Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13314
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dc.contributorDepartment of Building and Real Estate-
dc.creatorYi, W-
dc.creatorChan, APC-
dc.date.accessioned2015-10-13T08:27:12Z-
dc.date.available2015-10-13T08:27:12Z-
dc.identifier.issn0020-7128-
dc.identifier.urihttp://hdl.handle.net/10397/13314-
dc.language.isoenen_US
dc.publisherSpringer New York LLCen_US
dc.rights©ISB 2014en_US
dc.rightsThe following publication Yi, W., & Chan, A. P. C. (2015). Effects of temperature on mortality in hong kong: A time series analysis. International Journal of Biometeorology, 59(7), 927-936 is published by Springer and is available at http://dx.doi.org/10.1007/s00484-014-0895-4. The original publication is available at www.springerlink.comen_US
dc.subjectCardiovascular mortalityen_US
dc.subjectDistributed lag non-linear model (DLNM)en_US
dc.subjectMortalityen_US
dc.subjectRespiratory mortalityen_US
dc.subjectTemperatureen_US
dc.titleEffects of temperature on mortality in Hong Kong : a time series analysisen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage927-
dc.identifier.epage936-
dc.identifier.volume59-
dc.identifier.issue7-
dc.identifier.doi10.1007/s00484-014-0895-4-
dcterms.abstractAlthough interest in assessing the impacts of hot temperature and mortality in Hong Kong has increased, lessevidence on the effect of cold temperature on mortality is available. We examined both the effects of heat and cold temperatures on daily mortality in Hong Kong for the last decade (2002–2011). A quasi-Poisson model combined with a distributed lag non-linear model was used to assess the nonlinear and delayed effects of temperatures on cause-specific and age-specific mortality. Non-linear effects of temperature on mortality were identified. The relative risk of nonaccidental mortality associated with cold temperature (11.1 °C, 1st percentile of temperature) relative to 19.4 °C (25th percentile of temperature) was 1.17 (95 % confidence interval (CI): 1.04, 1.29) for lags 0–13. The relative risk of non-accidental mortality associated with high temperature (31.5 °C, 99th percentile of temperature) relative to 27.8 °C (75th percentile of temperature) was 1.09 (95%CI: 1.03, 1.17) for lags 0–3. InHongKong, extreme cold and hot temperatures increased the risk of mortality. The effect of cold lasted longer and greater than that of heat. People older than 75 years were the most vulnerable group to cold temperature, while people aged 65–74 were the most vulnerable group to hot temperature. Our findings may have implications for developing intervention strategies for extreme cold and hot temperatures.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal of biometeorology, July 2015, v. 59, no. 7, p. 927-936-
dcterms.isPartOfInternational Journal of Biometeorology-
dcterms.issued2015-7-
dc.identifier.scopus2-s2.0-84930196340-
dc.identifier.rosgroupid2014002459-
dc.description.ros2014-2015 > Academic research: refereed > Publication in refereed journal-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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