The 2019 SLDHS is a national sample survey that provides up-to-date information on demographic and health indicators. The sample was selected using a stratified, two-stage cluster design, with enumeration areas (EAs) as the sampling units for the first stage. The second stage was a complete listing ...of households carried out in each of the 578 selected EAs. The target groups were women age 15-49 and men age 15-59 in
randomly selected households across the country. A representative sample of approximately 13,872 households was selected for the survey. Half of the households (6,936) were selected for biomarker and men’s interview. The men’s survey was conducted in half (50%) of the sample households, and all men age 15-59 in these households were included. In this subsample, one eligible woman in each household was randomly selected to be asked additional questions about domestic violence.
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The document "Global Report on Diabetes" by the World Health Organization (WHO) provides an in-depth analysis of diabetes as a global health challenge. It covers the rising prevalence of the disease, the associated risk factors, and the increasing burden on healthcare systems, particularly in low- a...nd middle-income countries. The report discusses strategies for preventing Type 2 diabetes, managing diabetes effectively, and reducing complications through integrated healthcare approaches. It emphasizes the need for global action, national policies, and collaboration across sectors to address diabetes and improve health outcomes worldwide.
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Strengthening Community responses to HIv Treatment and Prevention
Republic of Armenia
Reporting period: January-December 2015
Accessed: 29.09.2019
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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Recommendations for a public health approach
HIV/AIDS Programme
National HIV Strategic Plan 2016-2021
Education material for teachers of midwifery
Midwifery education modules - second edition
The goals of Ebola virus disease (EVD) surveillance during Phase 3 of the Ebola response are to promptly detect new, suspected EVD cases and deaths so as to trigger appropriate response, including rapid diagnosis, case isolation and management, contact tracing, safe burials, and the identification o...f transmission chains
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Evaluation report
September 2014
WHO/CDS/CSR/EDC/99.2 Plague Manual
Epidemiology, Distribution, Surveillance and Control