Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/96204
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dc.contributorSchool of Nursing-
dc.contributorDepartment of Applied Mathematics-
dc.creatorWang, XLen_US
dc.creatorYang, Len_US
dc.creatorHe, DHen_US
dc.creatorChiu, APYen_US
dc.creatorChan, KHen_US
dc.creatorChan, KPen_US
dc.creatorZhou, Men_US
dc.creatorWong, CMen_US
dc.creatorGuo, Qen_US
dc.creatorHu, Wen_US
dc.date.accessioned2022-11-14T04:06:52Z-
dc.date.available2022-11-14T04:06:52Z-
dc.identifier.urihttp://hdl.handle.net/10397/96204-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© ISB 2017en_US
dc.rightsThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s00484-016-1284-y.en_US
dc.subjectGeneralized additive modelen_US
dc.subjectInfluenzaen_US
dc.subjectInteractionen_US
dc.subjectMeteorologyen_US
dc.subjectSeasonalityen_US
dc.titleDifferent responses of influenza epidemic to weather factors among Shanghai, Hong Kong and British Columbiaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1043en_US
dc.identifier.epage1053en_US
dc.identifier.volume61en_US
dc.identifier.issue6en_US
dc.identifier.doi10.1007/s00484-016-1284-yen_US
dcterms.abstractWeather factors have long been considered as key sources for regional heterogeneity of influenza seasonal patterns. As influenza peaks coincide with both high and low temperature in subtropical cities, weather factors may nonlinearly or interactively affect influenza activity. This study aims to assess the nonlinear and interactive effects of weather factors with influenza activity and compare the responses of influenza epidemic to weather factors in two subtropical regions of southern China (Shanghai and Hong Kong) and one temperate province of Canada (British Columbia). Weekly data on influenza activity and weather factors (i.e., mean temperature and relative humidity (RH)) were obtained from pertinent government departments for the three regions. Absolute humidity (AH) was measured by vapor pressure (VP), which could be converted from temperature and RH. Generalized additive models were used to assess the exposure-response relationship between weather factors and influenza virus activity. Interactions of weather factors were further assessed by bivariate response models and stratification analyses. The exposure-response curves of temperature and VP, but not RH, were consistent among three regions/cities. Bivariate response model revealed a significant interactive effect between temperature (or VP) and RH (P < 0.05). Influenza peaked at low temperature or high temperature with high RH. Temperature and VP are important weather factors in developing a universal model to explain seasonal outbreaks of influenza. However, further research is needed to assess the association between weather factors and influenza activity in a wider context of social and environmental conditions.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal of biometeorology, June 2017, v. 61, no. 6, p. 1043-1053en_US
dcterms.isPartOfInternational journal of biometeorologyen_US
dcterms.issued2017-06-
dc.identifier.scopus2-s2.0-85011851666-
dc.identifier.pmid28180957-
dc.identifier.eissn0020-7128en_US
dc.description.validate202211 bcww-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberRGC-B3-0214-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
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