|Title||Modeling the Impact of Traffic-Related Air Pollution on Childhood Respiratory Illness|
|Publication Type||Book Chapter|
|Year of Publication||2002|
|Authors||Best N, Ickstadt K, Wolpert RL, Cockings S, Elliott P, Bennett J, Bottle A, Reed S, Gatsonig C, Kass R, Carlin B, Carriquiry A, Gelman A, Verdinelli I, West M|
|Book Title||Case Studies in Bayesian Statistics, Volume V|
|Other Numbers||Series ISSN: 0930-0325|
Epidemiological studies of the health effects of outdoor air pollution have suffered from a number of methodological difficulties. These include major problems of estimating exposure; confounding due to socioeconomic deprivation and other factors; failure to account for possible spatial dependence induced by unmeasured covariates with smooth spatial variation; and the potential for bias arising from approximation and aggregation in the data. We present a flexible modeling framework using recently developed Bayesian spatial regression methods to address some of these issues. We apply this approach to a study of the relation of London traffic pollution to the incidence of respiratory ailments in infants using the recently available Hospital Episodes Statistics (HES) dataset.