Assessing the impact of fine particulate matter (PM2.5) on respiratory-cardiovascular chronic diseases in the New York City Metropolitan area using Hierarchical Bayesian Model estimates - Weber, Stephanie A.; Insaf, Tabassum Z.; Hall, Eric S.; Talbot, Thomas O.; Huff, Amy K. (Environmental research, 2016)
Keywords: Adolescent; Adult; Aerosol optical depth (AOD); aerosols; Aged; air; air pollution; air quality; Air quality model; Air Quality System (AQS); algorithms; Asthma; Asthma - epidemiology; Asthma - etiology; Bayes Theorem; Bayesian theory; Case crossover; Chronic Disease; chronic diseases; Community Multi-Scale Air Quality (CMAQ) model; data collection; epidemiological studies; Fine particulate matter (PM2.5); heart failure; Heart failure (HF); Heart Failure - epidemiology; Heart Failure - etiology; Hierarchical Bayesian Model (HBM); hospitals; Humans; Male; model validation; myocardial infarction; Myocardial infarction (MI); Myocardial Infarction - epidemiology; Myocardial Infarction - etiology; New York; New York City - epidemiology; Particulate Matter - adverse effects; particulates; pollutants; prediction; remote sensing; risk; risk estimate; satellites; ANW, USA, New York, New York City; New York; Aerosol optical depth (AOD); Community Multi-Scale Air Quality (CMAQ) model; Myocardial infarction (MI); Heart failure (HF); Case crossover; Hierarchical Bayesian Model (HBM); Air quality model; Air Quality System (AQS); Fine particulate matter (PM2.5); Asthma; Fine particulate matter (PM(2.5))