Bayesian spatio-temporal exposure modelling of air pollution in Rome, Italy, and short-term effects on cause-specific mortality
Assessing fine-scale spatio-temporal air pollution contrasts in urban contexts is a major challenge for environmental epidemiology. We propose a Bayesian spatio-temporal model to predict daily concentrations of NO$_2$, PM$_{10}$, and PM$_{2.5}$ in Rome (Italy), over 2011-2022, on a fine grid scale (1 km), using data fr...