Exposure assessment for estimation of the global burden of disease attributable to outdoor air pollution

By M. Brauer, Markus Amann, R. Burnett, A. Cohen, F. Dentener, M. Ezzati, Sarah B. Henderson, M. Krzyżanowski, Randall V. Martin, R. Van Dingenen and 2 more. Environmental Science and Technology, 2012

763 citations recorded by the source corpus.

Ambient air pollution is associated with numerous adverse health impacts. Previous assessments of global attributable disease burden have been limited to urban areas or by coarse spatial resolution of concentration estimates. Recent developments in remote sensing, global chemical-transport models, and improvements in coverage of surface measurements facilitate virtually complete spatially resolved global air pollutant concentration estimates. We combined these data to generate global estimates of long- term average ambient concentrations of fine particles (PM2.5) and ozone at 0.1° × 0.1° spatial resolution for 1990 and 2005. In 2005, 89% of the world’s population lived in areas where the World Health Organization Air Quality Guideline of 10 μg/m3 PM2.5 (annual average) was exceeded. Globally, 32% of the population lived in areas exceeding the WHO Level 1 Interim Target of 35 μg/m3; driven by high proportions in East (76%) and South (26%) Asia. The highest seasonal ozone levels were found in North and Latin America, Europe, South and East Asia, and parts of Africa. Between 1990 and 2005 a 6% increase in global population-weighted PM2.5 and a 1% decrease in global population- weighted ozone concentrations was apparent, highlighted by increased concentrations in East, South and Southeast Asia and decreases in North America and Europe. Combined with spatially resolved population distributions, these estimates expand the evaluation of the global health burden associated with outdoor air pollution.

Subfields: Atmospheric Science, Health, Toxicology and Mutagenesis

View Paper: https://www.semanticscholar.org/paper/19c31b22a5f621d34d3a09dafe09f42f2dd3ba4b

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Citations in the corpus

Future air pollution in the Shared Socio-economic Pathways (2017, background): “More than 80% of the world’s population is exposed to pollutant concentrations exceeding the World Health Organization (WHO) recommended levels (Brauer et al., 2012) and around 3.6 million deaths can be attributed to ambient air pollution with another 4 million from household related sources (Lim…”
Using the geographical detector technique to explore the impact of socioeconomic factors on PM2.5 concentrations in China (2019, background): “5 can also cause serious environmental problems such as reduced air visibility and climate change (Brauer et al., 2012; Kan et al., 2012).”
Feasible mitigation actions in developing countries (2014, neutral): “5 was exceeded.(83) In the 353 year 2013, PM2.”
Estimating Ground‐Level PM2.5 by Fusing Satellite and Station Observations: A Geo‐Intelligent Deep Learning Approach (2017, background): “PM 2.5 (particulate matter), with an aerodynamic diameter of less than 2.5 μ m, is associated with many adverse health effects, such as respiratory problems and cardiovascular disease (Bartell et al., 2013; Brauer et al., 2012; Crouse et al., 2012).”
Outdoor Particulate Matter Exposure and Lung Cancer: A Systematic Review and Meta-Analysis (2014, background): “Air pollution is ubiquitous, and all populations are exposed to it at some level, albeit with considerable variation between the most and the least polluted areas (Brauer et al. 2012).”
Millions dead: how do we know and what does it mean? Methods used in the comparative risk assessment of household air pollution. (2014, background): “5 concentrations are often, but not always, lower than in most cities but nevertheless high enough to be of concern (6).”
An Integrated Risk Function for Estimating the Global Burden of Disease Attributable to Ambient Fine Particulate Matter Exposure (2014, positive): “We first estimated surface PM 2.5 concentrations on a 0.1° × 0.1° grid for the globe using a combination of remote sensing and atmos pheric models calibrated to ground moni toring data (Brauer et al. 2012).”
Satellite-Based Spatiotemporal Trends in PM2.5 Concentrations: China, 2004–2013 (2015, methodology): “Zongwei Ma, Emory University Xuefei Hu, Emory University Andrew M. Sayer, Universities Space Research Association Robert Levy, NASA Goddard Space Flight Center Qiang Zhang, Tsinghua University Yingang Xue, Changzhou Environmental Monitoring Center Shilu Tong, Queensland University of Technology Jun ”
Long-Term Ozone Exposure and Mortality in a Large Prospective Study. (2016, background): “The worldwide mean 3-month hourly maximum O3 concentration in 2005 was 54 ppb (11), and it is increasing in densely populated areas of South Asia and East Asia due largely to growing O3 precursor emissions (9).”
Use of Satellite Observations for Long-Term Exposure Assessment of Global Concentrations of Fine Particulate Matter (2014, methodology): “For example, this information is used for Global Burden of Disease assessments (Brauer et al. 2012; Lim et al. 2012; WHO 2014), for environmental performance indicators (Environmental Performance Index 2014), and for epidemiologic studies of air pollution health effects at global (Anderson et al.”