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Erin C Mullany

Researcher at Institute for Health Metrics and Evaluation

Publications -  7
Citations -  5562

Erin C Mullany is an academic researcher from Institute for Health Metrics and Evaluation. The author has contributed to research in topics: Years of potential life lost & Life expectancy. The author has an hindex of 6, co-authored 7 publications receiving 3626 citations. Previous affiliations of Erin C Mullany include University of Washington.

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Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013 : quantifying the epidemiological transition

Christopher J L Murray, +611 more
- 28 Nov 2015 - 
TL;DR: Patterns of the epidemiological transition with a composite indicator of sociodemographic status, which was constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population, were quantified.
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The State of US Health, 1990-2016: Burden of Diseases, Injuries, and Risk Factors Among US States

Ali H. Mokdad, +143 more
- 10 Apr 2018 - 
TL;DR: There are wide differences in the burden of disease at the state level and specific diseases and risk factors, such as drug use disorders, high BMI, poor diet, high fasting plasma glucose level, and alcohol use disorders are increasing and warrant increased attention.
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The global burden of injury: incidence, mortality, disability-adjusted life years and time trends from the Global Burden of Disease study 2013

Juanita A. Haagsma, +85 more
- 01 Feb 2016 - 
TL;DR: An overview of injury estimates from the 2013 update of GBD is provided, with detailed information on incidence, mortality, DALYs and rates of change from 1990 to 2013 for 26 causes of injury, globally, by region and by country.
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Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and initiation among young people in 204 countries and territories, 1990–2019

TL;DR: In this article, the authors used spatiotemporal Gaussian process regression to produce estimates of the prevalence of smoking and age of initiation by sex, for each year between 1990 and 2019.