Behaviors, movements, and transmission of droplet-mediated respiratory diseases during transcontinental airline flights.
Identifieur interne : 000A16 ( PubMed/Corpus ); précédent : 000A15; suivant : 000A17Behaviors, movements, and transmission of droplet-mediated respiratory diseases during transcontinental airline flights.
Auteurs : Vicki Stover Hertzberg ; Howard Weiss ; Lisa Elon ; Wenpei Si ; Sharon L. NorrisSource :
- Proceedings of the National Academy of Sciences of the United States of America [ 1091-6490 ] ; 2018.
English descriptors
- KwdEn :
- Air Movements, Air Travel, Aircraft, Communicable Diseases (psychology), Communicable Diseases (transmission), Computer Simulation, DNA, Viral (analysis), DNA, Viral (genetics), Global Health, Human Activities, Humans, Risk Assessment, Viruses (classification), Viruses (genetics), Viruses (pathogenicity).
- MESH :
- chemical , analysis : DNA, Viral.
- chemical , genetics : DNA, Viral.
- classification : Viruses.
- genetics : Viruses.
- pathogenicity : Viruses.
- psychology : Communicable Diseases.
- transmission : Communicable Diseases.
- Air Movements, Air Travel, Aircraft, Computer Simulation, Global Health, Human Activities, Humans, Risk Assessment.
Abstract
With over 3 billion airline passengers annually, the inflight transmission of infectious diseases is an important global health concern. Over a dozen cases of inflight transmission of serious infections have been documented, and air travel can serve as a conduit for the rapid spread of newly emerging infections and pandemics. Despite sensational media stories and anecdotes, the risks of transmission of respiratory viruses in an airplane cabin are unknown. Movements of passengers and crew may facilitate disease transmission. On 10 transcontinental US flights, we chronicled behaviors and movements of individuals in the economy cabin on single-aisle aircraft. We simulated transmission during flight based on these data. Our results indicate there is low probability of direct transmission to passengers not seated in close proximity to an infectious passenger. This data-driven, dynamic network transmission model of droplet-mediated respiratory disease is unique. To measure the true pathogen burden, our team collected 229 environmental samples during the flights. Although eight flights were during Influenza season, all qPCR assays for 18 common respiratory viruses were negative.
DOI: 10.1073/pnas.1711611115
PubMed: 29555754
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pubmed:29555754Le document en format XML
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Norris</name><affiliation><nlm:affiliation>Boeing Commercial Airplanes, The Boeing Company, Bellevue, WA 98004.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Proceedings of the National Academy of Sciences of the United States of America</title><idno type="eISSN">1091-6490</idno><imprint><date when="2018" type="published">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Air Movements</term><term>Air Travel</term><term>Aircraft</term><term>Communicable Diseases (psychology)</term><term>Communicable Diseases (transmission)</term><term>Computer Simulation</term><term>DNA, Viral (analysis)</term><term>DNA, Viral (genetics)</term><term>Global Health</term><term>Human Activities</term><term>Humans</term><term>Risk Assessment</term><term>Viruses (classification)</term><term>Viruses (genetics)</term><term>Viruses (pathogenicity)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>DNA, Viral</term></keywords><keywords scheme="MESH" type="chemical" qualifier="genetics" xml:lang="en"><term>DNA, Viral</term></keywords><keywords scheme="MESH" qualifier="classification" xml:lang="en"><term>Viruses</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Viruses</term></keywords><keywords scheme="MESH" qualifier="pathogenicity" xml:lang="en"><term>Viruses</term></keywords><keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>Communicable Diseases</term></keywords><keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Communicable Diseases</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Air Movements</term><term>Air Travel</term><term>Aircraft</term><term>Computer Simulation</term><term>Global Health</term><term>Human Activities</term><term>Humans</term><term>Risk Assessment</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">With over 3 billion airline passengers annually, the inflight transmission of infectious diseases is an important global health concern. Over a dozen cases of inflight transmission of serious infections have been documented, and air travel can serve as a conduit for the rapid spread of newly emerging infections and pandemics. Despite sensational media stories and anecdotes, the risks of transmission of respiratory viruses in an airplane cabin are unknown. Movements of passengers and crew may facilitate disease transmission. On 10 transcontinental US flights, we chronicled behaviors and movements of individuals in the economy cabin on single-aisle aircraft. We simulated transmission during flight based on these data. Our results indicate there is low probability of direct transmission to passengers not seated in close proximity to an infectious passenger. This data-driven, dynamic network transmission model of droplet-mediated respiratory disease is unique. To measure the true pathogen burden, our team collected 229 environmental samples during the flights. Although eight flights were during Influenza season, all qPCR assays for 18 common respiratory viruses were negative.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">29555754</PMID><DateCompleted><Year>2018</Year><Month>08</Month><Day>10</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>14</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1091-6490</ISSN><JournalIssue CitedMedium="Internet"><Volume>115</Volume><Issue>14</Issue><PubDate><Year>2018</Year><Month>04</Month><Day>03</Day></PubDate></JournalIssue><Title>Proceedings of the National Academy of Sciences of the United States of America</Title><ISOAbbreviation>Proc. Natl. Acad. Sci. U.S.A.</ISOAbbreviation></Journal><ArticleTitle>Behaviors, movements, and transmission of droplet-mediated respiratory diseases during transcontinental airline flights.</ArticleTitle><Pagination><MedlinePgn>3623-3627</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1073/pnas.1711611115</ELocationID><Abstract><AbstractText>With over 3 billion airline passengers annually, the inflight transmission of infectious diseases is an important global health concern. Over a dozen cases of inflight transmission of serious infections have been documented, and air travel can serve as a conduit for the rapid spread of newly emerging infections and pandemics. Despite sensational media stories and anecdotes, the risks of transmission of respiratory viruses in an airplane cabin are unknown. Movements of passengers and crew may facilitate disease transmission. On 10 transcontinental US flights, we chronicled behaviors and movements of individuals in the economy cabin on single-aisle aircraft. We simulated transmission during flight based on these data. Our results indicate there is low probability of direct transmission to passengers not seated in close proximity to an infectious passenger. This data-driven, dynamic network transmission model of droplet-mediated respiratory disease is unique. To measure the true pathogen burden, our team collected 229 environmental samples during the flights. Although eight flights were during Influenza season, all qPCR assays for 18 common respiratory viruses were negative.</AbstractText><CopyrightInformation>Copyright © 2018 the Author(s). Published by PNAS.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Hertzberg</LastName><ForeName>Vicki Stover</ForeName><Initials>VS</Initials><Identifier Source="ORCID">0000-0002-8834-4363</Identifier><AffiliationInfo><Affiliation>Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA 30322; vhertzb@emory.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Weiss</LastName><ForeName>Howard</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>School of Mathematics, Georgia Institute of Technology, Atlanta, GA 30313.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Elon</LastName><ForeName>Lisa</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Si</LastName><ForeName>Wenpei</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>Department of Mathematics and Computer Science, Emory University, Atlanta, GA 30322.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Norris</LastName><ForeName>Sharon L</ForeName><Initials>SL</Initials><AffiliationInfo><Affiliation>Boeing Commercial Airplanes, The Boeing Company, Bellevue, WA 98004.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><CollectiveName>FlyHealthy Research Team</CollectiveName></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2018</Year><Month>03</Month><Day>19</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Proc Natl Acad Sci U S A</MedlineTA><NlmUniqueID>7505876</NlmUniqueID><ISSNLinking>0027-8424</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D004279">DNA, Viral</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000392" MajorTopicYN="Y">Air Movements</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D064870" MajorTopicYN="Y">Air Travel</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000401" MajorTopicYN="Y">Aircraft</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003141" MajorTopicYN="N">Communicable Diseases</DescriptorName><QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName><QualifierName UI="Q000635" MajorTopicYN="Y">transmission</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003198" MajorTopicYN="N">Computer Simulation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004279" MajorTopicYN="N">DNA, Viral</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014943" MajorTopicYN="N">Global Health</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006802" MajorTopicYN="Y">Human Activities</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018570" MajorTopicYN="N">Risk Assessment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014780" MajorTopicYN="N">Viruses</DescriptorName><QualifierName UI="Q000145" MajorTopicYN="N">classification</QualifierName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000472" MajorTopicYN="Y">pathogenicity</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">SARS</Keyword><Keyword MajorTopicYN="Y">airplane transportation</Keyword><Keyword MajorTopicYN="Y">infectious disease transmission</Keyword><Keyword MajorTopicYN="Y">influenza</Keyword><Keyword MajorTopicYN="Y">pandemic</Keyword></KeywordList><CoiStatement>Conflict of interest statement: The authors received support from The Boeing Company (H.W.) by way of a subcontract to the Georgia Institute of Technology (V.S.H.). 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