· Relevant interventions
· HIV country profiles
· Adolescents country profiles
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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An international field study by African and German theologicans and health workers.
Provide guidance to HIV care practitioners on the optimal use of antiretroviral (ARV) agents for the treatment of HIV infection in adults and adolescents.
Accessed November 2, 2017
Research Article
Hindawi
BioMed Research International
Volume 2018, Article ID 9619684, 10 pages https://doi.org/10.1155/2018/9619684
Supplement Article
J Acquir Immune Defic Syndr Volume 75, Supplement 2, June 1, 2017 www.jaids.com
Módulo 1
Clínico
Julho de 2017
Módulo 1: Clínico. Este módulo é destinado a profissionais de saúde como médicos, enfermeiros e auxiliares e traz um resumo sobre como prover a PrEP de forma segura e efetiva, abordando vários aspectos: triagem de pessoas com risco substancial de contr...air o HIV;
ódulo 1: Clínico. Este módulo é destinado a profissionais de saúde como médicos, enfermeiros e auxiliares e traz um resumo sobre como prover a PrEP de forma segura e efetiva, abordando vários aspectos: triagem de pessoas com risco substancial de contrair o HIV; testagem de HIV antes de iniciar a PrEP e como acompanhar usuários de PrEP e oferecer aconselhamento sobre adesão.
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Dziva Chikwari et al. Implementation Science (2018) 13:70 https://doi.org/10.1186/s13012-018-0762-5
This report reviews the latest evidence on what works to reduce HIV-related stigma and discrimination through key programmes to reduce stigma and discrimination and increase access to justice in the six settings of focus for the Global Partnership. It includes guidance for national governments and k...ey stakeholders on how stigma and discrimination harm; how the stigmatization process operates and how we can stop it; key principles of stigma- and discrimination-reduction efforts; an overview of common intervention approaches; recommendations based on the latest evidence for reducing HIV-related stigma and discrimination in the six settings; and an overview of considerations for monitoring the success of the programmatic interventions recommended for each setting.
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Strategic communication is used to raise awareness of issues among specific target populations. It aims to provide timely, evidence-based, authoritative information and guidance needed for public health action. Proper implementation of strategic communication leads t...o sustained behaviour change and is essential in overcoming barriers to access to services or generating demand for such services.
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Milestones in the treatment, care and support, Dec 2021