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Christopher J L Murray

Researcher at Institute for Health Metrics and Evaluation

Publications -  833
Citations -  393064

Christopher J L Murray is an academic researcher from Institute for Health Metrics and Evaluation. The author has contributed to research in topics: Population & Mortality rate. The author has an hindex of 209, co-authored 754 publications receiving 310329 citations. Previous affiliations of Christopher J L Murray include Harvard University & University of Washington.

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The Global Nutrient Database: availability of macronutrients and micronutrients in 195 countries from 1980 to 2013.

TL;DR: The global nutrient database provides a picture of the supply of various nutrients at the country level and can be useful to assess the performance of national food systems in addressing the nutritional needs of their population.

Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013

Mohammad H. Forouzanfar, +720 more
TL;DR: The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) as mentioned in this paper provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution.
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Burden of cardiovascular diseases in the Eastern Mediterranean Region, 1990–2015: findings from the Global Burden of Disease 2015 study

TL;DR: The age-standardized DALY rates in the EMR are considerably higher than the global average, and these findings call for a comprehensive approach to prevent and control the burden of CVD in the region.
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Should Data from Demographic Surveillance Systems Be Made More Widely Available to Researchers

TL;DR: Chandramohan et al. as discussed by the authors argue that the major obstacles to sharing data are technical, managerial, and financial rather than proprietorial concerns about analysis and publication, and argue that DSS data in the INDEPTH database should be made available to all researchers worldwide, not just to those within the International Network for the Continuous Demographic Evaluation of Populations and Their Health (INDEPTH).