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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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Health gaps: an overview and critical appraisal.
TL;DR: This chapter presents an overview of the key conceptual and methodological issues around the construction of health gaps, and compares different types of health gap against the desirable criteria for summary measures of population health proposed by Murray et al. in chapter 1.2.
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A critical analysis of the design, results and implications of the Mortality and Use of Health Services surveys.
TL;DR: The design and methods of program impact surveys conducted as part of the Combatting Childhood Communicable Diseases (CCCD) program are discussed, noteworthy for attempting to rigorously measure program impact but the impact of service delivery and mortality is limited.
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PM214 Trends in the Global Burden of Rheumatic Heart Disease During 1990-2013: Findings From the Global Burden Of Disease 2013 Study
David A Watkins,David A Watkins,Samantha M. Colquhoun,Catherine O. Johnson,Jonathan R. Carapetis,Ganesan Karthikeyan,Mohsen Naghavi,Christopher J L Murray,Theo Vos,Gregory A. Roth,Gregory A. Roth +10 more
Cuantificación de la carga de enfermedad: la base técnica del cálculo de los años de vida ajustados en función de la discapacidad
TL;DR: Tucero et al. as mentioned in this paper present a nuevo indicator of the carga de enfwmedad: the afios de vida ajustados en funcion de la discapackiad CAVAD.
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Validation of a new predictive risk model: measuring the impact of the major modifiable risks of death for patients and populations.
Stephen S Lim,Emily Carnahan,Eugene C. Nelson,Catherine W. Gillespie,Ali H. Mokdad,Christopher J L Murray,Elliott S. Fisher +6 more
TL;DR: The risk model accurately predicted mortality in a representative sample of the US population and could be used to help inform patient and provider decision-making, identify high risk groups, and monitor the impact of efforts to improve population health.