Different responses of influenza epidemic to weather factors among Shanghai, Hong Kong, and British Columbia.
Identifieur interne : 000103 ( Main/Exploration ); précédent : 000102; suivant : 000104Different responses of influenza epidemic to weather factors among Shanghai, Hong Kong, and British Columbia.
Auteurs : Xi-Ling Wang [République populaire de Chine] ; Lin Yang [République populaire de Chine] ; Dai-Hai He [République populaire de Chine] ; Alice Py Chiu [République populaire de Chine] ; Kwok-Hung Chan [République populaire de Chine] ; King-Pan Chan [République populaire de Chine] ; Maigeng Zhou [République populaire de Chine] ; Chit-Ming Wong [République populaire de Chine] ; Qing Guo [République populaire de Chine] ; Wenbiao Hu [République populaire de Chine, Australie]Source :
- International journal of biometeorology [ 1432-1254 ] ; 2017.
Descripteurs français
- KwdFr :
- MESH :
- épidémiologie : Chine, Colombie-Britannique, Grippe humaine, Hong Kong.
- Humains, Modèles théoriques, Temps (météorologie), Épidémies.
English descriptors
- KwdEn :
- MESH :
- epidemiology : British Columbia, China, Hong Kong, Influenza, Human.
- Epidemics, Humans, Models, Theoretical, Weather.
Abstract
Weather 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.
DOI: 10.1007/s00484-016-1284-y
PubMed: 28180957
Affiliations:
Links toward previous steps (curation, corpus...)
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People's Republic of China. w2.hu@qut.edu.au.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Biostatistics, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:affiliation>School of Public Health and Social Work, The Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Brisbane, Queensland, 4059, Australia. w2.hu@qut.edu.au.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>School of Public Health and Social Work, The Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Brisbane, Queensland, 4059</wicri:regionArea><wicri:noRegion>4059</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date 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China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Biostatistics, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:affiliation>Shanghai Key Laboratory of Meteorology and Health, Shanghai, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Shanghai Key Laboratory of Meteorology and Health, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation></author><author><name sortKey="Yang, Lin" sort="Yang, Lin" uniqKey="Yang L" first="Lin" last="Yang">Lin Yang</name><affiliation wicri:level="1"><nlm:affiliation>School of Nursing, The Hong Kong Polytechnic University, Hong Kong, SAR, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Nursing, The Hong Kong Polytechnic University, Hong Kong, SAR</wicri:regionArea><wicri:noRegion>SAR</wicri:noRegion></affiliation></author><author><name sortKey="He, Dai Hai" sort="He, Dai Hai" uniqKey="He D" first="Dai-Hai" last="He">Dai-Hai He</name><affiliation wicri:level="1"><nlm:affiliation>Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, SAR, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, SAR</wicri:regionArea><wicri:noRegion>SAR</wicri:noRegion></affiliation></author><author><name sortKey="Chiu, Alice Py" sort="Chiu, Alice Py" uniqKey="Chiu A" first="Alice Py" last="Chiu">Alice Py Chiu</name><affiliation wicri:level="1"><nlm:affiliation>Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, SAR, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, SAR</wicri:regionArea><wicri:noRegion>SAR</wicri:noRegion></affiliation></author><author><name sortKey="Chan, Kwok Hung" sort="Chan, Kwok Hung" uniqKey="Chan K" first="Kwok-Hung" last="Chan">Kwok-Hung Chan</name><affiliation wicri:level="1"><nlm:affiliation>Department of Microbiology, The University of Hong Kong, Hong Kong, SAR, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Microbiology, The University of Hong Kong, Hong Kong, SAR</wicri:regionArea><wicri:noRegion>SAR</wicri:noRegion></affiliation></author><author><name sortKey="Chan, King Pan" sort="Chan, King Pan" uniqKey="Chan K" first="King-Pan" last="Chan">King-Pan Chan</name><affiliation wicri:level="1"><nlm:affiliation>School of Public Health, The University of Hong Kong, Hong Kong, SAR, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Public Health, The University of Hong Kong, Hong Kong, SAR</wicri:regionArea><wicri:noRegion>SAR</wicri:noRegion></affiliation></author><author><name sortKey="Zhou, Maigeng" sort="Zhou, Maigeng" uniqKey="Zhou M" first="Maigeng" last="Zhou">Maigeng Zhou</name><affiliation wicri:level="3"><nlm:affiliation>National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Wong, Chit Ming" sort="Wong, Chit Ming" uniqKey="Wong C" first="Chit-Ming" last="Wong">Chit-Ming Wong</name><affiliation wicri:level="1"><nlm:affiliation>School of Public Health, The University of Hong Kong, Hong Kong, SAR, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Public Health, The University of Hong Kong, Hong Kong, SAR</wicri:regionArea><wicri:noRegion>SAR</wicri:noRegion></affiliation></author><author><name sortKey="Guo, Qing" sort="Guo, Qing" uniqKey="Guo Q" first="Qing" last="Guo">Qing Guo</name><affiliation wicri:level="3"><nlm:affiliation>Center for Public Health Surveillance and Information Service, Chinese Center for Disease Control and Prevention, Beijing, China. guoqing@chinacdc.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center for Public Health Surveillance and Information Service, Chinese Center for Disease Control and Prevention, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Hu, Wenbiao" sort="Hu, Wenbiao" uniqKey="Hu W" first="Wenbiao" last="Hu">Wenbiao Hu</name><affiliation wicri:level="1"><nlm:affiliation>Department of Biostatistics, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, People's Republic of China. w2.hu@qut.edu.au.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Biostatistics, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai</wicri:regionArea><wicri:noRegion>Shanghai</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:affiliation>School of Public Health and Social Work, The Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Brisbane, Queensland, 4059, Australia. w2.hu@qut.edu.au.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>School of Public Health and Social Work, The Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Brisbane, Queensland, 4059</wicri:regionArea><wicri:noRegion>4059</wicri:noRegion></affiliation></author></analytic><series><title level="j">International journal of biometeorology</title><idno type="eISSN">1432-1254</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>British Columbia (epidemiology)</term><term>China (epidemiology)</term><term>Epidemics</term><term>Hong Kong (epidemiology)</term><term>Humans</term><term>Influenza, Human (epidemiology)</term><term>Models, Theoretical</term><term>Weather</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Chine (épidémiologie)</term><term>Colombie-Britannique (épidémiologie)</term><term>Grippe humaine (épidémiologie)</term><term>Hong Kong (épidémiologie)</term><term>Humains</term><term>Modèles théoriques</term><term>Temps (météorologie)</term><term>Épidémies</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>British Columbia</term><term>China</term><term>Hong Kong</term><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Chine</term><term>Colombie-Britannique</term><term>Grippe humaine</term><term>Hong Kong</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Epidemics</term><term>Humans</term><term>Models, Theoretical</term><term>Weather</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Humains</term><term>Modèles théoriques</term><term>Temps (météorologie)</term><term>Épidémies</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Weather 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.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28180957</PMID><DateCompleted><Year>2018</Year><Month>03</Month><Day>08</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1432-1254</ISSN><JournalIssue CitedMedium="Internet"><Volume>61</Volume><Issue>6</Issue><PubDate><Year>2017</Year><Month>Jun</Month></PubDate></JournalIssue><Title>International journal of biometeorology</Title><ISOAbbreviation>Int J Biometeorol</ISOAbbreviation></Journal><ArticleTitle>Different responses of influenza epidemic to weather factors among Shanghai, Hong Kong, and British Columbia.</ArticleTitle><Pagination><MedlinePgn>1043-1053</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1007/s00484-016-1284-y</ELocationID><Abstract><AbstractText>Weather 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.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Xi-Ling</ForeName><Initials>XL</Initials><AffiliationInfo><Affiliation>Department of Biostatistics, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, People's Republic of China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Shanghai Key Laboratory of Meteorology and Health, Shanghai, People's Republic of China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yang</LastName><ForeName>Lin</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>School of Nursing, The Hong Kong Polytechnic University, Hong Kong, SAR, People's Republic of China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>He</LastName><ForeName>Dai-Hai</ForeName><Initials>DH</Initials><AffiliationInfo><Affiliation>Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, SAR, People's Republic of China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chiu</LastName><ForeName>Alice Py</ForeName><Initials>AP</Initials><AffiliationInfo><Affiliation>Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, SAR, People's Republic of China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chan</LastName><ForeName>Kwok-Hung</ForeName><Initials>KH</Initials><AffiliationInfo><Affiliation>Department of Microbiology, The University of Hong Kong, Hong Kong, SAR, People's Republic of China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chan</LastName><ForeName>King-Pan</ForeName><Initials>KP</Initials><AffiliationInfo><Affiliation>School of Public Health, The University of Hong Kong, Hong Kong, SAR, People's Republic of China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhou</LastName><ForeName>Maigeng</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wong</LastName><ForeName>Chit-Ming</ForeName><Initials>CM</Initials><AffiliationInfo><Affiliation>School of Public Health, The University of Hong Kong, Hong Kong, SAR, People's Republic of China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Guo</LastName><ForeName>Qing</ForeName><Initials>Q</Initials><AffiliationInfo><Affiliation>Center for Public Health Surveillance and Information Service, Chinese Center for Disease Control and Prevention, Beijing, China. guoqing@chinacdc.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hu</LastName><ForeName>Wenbiao</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>Department of Biostatistics, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, People's Republic of China. w2.hu@qut.edu.au.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>School of Public Health and Social Work, The Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Brisbane, Queensland, 4059, Australia. w2.hu@qut.edu.au.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>02</Month><Day>08</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Int J Biometeorol</MedlineTA><NlmUniqueID>0374716</NlmUniqueID><ISSNLinking>0020-7128</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D001955" MajorTopicYN="N">British Columbia</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N">China</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D058872" MajorTopicYN="N">Epidemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006723" MajorTopicYN="N">Hong Kong</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" 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