title: Assessing health impact of environmental pollution sources using space-time models.
abstract: We used disease mapping for health impact assessment of the national airport of the Netherlands. Spatio-temporal models were used to relate hospital discharge data for acute myocardial infarction and bronchitis in 1991, 1992 and 1993 to noise and distance from the airport. To compare models a discrepancy measure (expected predictive deviance) proposed by Carlin and Louis was used. The best fitting model was the most general one with inclusion of spatial and temporal components. Results on the effects of the covariates noise and distance from the airport were somewhat inconsistent between men and women and between the two diseases: for women no association between bronchitis and distance from the airport was found, whereas for men no association between acute myocardial infarction and noise was found.
authors.affiliation: Department of Clinical Epidemiology and Biostatistics, Academic Medical Center, University of Amsterdam, P.O. Box 22700, 1100 DE Amsterdam, The Netherlands.
authors.forename: S H
authors.initials: SH
authors.lastname: Heisterkamp
authors.forename: G
authors.initials: G
authors.lastname: Doornbos
authors.forename: N J
authors.initials: NJ
authors.lastname: Nagelkerke
mesh_terms: D000401:Aircraft; D001499:Bayes Theorem; D001991:Bronchitis / Q000453:epidemiology; D004785:Environmental Pollutants / Q000009:adverse effects*; D005260:Female; D006801:Humans; D015994:Incidence; D016014:Linear Models; D008297:Male; D008377:Maps as Topic; D009203:Myocardial Infarction / Q000453:epidemiology; D009426:Netherlands / Q000453:epidemiology; D009624:Noise, Transportation / Q000009:adverse effects; D012042:Registries; D012307:Risk Factors; D013029:Space-Time Clustering
chemical_list: D004785:Environmental Pollutants