Timescale effect estimation in time-series studies of air pollution and health: A Singular Spectrum Analysis approach

摘要

A wealth of epidemiological data suggests an association betweenmortality/morbidity from pulmonary and cardiovascular adverse events and airpollution, but uncertainty remains as to the extent implied by thoseassociations although the abundance of the data. In this paper we describe anSSA (Singular Spectrum Analysis) based approach in order to decompose thetime-series of particulate matter concentration into a set of exposurevariables, each one representing a different timescale. We implement ourmethodology to investigate both acute and long-term effects of $PM_{10}$exposure on morbidity from respiratory causes within the urban area of Bari,Italy.