S1 Supporting Information Data integration for the assessment of population exposure to ambient air pollution for global burden of disease assessment. Gavin Shaddick 1,2 , Matthew L. Thomas 2 ,Heresh Amini 3,4,5 ,David Broday 6 , Aaron Cohen ,7,8 , Joseph Frostad 8 , Amelia Green 2 , Sophie Gumy 9 , Yang Liu 10 , Randall V. Martin 11,12 , Annette Pruss-Ustun 9 , Daniel Simpson 13 , Aaron van Donkelaar 11 , Michael Brauer 8,14,* 1 Department of Mathematics, University of Exeter, Exeter, EX4 4QF, UK 2 Department of Mathematical Sciences University of Bath, Bath, BA2 7AY, UK 3 Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland 4 University of Basel, Basel, Switzerland 5 Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA 6 Faculty of Civil and Environmental Engineering, The Technion, Haifa, Israel 7 Health Effects Institute, Boston, MA 02110, USA 8 Institute for Health Metrics and Evaluation, Seattle, WA 98121, USA 9 World Health Organization, Geneva, Switzerland 10 Department of Environmental Health, Emory University, Rollins School of Public Health, Atlanta, GA 30322, USA 11 Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, B3H 4R2, Canada 12 Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA 13 Department of Statistical Sciences University of Toronto, Toronto, Ontario, M5S 3G3, Canada 14 School of Population and Public Health, The University of British Columbia, Vancouver, BC, V6T 1Z3, Canada Number of figures: 6 Number of files: 4