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      Ambient Air Pollution Exposure Estimation for the Global Burden of Disease 2013

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          Abstract

          Exposure to ambient air pollution is a major risk factor for global disease. Assessment of the impacts of air pollution on population health and evaluation of trends relative to other major risk factors requires regularly updated, accurate, spatially resolved exposure estimates. We combined satellite-based estimates, chemical transport model simulations, and ground measurements from 79 different countries to produce global estimates of annual average fine particle (PM2.5) and ozone concentrations at 0.1° × 0.1° spatial resolution for five-year intervals from 1990 to 2010 and the year 2013. These estimates were applied to assess population-weighted mean concentrations for 1990-2013 for each of 188 countries. In 2013, 87% of the world's population lived in areas exceeding the World Health Organization Air Quality Guideline of 10 μg/m(3) PM2.5 (annual average). Between 1990 and 2013, global population-weighted PM2.5 increased by 20.4% driven by trends in South Asia, Southeast Asia, and China. Decreases in population-weighted mean concentrations of PM2.5 were evident in most high income countries. Population-weighted mean concentrations of ozone increased globally by 8.9% from 1990-2013 with increases in most countries-except for modest decreases in North America, parts of Europe, and several countries in Southeast Asia.

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          Most cited references36

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          A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010

          The Lancet, 380(9859), 2224-2260
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            Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013

            The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution.
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              Addressing Global Mortality from Ambient PM2.5.

              Ambient fine particulate matter (PM2.5) has a large and well-documented global burden of disease. Our analysis uses high-resolution (10 km, global-coverage) concentration data and cause-specific integrated exposure-response (IER) functions developed for the Global Burden of Disease 2010 to assess how regional and global improvements in ambient air quality could reduce attributable mortality from PM2.5. Overall, an aggressive global program of PM2.5 mitigation in line with WHO interim guidelines could avoid 750 000 (23%) of the 3.2 million deaths per year currently (ca. 2010) attributable to ambient PM2.5. Modest improvements in PM2.5 in relatively clean regions (North America, Europe) would result in surprisingly large avoided mortality, owing to demographic factors and the nonlinear concentration-response relationship that describes the risk of particulate matter in relation to several important causes of death. In contrast, major improvements in air quality would be required to substantially reduce mortality from PM2.5 in more polluted regions, such as China and India. Moreover, forecasted demographic and epidemiological transitions in India and China imply that to keep PM2.5-attributable mortality rates (deaths per 100 000 people per year) constant, average PM2.5 levels would need to decline by ∼20-30% over the next 15 years merely to offset increases in PM2.5-attributable mortality from aging populations. An effective program to deliver clean air to the world's most polluted regions could avoid several hundred thousand premature deaths each year.
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                Author and article information

                Journal
                Environmental Science & Technology
                Environ. Sci. Technol.
                American Chemical Society (ACS)
                0013-936X
                1520-5851
                January 05 2016
                December 04 2015
                January 05 2016
                : 50
                : 1
                : 79-88
                Affiliations
                [1 ]School of Population and Public Health, The University of British Columbia, 3rd Floor—2206 East Mall, Vancouver, British Columbia V6T1Z3, Canada
                [2 ]Institute for Health Metrics and Evaluation, University of Washington, Seattle Washington 98195, United States
                [3 ]Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada
                [4 ]European Commission, Joint Research Centre, Ispra, Italy
                [5 ]Swiss Tropical and Public Health Institute, Basel, Switzerland
                [6 ]Department of Civil, Architectural and Environmental Engineering, University of Texas at Austin, Austin Texas 78712, United States
                [7 ]Department of Environmental Health Engineering, Sri Ramachandra University, Chennai, India
                [8 ]Department of Occupational and Environmental Health, University of Gothenburg, Gothenburg, Sweden
                [9 ]Technion-Israel Institute of Technology, Civil and Environmental Engineering, Haifa, Israel
                [10 ]National Institute for Stroke & Applied Neurosciences, Auckland University of Technology, Aukland, New Zealand
                [11 ]Department of Chemical Engineering, Clarkson University, Potsdam, New York 13699, United States
                [12 ]School of Public Health, The University of Queensland, Brisbane, Queensland, Australia
                [13 ]Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Osaka, Japan
                [14 ]Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
                [15 ]Saw Swee Hock School of Public Health, National University of Singapore, Singapore
                [16 ]School of Chemistry, Physics and Mechanical Engineering, Queensland University of Technology, Brisbane Queensland, Australia
                [17 ]National Institute of Public Health, Cuernevaca, Mexico
                [18 ]Department of Mathematical Sciences, University of Bath, Bath, U.K.
                [19 ]Population Health Research Institute, St. George’s University of London, London, U.K.
                [20 ]Health Canada, Ottawa, Ontario, Canada
                [21 ]Health Effects Institute, Boston, Massachusetts 02110-1817, United States
                Article
                10.1021/acs.est.5b03709
                26595236
                d8b0e2da-77e6-4ad6-b215-f35b433c850c
                © 2016
                History

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