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Tasha B. Murphy

Researcher at University of Washington

Publications -  23
Citations -  13139

Tasha B. Murphy is an academic researcher from University of Washington. The author has contributed to research in topics: Abdominal pain & Population. The author has an hindex of 13, co-authored 21 publications receiving 11459 citations. Previous affiliations of Tasha B. Murphy include Institute for Health Metrics and Evaluation.

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A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010

Stephen S Lim, +210 more
- 15 Dec 2012 - 
TL;DR: In this paper, the authors estimated deaths and disability-adjusted life years (DALYs; sum of years lived with disability [YLD] and years of life lost [YLL]) attributable to the independent effects of 67 risk factors and clusters of risk factors for 21 regions in 1990 and 2010.
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The State of US Health, 1990-2010: Burden of Diseases, Injuries, and Risk Factors

Christopher J L Murray, +126 more
- 14 Aug 2013 - 
TL;DR: To measure the burden of diseases, injuries, and leading risk factors in the United States from 1990 to 2010 and to compare these measurements with those of the 34 countries in the Organisation for Economic Co-operation and Development (OECD), systematic analysis of descriptive epidemiology was used.
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Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017

Daniel Dicker, +1158 more
- 10 Nov 2018 - 
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 as mentioned in this paper was the most recent iteration of the GBD, which used all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups.
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Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

Christopher J L Murray, +1095 more
- 10 Nov 2018 - 
TL;DR: This work estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods and used the cohort-component method of population projection, with inputs of fertility, mortality, population, and migration data.