Although many time-series studies have established associations of daily pollution variations with daily deaths, there are fewer at low concentrations, or focused on locally generated pollution, which is becoming more important as regulations reduce regional transport. Causal modeling approaches are also lacking. Researchers used causal modeling to estimate the impact of local air pollution on mortality at low concentrations.
While many time series studies have established associations of daily pollution variations with daily deaths, there are fewer at low concentrations, or focused on locally generated pollution, which is becoming more important as regulations reduce regional transport. Causal modeling approaches are also lacking. The objective of the study was to use causal modeling to estimate the impact of local air pollution on mortality at low concentrations.
Studies of chronic health effects due to exposures to particulate matter with aerodynamic diameters ? 2.5 ?m (PM2.5) are often limited by sparse measurements. Satellite aerosol remote sensing data may be used to extend PM2.5 ground networks to cover a much larger area.
