Accessed online August 2018
Rural Development through decent work
Themes: Rural Policy Briefs
PLOS Medicine | DOI:10.1371/journal.pmed.1002088 August 23, 2016
Technical Report
AIDS Medicines and diagnostics service
September 2016
Yu et al. BMC Public Health (2018) 18:825 https://doi.org/10.1186/s12889-018-5731-z
Research Article
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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Supplement Article
J Acquir Immune Defic Syndr Volume 75, Supplement 2, June 1, 2017 www.jaids.com
Developed by the HHS Panel on Treatment of Pregnant Women with HIV Infection and Prevention of Perinatal Transmission—
A Working Group of the Office of AIDS Research Advisory Council (OARAC)
Accessed: 12.02.2020
Compendium of Case Studies
Supplement Article
Antiretrovirals to Prevent HIV Infection • CID 2015:60 (Suppl 3) • S159 - S160
Module 8
Site Planning
July 2017
Module 8: Site planning. This module is for people involved in organizing PrEP services at specific sites. It outlines the steps to be taken in planning a PrEP service and gives suggestions for personnel, infrastructure and commodities that could be considered... when implementing PrEP.
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Eaton JW et al. Journal of the International AIDS Society 2019, 22(S1):e25237 http://onlinelibrary.wiley.com/doi/10.1002/jia2.25237/full | https://doi.org/10.1002/jia2.25237
Johnson CC et al. Journal of the International AIDS Society 2017, 20:21594 http://www.jiasociety.org/index.php/jias/article/view/21594 | https://doi.org/10.7448/IAS.20.1.21594
Research Article
Karo et al. BMC Infectious Diseases 2014, 14:148 http://www.biomedcentral.com/1471-2334/14/148
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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Severe bacterial infections are a leading cause of morbidity and mortality among people with advanced HIV disease, after tuberculosis and cryptococcal disease. For countries to reach the end-AIDS targets for 2030, there is a need to establish a roadmap for managing severe bacterial infections and re...duce mortality. The purpose of the meeting was to
Review the current research and implementation data on the use of prophylactic antibiotics (specifically azithromycin/macrolides) as part of the AHD package of care; To review options for preventing SBIs that are in line with goals of reducing AMR; Present the current evidence on diagnostics for SBI; Discuss research gaps and implementation challenges.
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This policy brief describes key HIV viral load thresholds and the available viral load testing approaches for monitoring how well antiretroviral therapy is working for people living with HIV. It provides clarification for and elaborates upon the current treatment monitoring algorithm from the Consol...idated guidelines on HIV prevention, testing, treatment, service delivery and monitoring: recommendations for a public health approach.
This information can help people living with HIV to live healthy lives, ensure that HIV is not transmitted to other people and support policy-makers in determining the optimal allocation of resources for viral load testing and communicating the results.
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