Data integration model for air quality: a hierarchical approach to the global estimation of exposures to ambient air pollution
Associations of PM2.5 and Black Carbon with Hospital Emergency Room Visits during Heavy Haze Events: A Case Study in Beijing, China
Improving satellite-based PM 2.5 estimates in China using Gaussian processes modeling in a Bayesian hierarchical setting
Full-coverage high-resolution daily PM2.5 estimation using MAIAC AOD in the Yangtze River Delta of China
Air pollutant exposure field modeling using air quality model-data fusion methods and comparison with satellite AOD-derived fields: application over North Carolina, USA
