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Air pollution effects on hospital admissions: a statistical analysis of parallel time series

✍ Scribed by R. Burnett; S. Bartlett; D. Krewski; G. Robert; M. Raad-Young

Publisher: Springer
Year: 1994
Tongue: English
Weight: 534 KB
Volume: 1
Category: Article
ISSN: 1352-8505
DOI: 10.1007/bf00469429

No coin nor oath required. For personal study only.

✦ Synopsis

A statistical model for longitudinal count data is used to examine the potential adverse health effects of ambient air pollution. Daily respiratory admissions to 164 acute care hospitals in Ontario are obtained for the period 1983 to 1988. Estimates of ozone levels in the vicinity of each hospital are determined from air pollution monitoring stations maintained by the Ontario Ministry of the Environment. Generalized estimating equation methods are used to make inferences about the regression and overdispersion parameters. The admission data display little evidence of serial correlation and extra Poisson variation. However, admission rates vary considerably among hospitals. This latter source of variation needs to be taken into account in examining the effects of air pollution on respiratory health status.

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