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dc.contributor.authorChaicharn Pothiraten_US
dc.contributor.authorWarawut Chaiwongen_US
dc.contributor.authorChalerm Liwsrisakunen_US
dc.contributor.authorChaiwat Bumroongkiten_US
dc.contributor.authorAthavudh Deesomchoken_US
dc.contributor.authorTheerakorn Theerakittikulen_US
dc.contributor.authorAtikun Limsukonen_US
dc.contributor.authorPattraporn Tajarernmuangen_US
dc.contributor.authorNittaya Phetsuken_US
dc.date.accessioned2020-04-02T15:07:36Z-
dc.date.available2020-04-02T15:07:36Z-
dc.date.issued2019-01-01en_US
dc.identifier.issn13691619en_US
dc.identifier.issn09603123en_US
dc.identifier.other2-s2.0-85074006280en_US
dc.identifier.other10.1080/09603123.2019.1673883en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074006280&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/67852-
dc.description.abstract© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. Open burnings, agricultural and forest fires, are the major sources of particulate matters (PM) in Chiang Mai during dry season. We aim to determine the association of an increased daily PM (PM10, PM2.5) and daily non-accidental mortality and causes of death in Chiang Mai. The association between PM and daily non-accidental mortality including causes of death were analyzed using a generalized linear model with Poisson distribution. The results showed that PM10 and PM2.5 were associated with daily non-accidental mortality on different lag days (adjusted RR range from 1.009–1.018 and 1.016 for each 10 µg/m3 increment of PM10 and PM2.5, respectively). The causes of death associated with PM10, PM2.5 found on different lag days were chronic obstructive pulmonary disease (COPD), coronary artery disease (CAD), and sepsis. We concluded that PM10 and PM2.5 are associated with daily non-accidental mortality and causes of death were COPD, CAD, and sepsis.en_US
dc.subjectEnvironmental Scienceen_US
dc.subjectMedicineen_US
dc.titleThe short-term associations of particular matters on non-accidental mortality and causes of death in Chiang Mai, Thailand: a time series analysis study between 2016-2018en_US
dc.typeJournalen_US
article.title.sourcetitleInternational Journal of Environmental Health Researchen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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