Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/76665
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dc.contributor.authorRu Caoen_US
dc.contributor.authorYuxin Wangen_US
dc.contributor.authorJing Huangen_US
dc.contributor.authorJie Heen_US
dc.contributor.authorPitakchon Ponsawansongen_US
dc.contributor.authorJianbo Jinen_US
dc.contributor.authorZhihu Xuen_US
dc.contributor.authorTeng Yangen_US
dc.contributor.authorXiaochuan Panen_US
dc.contributor.authorTippawan Prapamontolen_US
dc.contributor.authorGuoxing Lien_US
dc.date.accessioned2022-10-16T07:14:56Z-
dc.date.available2022-10-16T07:14:56Z-
dc.date.issued2021-01-01en_US
dc.identifier.issn16604601en_US
dc.identifier.issn16617827en_US
dc.identifier.other2-s2.0-85104717752en_US
dc.identifier.other10.3390/ijerph18094675en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85104717752&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/76665-
dc.description.abstract(1) Background: The health effect of temperature has become a rising public health topic. The objective of this study is to assess the association between apparent temperature and nonaccidental deaths, and the mortality burden attributed to cold and heat temperature; (2) Methods: The daily data on temperature and deaths were collected from 10 cities in Thailand, Korea and China. We fitted a time-series regression with a distributed lag nonlinear model (DLNM) to derive the health risk of temperature for each city and then pooled them to get the overall cumulative risk by multivariate meta-analysis. Additionally, we calculated the attributable fraction of deaths for heat and cold, which was defined as temperatures above and below minimum-mortality temperature (MMT); (3) Results: There are regional heterogeneities in the minimum mortality percentiles (MMP) and attributable fractions for different countries. The MMP varied from about the 5–10th percentile in Thailand to 63–93rd percentile in China and Korea. The attributable fractions of the total deaths due to short-term exposure to temperature in Asia is 7.62%, of which the cold effect (6.44%) is much higher than the heat effect (1.18%); (4) Conclusions: Our study suggested that apparent temperature was associated with an increase in non-accidental mortality. Most of the temperature-related mortality burden was attributable to cold, except for Thailand.en_US
dc.subjectEnvironmental Scienceen_US
dc.subjectMedicineen_US
dc.titleThe mortality effect of apparent temperature: A multi-city study in asiaen_US
dc.typeJournalen_US
article.title.sourcetitleInternational Journal of Environmental Research and Public Healthen_US
article.volume18en_US
article.stream.affiliationsPeking University Health Science Centeren_US
article.stream.affiliationsChiang Mai Universityen_US
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