Data Integration for the Assessment of Population Exposure to Ambient Air Pollution for Global Burden of Disease Assessment

Environmental Science and Technology

Volumn 52, Issue 16, 2018, Pages 9069-9078

  Shaddick, Gavin ^a,b   Thomas, Matthew L ^b   Amini, Heresh ^c,d,e   Broday, David ^f   Cohen, Aaron ^g,h   Frostad, Joseph ^h   Green, Amelia ^b   Gumy, Sophie ⁱ   Liu, Yang ^j   Martin, Randall V ^k,l   Pruss Ustun, Annette ⁱ   Simpson, Daniel ^m   Van Donkelaar, Aaron ^k   Brauer, Michael ^h,n  

^a UNIVERSITY OF EXETER   (United Kingdom)

^b University of Bath   (United Kingdom)

^c SWISS TROPICAL AND PUBLIC HEALTH INSTITUTE   (Switzerland)

^d UNIVERSITY OF BASEL   (Switzerland)

^e HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^f TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^g Health Effects Institute   (United States)

^h UNIVERSITY OF WASHINGTON   (United States)

ⁱ WORLD HEALTH ORGANIZATION   (Switzerland)

^j EMORY UNIVERSITY   (United States)

^k DALHOUSIE UNIVERSITY   (Canada)

^l HARVARD SMITHSONIAN CENTER FOR ASTROPHYSICS   (United States)

^m UNIVERSITY OF TORONTO   (Canada)

ⁿ UNIVERSITY OF BRITISH COLUMBIA   (Canada)

more..

Author keywords

[No Author keywords available]

Indexed keywords

AIR POLLUTION; HIERARCHICAL SYSTEMS; MEAN SQUARE ERROR; POPULATION STATISTICS;

AMBIENT AIR POLLUTION; BAYESIAN HIERARCHICAL MODEL; GROUND MEASUREMENTS; PM2.5 CONCENTRATION; POPULATION EXPOSURE; ROOT MEAN SQUARED ERRORS; SPATIALLY RESOLVED; WORLD HEALTH ORGANIZATION;

DATA INTEGRATION;

OZONE;

AMBIENT AIR; ASSESSMENT METHOD; ATMOSPHERIC POLLUTION; CONCENTRATION (COMPOSITION); DATA ASSIMILATION; DISEASE; DUST; GLOBAL PERSPECTIVE; GROUND-BASED MEASUREMENT; POLLUTION EXPOSURE; RISK FACTOR; SATELLITE DATA; WORLD HEALTH ORGANIZATION;

AIR POLLUTION; AMBIENT AIR; ARTICLE; CHINA; DUST; EUROPEAN UNION; GLOBAL DISEASE BURDEN; PARTICULATE MATTER; POPULATION EXPOSURE; SOUTH ASIAN; WORLD HEALTH ORGANIZATION; AFRICA; AIR POLLUTANT; BAYES THEOREM;

CHINA; SAHARA; WEST AFRICA;

AFRICA, NORTHERN; AFRICA, WESTERN; AIR POLLUTANTS; AIR POLLUTION; BAYES THEOREM; CHINA; GLOBAL BURDEN OF DISEASE; PARTICULATE MATTER;

EID: 85049336718     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/acs.est.8b02864     Document Type: Article

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