and per capita foreign debt service.
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