Effects of human behaviour changes during the COVID-19 pandemic on influenza spread in Hong Kong.
Identifieur interne : 000171 ( Main/Exploration ); précédent : 000170; suivant : 000172Effects of human behaviour changes during the COVID-19 pandemic on influenza spread in Hong Kong.
Auteurs : Nan Zhang [République populaire de Chine] ; Wei Jia [République populaire de Chine] ; Hao Lei [République populaire de Chine] ; Peihua Wang [République populaire de Chine] ; Pengcheng Zhao [République populaire de Chine] ; Yong Guo [République populaire de Chine] ; Chung-Hin Dung [République populaire de Chine] ; Zhongming Bu [République populaire de Chine] ; Peng Xue [République populaire de Chine] ; Jingchao Xie [République populaire de Chine] ; Yingping Zhang [République populaire de Chine] ; Reynold Cheng [République populaire de Chine] ; Yuguo Li [République populaire de Chine]Source :
- Clinical infectious diseases : an official publication of the Infectious Diseases Society of America [ 1537-6591 ] ; 2020.
Abstract
BACKGROUND
COVID-19 continues to threaten human life worldwide. We explored how human behaviours have been influenced by the COVID-19 pandemic in Hong Kong, and how the transmission of other respiratory diseases (e.g. influenza) has been influenced by human behaviour.
METHODS
We focused on the spread of COVID-19 and influenza infections based on reported COVID-19 cases and influenza surveillance data, and investigated the changes in human behaviour due to COVID-19 based on mass transit railway data and the data from a telephone survey. We did the simulation based on SEIR model to assess the risk reduction of influenza transmission caused by the changes in human behaviour.
RESULTS
During the COVID-19 pandemic, the number of passengers fell by 52.0% compared with the same period in 2019. Residents spent 32.2% more time at home. Each person on average came into close contact with 17.6 and 7.1 people per day during the normal and pandemic periods, respectively. Students, workers, and older people reduced their daily number of close contacts by 83.0%, 48.1%, and 40.3%, respectively. The close contact rates in residences, workplaces, places of study, restaurants, shopping centres, markets, and public transport decreased by 8.3%, 30.8%, 66.0%, 38.5%, 48.6%, 41.0%, and 36.1%, respectively. Based on the simulation, these changes in human behaviours reduced the effective reproduction number of influenza by 63.1%.
CONCLUSIONS
Human behaviours were significantly influenced by the COVID-19 pandemic in Hong Kong. Close contact control contributed more than 47% to the reduction in infection risk of COVID-19.
DOI: 10.1093/cid/ciaa1818
PubMed: 33277643
Affiliations:
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Dung</name><affiliation wicri:level="1"><nlm:affiliation>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR</wicri:regionArea><wicri:noRegion>Hong Kong SAR</wicri:noRegion></affiliation></author><author><name sortKey="Bu, Zhongming" sort="Bu, Zhongming" uniqKey="Bu Z" first="Zhongming" last="Bu">Zhongming Bu</name><affiliation wicri:level="3"><nlm:affiliation>Department of Energy and Environmental System Engineering, Zhejiang University of Science and Technology, Hangzhou, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Energy and Environmental System Engineering, Zhejiang University of Science and Technology, Hangzhou</wicri:regionArea><placeName><settlement type="city">Hangzhou</settlement><region type="province">Zhejiang</region></placeName></affiliation></author><author><name sortKey="Xue, Peng" sort="Xue, Peng" uniqKey="Xue P" first="Peng" last="Xue">Peng Xue</name><affiliation wicri:level="3"><nlm:affiliation>Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Xie, Jingchao" sort="Xie, Jingchao" uniqKey="Xie J" first="Jingchao" last="Xie">Jingchao Xie</name><affiliation wicri:level="3"><nlm:affiliation>Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China.</nlm:affiliation><country 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Computer Science, The University of Hong Kong, Hong Kong SAR, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Computer Science, The University of Hong Kong, Hong Kong SAR</wicri:regionArea><wicri:noRegion>Hong Kong SAR</wicri:noRegion></affiliation></author><author><name sortKey="Li, Yuguo" sort="Li, Yuguo" uniqKey="Li Y" first="Yuguo" last="Li">Yuguo Li</name><affiliation wicri:level="1"><nlm:affiliation>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR</wicri:regionArea><wicri:noRegion>Hong Kong SAR</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:affiliation>School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China.</nlm:affiliation><country 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Kong.</title><author><name sortKey="Zhang, Nan" sort="Zhang, Nan" uniqKey="Zhang N" first="Nan" last="Zhang">Nan Zhang</name><affiliation wicri:level="3"><nlm:affiliation>Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation><affiliation wicri:level="1"><nlm:affiliation>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR</wicri:regionArea><wicri:noRegion>Hong Kong SAR</wicri:noRegion></affiliation></author><author><name sortKey="Jia, Wei" sort="Jia, Wei" uniqKey="Jia W" first="Wei" last="Jia">Wei Jia</name><affiliation wicri:level="1"><nlm:affiliation>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR</wicri:regionArea><wicri:noRegion>Hong Kong SAR</wicri:noRegion></affiliation></author><author><name sortKey="Lei, Hao" sort="Lei, Hao" uniqKey="Lei H" first="Hao" last="Lei">Hao Lei</name><affiliation wicri:level="4"><nlm:affiliation>School of Public Health, Zhejiang University, Hangzhou, Zhejiang, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Public Health, Zhejiang University, Hangzhou, Zhejiang</wicri:regionArea><orgName type="university">Université de Zhejiang</orgName><placeName><settlement type="city">Hangzhou</settlement><region type="province">Zhejiang</region></placeName></affiliation></author><author><name sortKey="Wang, Peihua" sort="Wang, Peihua" uniqKey="Wang P" first="Peihua" last="Wang">Peihua Wang</name><affiliation wicri:level="1"><nlm:affiliation>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR</wicri:regionArea><wicri:noRegion>Hong Kong SAR</wicri:noRegion></affiliation></author><author><name sortKey="Zhao, Pengcheng" sort="Zhao, Pengcheng" uniqKey="Zhao P" first="Pengcheng" last="Zhao">Pengcheng Zhao</name><affiliation wicri:level="1"><nlm:affiliation>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR</wicri:regionArea><wicri:noRegion>Hong Kong SAR</wicri:noRegion></affiliation></author><author><name sortKey="Guo, Yong" sort="Guo, Yong" uniqKey="Guo Y" first="Yong" last="Guo">Yong Guo</name><affiliation wicri:level="3"><nlm:affiliation>Department of Building Science, Tsinghua University, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Building Science, Tsinghua University, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Dung, Chung Hin" sort="Dung, Chung Hin" uniqKey="Dung C" first="Chung-Hin" last="Dung">Chung-Hin Dung</name><affiliation wicri:level="1"><nlm:affiliation>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR</wicri:regionArea><wicri:noRegion>Hong Kong SAR</wicri:noRegion></affiliation></author><author><name sortKey="Bu, Zhongming" sort="Bu, Zhongming" uniqKey="Bu Z" first="Zhongming" last="Bu">Zhongming Bu</name><affiliation wicri:level="3"><nlm:affiliation>Department of Energy and Environmental System Engineering, Zhejiang University of Science and Technology, Hangzhou, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Energy and Environmental System Engineering, Zhejiang University of Science and Technology, Hangzhou</wicri:regionArea><placeName><settlement type="city">Hangzhou</settlement><region type="province">Zhejiang</region></placeName></affiliation></author><author><name sortKey="Xue, Peng" sort="Xue, Peng" uniqKey="Xue P" first="Peng" last="Xue">Peng Xue</name><affiliation wicri:level="3"><nlm:affiliation>Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Xie, Jingchao" sort="Xie, Jingchao" uniqKey="Xie J" first="Jingchao" last="Xie">Jingchao Xie</name><affiliation wicri:level="3"><nlm:affiliation>Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Zhang, Yingping" sort="Zhang, Yingping" uniqKey="Zhang Y" first="Yingping" last="Zhang">Yingping Zhang</name><affiliation wicri:level="3"><nlm:affiliation>Department of Building Science, Tsinghua University, Beijing, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Building Science, Tsinghua University, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Cheng, Reynold" sort="Cheng, Reynold" uniqKey="Cheng R" first="Reynold" last="Cheng">Reynold Cheng</name><affiliation wicri:level="1"><nlm:affiliation>Department of Computer Science, The University of Hong Kong, Hong Kong SAR, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Computer Science, The University of Hong Kong, Hong Kong SAR</wicri:regionArea><wicri:noRegion>Hong Kong SAR</wicri:noRegion></affiliation></author><author><name sortKey="Li, Yuguo" sort="Li, Yuguo" uniqKey="Li Y" first="Yuguo" last="Li">Yuguo Li</name><affiliation wicri:level="1"><nlm:affiliation>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR</wicri:regionArea><wicri:noRegion>Hong Kong SAR</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:affiliation>School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR</wicri:regionArea><wicri:noRegion>Hong Kong SAR</wicri:noRegion></affiliation></author></analytic><series><title level="j">Clinical infectious diseases : an official publication of the Infectious Diseases Society of America</title><idno type="eISSN">1537-6591</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>COVID-19 continues to threaten human life worldwide. We explored how human behaviours have been influenced by the COVID-19 pandemic in Hong Kong, and how the transmission of other respiratory diseases (e.g. influenza) has been influenced by human behaviour.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>We focused on the spread of COVID-19 and influenza infections based on reported COVID-19 cases and influenza surveillance data, and investigated the changes in human behaviour due to COVID-19 based on mass transit railway data and the data from a telephone survey. We did the simulation based on SEIR model to assess the risk reduction of influenza transmission caused by the changes in human behaviour.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>During the COVID-19 pandemic, the number of passengers fell by 52.0% compared with the same period in 2019. Residents spent 32.2% more time at home. Each person on average came into close contact with 17.6 and 7.1 people per day during the normal and pandemic periods, respectively. Students, workers, and older people reduced their daily number of close contacts by 83.0%, 48.1%, and 40.3%, respectively. The close contact rates in residences, workplaces, places of study, restaurants, shopping centres, markets, and public transport decreased by 8.3%, 30.8%, 66.0%, 38.5%, 48.6%, 41.0%, and 36.1%, respectively. Based on the simulation, these changes in human behaviours reduced the effective reproduction number of influenza by 63.1%.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>Human behaviours were significantly influenced by the COVID-19 pandemic in Hong Kong. Close contact control contributed more than 47% to the reduction in infection risk of COVID-19.</p></div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">33277643</PMID><DateRevised><Year>2020</Year><Month>12</Month><Day>05</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1537-6591</ISSN><JournalIssue CitedMedium="Internet"><PubDate><Year>2020</Year><Month>Dec</Month><Day>04</Day></PubDate></JournalIssue><Title>Clinical infectious diseases : an official publication of the Infectious Diseases Society of America</Title><ISOAbbreviation>Clin Infect Dis</ISOAbbreviation></Journal><ArticleTitle>Effects of human behaviour changes during the COVID-19 pandemic on influenza spread in Hong Kong.</ArticleTitle><ELocationID EIdType="pii" ValidYN="Y">ciaa1818</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1093/cid/ciaa1818</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">COVID-19 continues to threaten human life worldwide. We explored how human behaviours have been influenced by the COVID-19 pandemic in Hong Kong, and how the transmission of other respiratory diseases (e.g. influenza) has been influenced by human behaviour.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">We focused on the spread of COVID-19 and influenza infections based on reported COVID-19 cases and influenza surveillance data, and investigated the changes in human behaviour due to COVID-19 based on mass transit railway data and the data from a telephone survey. We did the simulation based on SEIR model to assess the risk reduction of influenza transmission caused by the changes in human behaviour.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">During the COVID-19 pandemic, the number of passengers fell by 52.0% compared with the same period in 2019. Residents spent 32.2% more time at home. Each person on average came into close contact with 17.6 and 7.1 people per day during the normal and pandemic periods, respectively. Students, workers, and older people reduced their daily number of close contacts by 83.0%, 48.1%, and 40.3%, respectively. The close contact rates in residences, workplaces, places of study, restaurants, shopping centres, markets, and public transport decreased by 8.3%, 30.8%, 66.0%, 38.5%, 48.6%, 41.0%, and 36.1%, respectively. Based on the simulation, these changes in human behaviours reduced the effective reproduction number of influenza by 63.1%.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Human behaviours were significantly influenced by the COVID-19 pandemic in Hong Kong. Close contact control contributed more than 47% to the reduction in infection risk of COVID-19.</AbstractText><CopyrightInformation>© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Nan</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jia</LastName><ForeName>Wei</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lei</LastName><ForeName>Hao</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>School of Public Health, Zhejiang University, Hangzhou, Zhejiang, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Peihua</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhao</LastName><ForeName>Pengcheng</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Guo</LastName><ForeName>Yong</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Department of Building Science, Tsinghua University, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Dung</LastName><ForeName>Chung-Hin</ForeName><Initials>CH</Initials><AffiliationInfo><Affiliation>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bu</LastName><ForeName>Zhongming</ForeName><Initials>Z</Initials><AffiliationInfo><Affiliation>Department of Energy and Environmental System Engineering, Zhejiang University of Science and Technology, Hangzhou, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Xue</LastName><ForeName>Peng</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Xie</LastName><ForeName>Jingchao</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Yingping</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Department of Building Science, Tsinghua University, Beijing, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cheng</LastName><ForeName>Reynold</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Department of Computer Science, The University of Hong Kong, Hong Kong SAR, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Yuguo</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>12</Month><Day>04</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Clin Infect Dis</MedlineTA><NlmUniqueID>9203213</NlmUniqueID><ISSNLinking>1058-4838</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">COVID-19</Keyword><Keyword MajorTopicYN="N">close contact</Keyword><Keyword MajorTopicYN="N">human behaviour</Keyword><Keyword MajorTopicYN="N">influenza</Keyword><Keyword MajorTopicYN="N">non-pharmaceutical interventions</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>11</Month><Day>04</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>12</Month><Day>5</Day><Hour>5</Hour><Minute>32</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>12</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>12</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>aheadofprint</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">33277643</ArticleId><ArticleId IdType="pii">6024447</ArticleId><ArticleId IdType="doi">10.1093/cid/ciaa1818</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>République populaire de Chine</li></country><region><li>Zhejiang</li></region><settlement><li>Hangzhou</li><li>Pékin</li></settlement><orgName><li>Université de Zhejiang</li></orgName></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Zhang, Nan" sort="Zhang, Nan" uniqKey="Zhang N" first="Nan" last="Zhang">Nan Zhang</name></noRegion><name sortKey="Bu, Zhongming" sort="Bu, Zhongming" uniqKey="Bu Z" first="Zhongming" last="Bu">Zhongming Bu</name><name sortKey="Cheng, Reynold" sort="Cheng, Reynold" uniqKey="Cheng R" first="Reynold" last="Cheng">Reynold Cheng</name><name sortKey="Dung, Chung Hin" sort="Dung, Chung Hin" uniqKey="Dung C" first="Chung-Hin" last="Dung">Chung-Hin Dung</name><name sortKey="Guo, Yong" sort="Guo, Yong" uniqKey="Guo Y" first="Yong" last="Guo">Yong Guo</name><name sortKey="Jia, Wei" sort="Jia, Wei" uniqKey="Jia W" first="Wei" last="Jia">Wei Jia</name><name sortKey="Lei, Hao" sort="Lei, Hao" uniqKey="Lei H" first="Hao" last="Lei">Hao Lei</name><name sortKey="Li, Yuguo" sort="Li, Yuguo" uniqKey="Li Y" first="Yuguo" last="Li">Yuguo Li</name><name sortKey="Li, Yuguo" sort="Li, Yuguo" uniqKey="Li Y" first="Yuguo" last="Li">Yuguo Li</name><name sortKey="Wang, Peihua" sort="Wang, Peihua" uniqKey="Wang P" first="Peihua" last="Wang">Peihua Wang</name><name sortKey="Xie, Jingchao" sort="Xie, Jingchao" uniqKey="Xie J" first="Jingchao" last="Xie">Jingchao Xie</name><name sortKey="Xue, Peng" sort="Xue, Peng" uniqKey="Xue P" first="Peng" last="Xue">Peng Xue</name><name sortKey="Zhang, Nan" sort="Zhang, Nan" uniqKey="Zhang N" first="Nan" last="Zhang">Nan Zhang</name><name sortKey="Zhang, Yingping" sort="Zhang, Yingping" uniqKey="Zhang Y" first="Yingping" last="Zhang">Yingping Zhang</name><name sortKey="Zhao, Pengcheng" sort="Zhao, Pengcheng" uniqKey="Zhao P" first="Pengcheng" last="Zhao">Pengcheng Zhao</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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