Dominic Royé1, Carmen Íñiguez2, Aurelio Tobías3. 1. Department of Geography, University of Santiago de Compostela, Santiago de Compostela, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain. Electronic address: dominic.roye@usc.es. 2. Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Spain; Department of Statistics and Computational Research, University of Valencia, Valencia, Spain. 3. Institute of Environmental Assessment and Water Research (IDAEA), Spanish Council for Scientific Research (CSIC), Barcelona, Spain.
Abstract
BACKGROUND: Most studies use temperature observation data from weather stations near the analyzed region or city as the reference point for the exposure-response association. Climatic reanalysis data sets have already been used for climate studies, but are not yet used routinely in environmental epidemiology. METHODS: We compared the mortality-temperature association using weather station temperature and ERA-5 reanalysis data for the 52 provincial capital cities in Spain, using time-series regression with distributed lag non-linear models. RESULTS: The shape of temperature distribution is very close between the weather station and ERA-5 reanalysis data (correlation from 0.90 to 0.99). The overall cumulative exposure-response curves are very similar in their shape and risks estimates for cold and heat effects, although risk estimates for ERA-5 were slightly lower than for weather station temperature. CONCLUSIONS: Reanalysis data allow the estimation of the health effects of temperature, even in areas located far from weather stations or without any available.
BACKGROUND: Most studies use temperature observation data from weather stations near the analyzed region or city as the reference point for the exposure-response association. Climatic reanalysis data sets have already been used for climate studies, but are not yet used routinely in environmental epidemiology. METHODS: We compared the mortality-temperature association using weather station temperature and ERA-5 reanalysis data for the 52 provincial capital cities in Spain, using time-series regression with distributed lag non-linear models. RESULTS: The shape of temperature distribution is very close between the weather station and ERA-5 reanalysis data (correlation from 0.90 to 0.99). The overall cumulative exposure-response curves are very similar in their shape and risks estimates for cold and heat effects, although risk estimates for ERA-5 were slightly lower than for weather station temperature. CONCLUSIONS: Reanalysis data allow the estimation of the health effects of temperature, even in areas located far from weather stations or without any available.
Authors: Evan de Schrijver; Christophe L Folly; Rochelle Schneider; Dominic Royé; Oscar H Franco; Antonio Gasparrini; Ana M Vicedo-Cabrera Journal: Geohealth Date: 2021-05-01
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