The Global Reference List of 100 Core Health Indicators is a standard set of core indicators prioritized by the global community to provide concise information on the health situation and trends, including responses at national and global levels.
This second (2018) edition builds on the previous ...work of the inter-agency working group that was commissioned by global health leaders to reduce reporting burden. The 2018 list of indicators contains modifications and additions to indicators and metadata elements to reflect the recommended health and health-related indicators of the Sustainable Development Goals, including universal health coverage.
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Chapter 2 in "Latest Findings in Intellectual and Developmental Disabilities Research" Edited by Üner Tan, ISBN 978-953-307-865-6, 404 pages, Publisher: InTech, Chapters published February 15, 2012 under CC BY 3.0 license | Intellectual and Developmental Disabilities presents reports on a wide rang...e of areas in the field of neurological and intellectual disability, including habitual human quadrupedal locomotion with associated cognitive disabilities, Fragile X syndrome, autism spectrum disorders, Down syndrome, and intellectual developmental disability among children in an African setting. Studies are presented from researchers around the world, looking at aspects as wide-ranging as the genetics behind the conditions to new and innovative therapeutic approaches. (All chapters available online: https://www.intechopen.com/books/latest-findings-in-intellectual-and-developmental-disabilities-research)
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Locate, test, treat and retain (L2TR) Ghana campaign. 90-90-90 ending the AIDS epedemic by 2030
The toolkit is a collection of assessment tools and checklists that describe the key considerations to be taken into account when transitioning to Option B/B+. The toolkit provides a roadmap to support the planning and implementation of Option B/B+, and to help countries scale up more effective inte...rventions and programs to achieve the goals of the Global Plan Towards the Elimination of New HIV Infections among Children by 2015 and Keeping their Mothers Alive.
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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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Biennial Report of the Regional Director
DHS Further Analysis Reports No. 108 - This report examines levels, trends, and inequalities in maternal health in Rwanda from 2010 to 2014-15 among women age 15-49 with a recent birth. The analysis uses Demographic and Health Survey (DHS) data for 15 key indicators of maternal health: 6 for antenat...al care, 3 for delivery, 1 for postnatal care, and 5 for barriers to accessing medical care. Levels and trends in these indicators were analyzed overall and by three background characteristics: women’s education, household wealth quintile, and region.
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‘Do not underestimate the capacity of the community; they are smarter and more capable than you think’
Assessing the impact of the EVD outbreak on health systems in Sierra Leone. Survey concluded 6-17 October 2014