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C2
Participant Manual
February 2011
Edition 3.0
The Mapping Antimicrobial Resistance and Antimicrobial Use Partnership (MAAP) project has conducted a multi-year, multi-country study that provides stark insights on the under-reported depth of the antimicrobial resistance (AMR) crisis across Africa and lays out urgent policy recommendations to addr...ess the emergency.
MAAP reviewed 819,584 AMR records from 2016-2019, from 205 laboratories across Burkina Faso, Cameroon, Eswatini, Gabon, Ghana, Kenya, Malawi, Nigeria, Senegal, Sierra Leone, Tanzania, Uganda, Zambia, and Zimbabwe. MAAP also reviewed data from 327 hospital and community pharmacies and 16 national-level AMC datasets.
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This regional advocacy strategy on HIV and AIDS, tuberculosis (TB) and sexually transmitted infetions (STIs) is intended for use by Southern African Development Community (SADC) Member States at a national level. This is an overall advocacy strategy highlighting the most important issues relating to... HIV and AIDS, TB and STIs in the Southern African region. It provides a broad advocacy framework for each of the issues identied, along with key targets, messages, and interventions
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National Tuberculosis and Leprosy Conrol Programme
UGANDA NATIONAL TUBERCULOSIS AND LEPROSY CONTROL PROGRAMME
The aim of the framework is to provide guidance to Member States and partners on region-specific priority actions towards the goals, targets and milestones of the GTS. The central pillar of the framework is the adoption of programme phasing and transitioning, aimed at facilitating a tailored approac...h to malaria control/elimination. This is in response to the increasing heterogeneity of malaria epidemiology among and within countries of the region.
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This document describes the key areas that national governments should consider for the introduction and scale-up of point-of-care (POC) diagnostics within national programmes, as new innovative POC technologies are being introduced into the market. The next steps taken to include these new innovati...ons within the broader context of national diagnostic networks of conventional laboratories could influence the achievement of the 2030 Fast Track targets for ending the AIDS epidemic.
POC diagnostics, when strategically introduced and integrated into national diagnostic networks, may help catalyse changes that improve the way diagnostics and clinical services are delivered. This document distils this understanding based on programmatic and market experiences of introducing POC diagnostics through catalytic investments in POC HIV technologies across numerous countries in sub-Saharan Africa. more
POC diagnostics, when strategically introduced and integrated into national diagnostic networks, may help catalyse changes that improve the way diagnostics and clinical services are delivered. This document distils this understanding based on programmatic and market experiences of introducing POC diagnostics through catalytic investments in POC HIV technologies across numerous countries in sub-Saharan Africa. more
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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This study, and similar studies in Kenya, Mozambique, Swaziland, Uganda, and Zambia is the outcome of close collaborative by a team in Swaziland, with technical and financial support from the UNAIDS Regional Support Team for Eastern and Southern Africa, UNAIDS Geneva, and the World Bank's Global HIV.../AIDS Program (Global AIDS Monitoring and Evaluation Team). The study entailed using existing data and collecting new data to better know the country's HIV epidemic, know the country HIV response and how funding was allocated, so as to improve the HIV response and strengthen prevention based on evidence on what works to prevent new infections.
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