This document aims to provide concrete, pragmatic guidance for how TB modelling and related technical assistance is undertaken to support country decision-making. The target audience for this document are the participants and stakeholders in country-level TB modelling efforts, including the individu...als who build and apply models; policy-makers, technical experts and other members of the TB community; international funding and technical partners; and individuals and organizations engaged in supporting TB policy-making.
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DEVELOPMENT BULLETIN | No.74, June 2011 | Editor: Pamela Thomas | Features and case studies | Progress with implementing conventions and strategies | Progress with capacity building | Progress with disability-inclusive education | Disability-inclusive research | Innovative inclusion | Review of urba...nisation in the Pacific | Development assistance and disability
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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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Collection of country-level good practices
A practitioner’s guide to the principles of COVID-19 vaccine communications.
The factors that lead people to make choices to take vaccines are nuanced and affected by how they see the world, their perceptions of the choices people like them will make, who they trust, their perceptions of risk,... consistency of message and convenience of actually getting the vaccine.
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The Compendium brings together for the first time key consensus-based policy recommendations and guidance to improve the delivery of proven interventions to women and children. The user-friendly format incorporates icons and tabs to present key health-related policies that support the delivery of es...sential RMNCH interventions. It also includes multisectoral policies on the economic, social, technological and environmental factors that influence health outcomes and service delivery. The Policy Compendium is a companion document to the Essential Interventions, Commodities and Guidelines for RMNCH.
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Indicators for monitoring the 2016 United Nations Political Declaration on Ending AIDS
UNAIDS supports countries to collect information on their national HIV responses through the Global AIDS Monitoring (GAM) framework—an annual collection of 72 indicators on the response to HIV in a country.... These data form part of the data set used to report back to the General Assembly.
Different from the HIV epidemiological estimates that countries produce for data on the state of the epidemic in a country—that is, data for making estimates on the number of people living with HIV, AIDS-related deaths, etc.—GAM collects information on HIV programmes, including the number of people living with HIV who know their HIV status and people on HIV treatment, and on stigma and discrimination. A full list of the indicators is given in the GAM guidelines.
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UNAIDS 2018, Guidance
Indicators for monitoring the
2016 Political Declaration on Ending AIDS