For the APHEA study, the short term effects of air pollutants on human health were investigated in a comparable way in various European cities.
Daily mortality was used as one of the health effects indicators.
This report aims to demonstrate the steps in epidemiological model building in this type of time series analysis aimed at detecting short term effects under a poisson distribution assumption and shows the tools for decision making.
In addition, it assesses the impact of these steps on the pollution effect estimates.
Köln, Germany, is a city of one million inhabitants.
It is densely populated with a warm, humid, unfavourable climate and a high traffic density.
In previous studies, smog episodes were found to increase mortality and higher sulphur dioxide (SO2) levels were connected with increases in the number of episodes of croup.
Daily total mortality was obtained for 1975-85.
SO2, total suspended particulates, and nitrogen dioxide (NO2) data were available from two to five stations for the city area, and size fractionated PM7 data from a neighbouring city.
The main tools were time series plots of the raw data, predicted and residual data, the partial autocorrelation function and periodogram of the residuals, cross correlations of prefiltered series, plots of categorised influences, khi2 statistics of influences and sensitivity analyses taking overdispersion and autocorrelat...
Mots-clés Pascal : Pollution air, Toxicité, Court terme, Epidémiologie, Mortalité, Homme, Série temporelle, Allemagne, Europe, Milieu urbain, Santé et environnement
Mots-clés Pascal anglais : Air pollution, Toxicity, Short term, Epidemiology, Mortality, Human, Time series, Germany, Europe, Urban environment, Health and environment
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 96-0247778
Code Inist : 002B03M02. Création : 199608.