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An Integrated Risk Function for Estimating the Global Burden of Disease Attributable to Ambient Fine Particulate Matter Exposure
Author(s) -
Richard T. Burnett,
C. Arden Pope,
Majid Ezzati,
Casey Olives,
Stephen S Lim,
Sumi Mehta,
Hwashin Hyun Shin,
Gitanjali Singh,
Bryan Hubbell,
Michael Bräuer,
H Ross Anderson,
Kirk R. Smith,
John R. Balmes,
Nigel Bruce,
Haidong Kan,
Francine Laden,
Annette PrüssÜstün,
Michelle C. Turner,
Susan M. Gapstur,
W. Ryan Diver,
Aaron Cohen
Publication year - 2014
Publication title -
environmental health perspectives
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.257
H-Index - 282
eISSN - 1552-9924
pISSN - 0091-6765
DOI - 10.1289/ehp.1307049
Subject(s) - medicine , relative risk , environmental health , attributable risk , copd , population , stroke (engine) , particulates , inhalation exposure , toxicology , confidence interval , chemistry , biology , toxicity , mechanical engineering , organic chemistry , engineering
Estimating the burden of disease attributable to long-term exposure to fine particulate matter (PM2.5) in ambient air requires knowledge of both the shape and magnitude of the relative risk (RR) function. However, adequate direct evidence to identify the shape of the mortality RR functions at the high ambient concentrations observed in many places in the world is lacking.

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