Methods for assessing long-term exposures to outdoor air pollutants
G Hoek - Current environmental health reports, 2017 - Springer
Abstract Purpose of Review Epidemiological studies of health effects of long-term exposure
to outdoor air pollution rely on different exposure assessment methods. This review …
to outdoor air pollution rely on different exposure assessment methods. This review …
Methods, availability, and applications of PM2.5 exposure estimates derived from ground measurements, satellite, and atmospheric models
M Diao, T Holloway, S Choi, SM O'Neill… - Journal of the Air & …, 2019 - Taylor & Francis
ABSTRACT Fine particulate matter (PM2. 5) is a well-established risk factor for public health.
To support both health risk assessment and epidemiological studies, data are needed on …
To support both health risk assessment and epidemiological studies, data are needed on …
Estimating spatiotemporal variation in ambient ozone exposure during 2013–2017 using a data-fusion model
Since 2013, clean-air actions in China have reduced ambient concentrations of PM2. 5.
However, recent studies suggest that ground surface O3 concentrations increased over the …
However, recent studies suggest that ground surface O3 concentrations increased over the …
Full-coverage high-resolution daily PM2. 5 estimation using MAIAC AOD in the Yangtze River Delta of China
Satellite aerosol optical depth (AOD) has been used to assess population exposure to fine
particulate matter (PM 2.5). The emerging high-resolution satellite aerosol product, Multi …
particulate matter (PM 2.5). The emerging high-resolution satellite aerosol product, Multi …
Spatial resolved surface ozone with Urban and rural differentiation during 1990–2019: a space–time bayesian neural network downscaler
Long-term exposure to ambient ozone (O3) can lead to a series of chronic diseases and
associated premature deaths, and thus population-level environmental health studies …
associated premature deaths, and thus population-level environmental health studies …
Flexible Bayesian ensemble machine learning framework for predicting local ozone concentrations
3D-grid-based chemical transport models, such as the Community Multiscale Air Quality
(CMAQ) modeling system, have been widely used for predicting concentrations of ambient …
(CMAQ) modeling system, have been widely used for predicting concentrations of ambient …
Urban heat and air pollution: A framework for integrating population vulnerability and indoor exposure in health risk analyses
CR O'Lenick, OV Wilhelmi, R Michael… - Science of the total …, 2019 - Elsevier
Urban growth and climate change will exacerbate extreme heat events and air pollution,
posing considerable health challenges to urban populations. Although epidemiological …
posing considerable health challenges to urban populations. Although epidemiological …
Deep Ensemble Machine Learning Framework for the Estimation of Concentrations
Background: Accurate estimation of historical PM 2.5 (particle matter with an aerodynamic
diameter of less than 2.5 μ m) is critical and essential for environmental health risk …
diameter of less than 2.5 μ m) is critical and essential for environmental health risk …
Spatiotemporal air pollution forecasting in houston-TX: a case study for ozone using deep graph neural networks
The presence of pollutants in our atmosphere has become one of humanity's greatest
challenges. These pollutants, produced primarily by burning fossil fuels, are detrimental to …
challenges. These pollutants, produced primarily by burning fossil fuels, are detrimental to …
Assessment of neighbourhood-level socioeconomic status as a modifier of air pollution–asthma associations among children in Atlanta
CR O'lenick, A Winquist, JA Mulholland… - J Epidemiol …, 2017 - jech.bmj.com
Background A broad literature base provides evidence of association between air pollution
and paediatric asthma. Socioeconomic status (SES) may modify these associations; …
and paediatric asthma. Socioeconomic status (SES) may modify these associations; …