Advancing innovation in health measurement
Population Health Metrics is an open access, peer-reviewed, online journal featuring innovative research that addresses all aspects of the measurement of population health, including concepts, methods, ethics, and results.
Editors-in-Chief
- Christopher J.L. Murray, Institute for Health Metrics and Evaluation, University of Washington
- Alan D. Lopez, University of Queensland School of Population Health
Articles
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Research
Population Health Metrics 2012, 10:2 (13 January 2012)A critical re-evaluation of the regression model specification in the US D1 EQ-5D value function
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Research
Population Health Metrics 2012, 10:1 (6 January 2012)Modeling causes of death: an integrated approach using CODEm
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Research
Population Health Metrics 2011, 9:60 (16 December 2011)Burden of type 2 diabetes attributed to lower educational levels in Sweden
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Research
Population Health Metrics 2011, 9:59 (8 December 2011)Testing for fertility stalls in demographic and health surveys
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Research
Population Health Metrics 2011, 9:58 (10 November 2011)Using funnel plots in public health surveillance
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Research
Population Health Metrics 2011, 9:57 (9 November 2011)An algorithm to assess methodological quality of nutrition and mortality cross-sectional surveys: development and application to surveys conducted in Darfur, Sudan
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Research
Population Health Metrics 2011, 9:56 (17 October 2011)Incidences of obesity and extreme obesity among US adults: findings from the 2009 Behavioral Risk Factor Surveillance System
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Research
Population Health Metrics 2011, 9:55 (11 October 2011)National and subnational mortality effects of metabolic risk factors and smoking in Iran: a comparative risk assessment
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Latest news
"Falling behind: life expectancy in US counties from 2000 to 2007 in an international context" published in Population Health Metrics in June 2011, has been one of the most highly-accessed articles across BioMed Central's journals, with over 31,000 page views in 10 weeks.
Population Health Metrics has published "Verbal autopsy: innovations, applications, opportunities", a thematic series providing the most up-to-date research on the best and most cost-effective techniques for using verbal autopsy to identify causes of death in populations.
Featured research
A critical re-evaluation of the regression model specification in the US D1 EQ-5D value function
Population Health Metrics 2012, 10:2 (13 January 2012)
Quotes
âAs the importance of health in the global agenda grows, so does the responsibility to measure accurately its complex dimensions and to assess the effects of increasing investments on population health. The present burst of political and financial will to improve global health has to be matched by an adequate response from the community of experts in constructing a firm foundation of metrics and evaluation.â
Dr Christopher J. L. Murray
Institute for Health Metrics and Evaluation
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