Towards Malaria Elimination
A compendium of TB REACH case studies, lessons learned and a monitoring and evaluation framework.
Accessed November 2017.
DHS WORKING PAPERS 2016 No. 126 | DEMOGRAPHIC AND HEALTH SURVEYS
Male and Female Respondents Interviewed Along the Central and the Eastern Mediterranean Routes in 2017
9,483 surveys conducted with migrants in Italy, Bulgaria, Greece, Hungary, Kosovo, Montenegro, Romania, Serbia and The former Yugoslav Republic of Macedonia, in 2017
(Research Report)
This assessment relies on semi-structured interviews with 28 purposely-selected Afghan returnees who migrated to Europe and returned to Afghanistan between 2014 and 2017. Through these interviews, the assessment seeks to better understand the socio-economic profile of Afghans retu...rning from Europe, to identify the motivations behind their return, and to investigate the challenges and vulnerabilities they face once they arrive in Afghanistan.
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The Standard consists of nine key inclusion standards, and seven sets of sector-specific inclusion standards for protection – water, sanitation and hygiene, food security and livelihoods, nutrition, shelter, settlement and household items, health and education. Each standard comes with key actions..., guidance, tools and resources.
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In 2018, the Food and Agriculture Organization of the United Nations (FAO) in South Sudan must respond to the highest levels of food insecurity ever recorded in the country. To address this challenge, FAO revised its multiyear Emergency Livelihood Response Programme (ELRP) to enable rapid food produ...ction among the most vulnerable communities, protect their livelihoods and reduce dependency on humanitarian aid while building their resilience.
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The 2013 RMIS is a nationally representative, household-based survey that provides data on malaria indicators, which are used to assess the progress of a malaria control program. The primary objective of the 2013 Rwanda Malaria Indicator Survey (2013 RMIS) was to provide up-to date information on th...e prevention of malaria to policymakers, planners, and researchers.
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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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