DHS Working Papers No. 113
The five thematic discussion papers in this collection were prepared by members of the Global Prevention Coalition Steering Group and other experts from various institutions and countries. Contributors are listed in alphabetical order. The five papers are meant to inform country consultations and th
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e development of a Global HIV Prevention Roadmap. They do not reflect the views of UNAIDS or any other agency or organization.
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The first chapter provides an overview of gender and domestic violence in the HIV and AIDS discourse and their interconnect-
edness. It analyses literature regarding gender and HIV transmission, do
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mestic violence, and HIV and AIDS. It then discusses how gender roles impact the effects of AIDS.
The second chapter outlines implications of these findings for policy and practice. This section provides a definition for mainstreaming and deals with various aspects of mainstreaming HIV, AIDS and gender.
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The aim of the operational framework is to ensure 1) accurate collection, handling, shipment and storage of specimens collected in countries implementing HIV drug resistance surveillance; and 2) the availability of quality-assured
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HIV genotyping laboratory services producing comparable and reliable results at the national, regional and global levels.
This publication updates the WHO HIVResNet HIV drug resistance laboratory operational framework published in 2017 and reflects technical and strategic developments over the past three years.
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The coronavirus outbreak that began in 2019 (COVID-19) threatens to reverse years of hard-won gains in preventing and treating HIV. Fragile health systems are further stressed as health workers navigate an increased client load and demands at work w
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hile also being concerned for their own health and that of their families. Health facilities have been redesigned to care for patients with COVID-19, posing challenges to other services. Governments and civil society organizations have redirected scarce resources and shifted programming priorities to respond to the pandemic. Several countries have reported intermittent declines in HIV testing and diagnosis, antenatal care visits, collection of antiretroviral medicines (ARVs) by people living with HIV, and attendance at clinic appointments. Community-based education and support programmes have had to rapidly adapt to restrictions on movement and public gatherings. Children, adolescents, and women have experienced multiple deprivations due to the adverse impact of the pandemic.
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Provide guidance to HIV care practitioners on the optimal use of antiretroviral (ARV) agents for the treatment of HIV infection in adults and adolescents.
PLOS Currents Outbreaks. 2015 Aug 4 . Edition 1. doi:
10.1371/currents.outbreaks.0b0ba06009dd091bc39ddb3c6d7b0826
This guideline provides health policy-makers and decision-makers in health professional training institutions with advice on the rationale for health-care providers’ use of counselling skills to address sexual health concerns in a primary health care setting
Accessed November 2, 2017
Recommendations and Reports: Evidence For Action Briefing Paper Issue 06, December 2010
Briefing Paper, December 2010, Issue 06
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 miscl
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assification 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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