Spat Spatiotemporal Epidemiol - Estimating the effects of environmental exposures using a weighted mean of monitoring stations.

Tópicos

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Resumo

The health effects of environmental hazards are often examined using time series of the association between a daily response variable (e.g., death) and a daily level of exposure (e.g., temperature). Exposures are usually the average from a network of stations. This gives each station equal importance, and negates the opportunity for some stations to be better measures of exposure. We used a Bayesian hierarchical model that weighted stations using random variables between zero and one. We compared the weighted estimates to the standard model using data on health outcomes (deaths and hospital admissions) and exposures (air pollution and temperature) in Brisbane, Australia. The improvements in model fit were relatively small, and the estimated health effects of pollution were similar using either the standard or weighted estimates. Spatial weighted exposures would be probably more worthwhile when there is either greater spatial detail in the health outcome, or a greater spatial variation in exposure.

Resumo Limpo

health effect environment hazard often examin use time seri associ daili respons variabl eg death daili level exposur eg temperatur exposur usual averag network station give station equal import negat opportun station better measur exposur use bayesian hierarch model weight station use random variabl zero one compar weight estim standard model use data health outcom death hospit admiss exposur air pollut temperatur brisban australia improv model fit relat small estim health effect pollut similar use either standard weight estim spatial weight exposur probabl worthwhil either greater spatial detail health outcom greater spatial variat exposur

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