Ontology highlight
ABSTRACT:
SUBMITTER: Burnett R
PROVIDER: S-EPMC6156628 | biostudies-literature | 2018 Sep
REPOSITORIES: biostudies-literature
Burnett Richard R Chen Hong H Szyszkowicz Mieczysław M Fann Neal N Hubbell Bryan B Pope C Arden CA Apte Joshua S JS Brauer Michael M Cohen Aaron A Weichenthal Scott S Coggins Jay J Di Qian Q Brunekreef Bert B Frostad Joseph J Lim Stephen S SS Kan Haidong H Walker Katherine D KD Thurston George D GD Hayes Richard B RB Lim Chris C CC Turner Michelle C MC Jerrett Michael M Krewski Daniel D Gapstur Susan M SM Diver W Ryan WR Ostro Bart B Goldberg Debbie D Crouse Daniel L DL Martin Randall V RV Peters Paul P Pinault Lauren L Tjepkema Michael M van Donkelaar Aaron A Villeneuve Paul J PJ Miller Anthony B AB Yin Peng P Zhou Maigeng M Wang Lijun L Janssen Nicole A H NAH Marra Marten M Atkinson Richard W RW Tsang Hilda H Quoc Thach Thuan T Cannon John B JB Allen Ryan T RT Hart Jaime E JE Laden Francine F Cesaroni Giulia G Forastiere Francesco F Weinmayr Gudrun G Jaensch Andrea A Nagel Gabriele G Concin Hans H Spadaro Joseph V JV
Proceedings of the National Academy of Sciences of the United States of America 20180904 38
Exposure to ambient fine particulate matter (PM<sub>2.5</sub>) is a major global health concern. Quantitative estimates of attributable mortality are based on disease-specific hazard ratio models that incorporate risk information from multiple PM<sub>2.5</sub> sources (outdoor and indoor air pollution from use of solid fuels and secondhand and active smoking), requiring assumptions about equivalent exposure and toxicity. We relax these contentious assumptions by constructing a PM<sub>2.5</sub>-m ...[more]