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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Amphetamine-type stimulants, new psychoactive substances
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World Drug Report 2017
Accessed: 14.03.2019
Single TB and HIV Concept Note Albania 2016-2018 27 April 2015
Vector-borne diseases are responsible for 17% of the global burden of communicable diseases and more than 500 000 deaths annually. The ambitious global targets for the control of vector-borne diseases come in the context of the (re-)emergence of diseases, increasing resistances to insecticides and u...ncertainty related to the financing of global vector control efforts. The United Nations 2030 Agenda with its related Sustainable Development Goals (SDGs), the New Urban Agenda adopted at the United Nations Conference on Housing and Sustainable Urban Development (Habitat III)
in Quito in 2016 and WHO’s Global vector control response 2017–2030 (WHO, 2017a) emphasize the value of elevating multisectoral actions and strategies that extend beyond the health sector to the core of integrated vector control.
This policy brief underlines the important role housing conditions have in the transmission of vector-borne diseases and showcases interventions and policies the housing sector can contribute to effective, integrated and intersectoral vector-borne diseases management.
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Collection of country-level good practices
Joint Action for Results
UNAIDS Outcome Framework: Business Case 2009–2011
UNICEF trucks water to the camps where people displaced by the conflict have temporarily settled. UNICEF also installed latrines, showers and water storage tanks in the camps and distributed family hygiene kits to protect children against waterborne diseases.
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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Statement
Impact of migration on infectious diseases in Europe | August 2007 | 1-7
Due to the heterogeneous distribution of malaria transmission and its determinants, subnational tailoring (SNT) provides an analytical framework to facilitate the targeting of each population with appropriate intervention packages for maximum impact to inform national strategic planning and prioriti...zation based on resources available. The WHO Global Malaria Programme recommends the use of subnational data on disease epidemiology and other relevant local contextual factors to facilitate the process of SNT. Once the strategies and intervention mixes have been defined, programmes can proceed to the prioritization of
interventions for effective programming, based on available resources
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