Modeling mortality fluctuations in los angeles as functions of pollution and weather effects

Linear and nonlinear models are used to investigate possible associations between mortality and pollution and weather effects in Los Angeles County. State-space modeling and time and frequency domain regressions are used to modify the data base and to isolate significant weather factors and pollutan...

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Bibliographic Details
Published in:Environmental research 1988-04, Vol.45 (2), p.224-241
Main Authors: Shumway, R.H., Azari, A.S., Pawitan, Y.
Format: Article
Language:English
Subjects:
Air Pollutants - pharmacology
Air Pollution
Biological and medical sciences
California
Dose-Response Relationship, Drug
Environmental pollutants toxicology
General aspects
Humans
Medical sciences
Models, Theoretical
Mortality
Toxicology
Weather
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Summary:Linear and nonlinear models are used to investigate possible associations between mortality and pollution and weather effects in Los Angeles County. State-space modeling and time and frequency domain regressions are used to modify the data base and to isolate significant weather factors and pollutants associated with increased daily mortality. Nonparametric and parametric regression methods are used to develop nonlinear dose-response profiles relating mortality to temperature and to the statistically significant pollutants. A parametric nonlinear time series model involving linear and squared terms in temperature and the logarithm of pollution provides a reasonable predictive model.
ISSN:0013-9351
1096-0953
DOI:10.1016/S0013-9351(88)80049-5