A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2. 5 concentration
A typical challenge in air pollution epidemiology is to perform detailed exposure assessment
for individuals for which health data are available. To address this problem, in the last few …
for individuals for which health data are available. To address this problem, in the last few …
Comparison of Geostatistical Interpolation and Remote Sensing Techniques for Estimating Long-Term Exposure to Ambient PM2.5 Concentrations across the …
SJ Lee, ML Serre, A van Donkelaar… - Environmental …, 2012 - ehp.niehs.nih.gov
Background: A better understanding of the adverse health effects of chronic exposure to fine
particulate matter (PM2. 5) requires accurate estimates of PM2. 5 variation at fine spatial …
particulate matter (PM2. 5) requires accurate estimates of PM2. 5 variation at fine spatial …
A data fusion approach for spatial analysis of speciated PM2.5 across time
CW Rundel, EM Schliep, AE Gelfand… - …, 2015 - Wiley Online Library
PM2. 5 exposure is linked to a number of adverse health effects such as lung cancer and
cardiovascular disease. However, PM2. 5 is a complex mixture of different species whose …
cardiovascular disease. However, PM2. 5 is a complex mixture of different species whose …
Evaluation of predictive capabilities of ordinary geostatistical interpolation, hybrid interpolation, and machine learning methods for estimating PM2. 5 constituents over …
Numerous modeling approaches to estimate concentrations of PM 2.5 components have
been developed to derive better exposures for health studies, including geostatistical …
been developed to derive better exposures for health studies, including geostatistical …
Exposure prediction approaches used in air pollution epidemiology studies: key findings and future recommendations
LK Baxter, KL Dionisio, J Burke… - Journal of exposure …, 2013 - nature.com
Many epidemiologic studies of the health effects of exposure to ambient air pollution use
measurements from central-site monitors as their exposure estimate. However …
measurements from central-site monitors as their exposure estimate. However …
Assessing PM2.5 Exposures with High Spatiotemporal Resolution across the Continental United States
A number of models have been developed to estimate PM2. 5 exposure, including satellite-
based aerosol optical depth (AOD) models, land-use regression, or chemical transport …
based aerosol optical depth (AOD) models, land-use regression, or chemical transport …
A regionalized national universal kriging model using Partial Least Squares regression for estimating annual PM2. 5 concentrations in epidemiology
PD Sampson, M Richards, AA Szpiro, S Bergen… - Atmospheric …, 2013 - Elsevier
Many cohort studies in environmental epidemiology require accurate modeling and
prediction of fine scale spatial variation in ambient air quality across the US This modeling …
prediction of fine scale spatial variation in ambient air quality across the US This modeling …
Improve ground-level PM2. 5 concentration mapping using a random forests-based geostatistical approach
Accurate measurements of ground-level PM 2.5 (particulate matter with aerodynamic
diameters equal to or less than 2.5 μm) concentrations are critically important to human and …
diameters equal to or less than 2.5 μm) concentrations are critically important to human and …
Prediction of daily mean and one-hour maximum PM2.5 concentrations and applications in Central Mexico using satellite-based machine-learning models
Background Machine-learning algorithms are becoming popular techniques to predict
ambient air PM2. 5 concentrations at high spatial resolutions (1× 1 km) using satellite-based …
ambient air PM2. 5 concentrations at high spatial resolutions (1× 1 km) using satellite-based …
Consequences of kriging and land use regression for PM2. 5 predictions in epidemiologic analyses: insights into spatial variability using high-resolution satellite data
Many epidemiological studies use predicted air pollution exposures as surrogates for true
air pollution levels. These predicted exposures contain exposure measurement error, yet …
air pollution levels. These predicted exposures contain exposure measurement error, yet …