Risk of global spread of Middle East respiratory syndrome coronavirus (MERS-CoV) via the air transport network.
Identifieur interne : 000F74 ( PubMed/Corpus ); précédent : 000F73; suivant : 000F75Risk of global spread of Middle East respiratory syndrome coronavirus (MERS-CoV) via the air transport network.
Auteurs : Lauren M. Gardner ; Abrar A. Chughtai ; C Raina MacintyreSource :
- Journal of travel medicine [ 1708-8305 ] ; 2016.
English descriptors
- KwdEn :
- Airports, Aviation, Communicable Disease Control (methods), Coronavirus Infections (prevention & control), Coronavirus Infections (transmission), Disease Outbreaks (statistics & numerical data), Global Health, Humans, Middle East, Middle East Respiratory Syndrome Coronavirus, Risk Assessment, Travel.
- MESH :
- methods : Communicable Disease Control.
- prevention & control : Coronavirus Infections.
- statistics & numerical data : Disease Outbreaks.
- transmission : Coronavirus Infections.
- Airports, Aviation, Global Health, Humans, Middle East, Middle East Respiratory Syndrome Coronavirus, Risk Assessment, Travel.
Abstract
Middle East respiratory syndrome coronavirus (MERS-CoV) emerged from the Kingdom of Saudi Arabia (KSA) in 2012 and has since spread to 26 countries. All cases reported so far have either been in the Middle East or linked to the region through passenger air travel, with the largest outbreak outside KSA occurring in South Korea. Further international spread is likely due to the high travel volumes of global travel, as well as the occurrence of large annual mass gathering such as the Haj and Umrah pilgrimages that take place in the region.
DOI: 10.1093/jtm/taw063
PubMed: 27601536
Links to Exploration step
pubmed:27601536Le document en format XML
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<author><name sortKey="Gardner, Lauren M" sort="Gardner, Lauren M" uniqKey="Gardner L" first="Lauren M" last="Gardner">Lauren M. Gardner</name>
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<author><name sortKey="Chughtai, Abrar A" sort="Chughtai, Abrar A" uniqKey="Chughtai A" first="Abrar A" last="Chughtai">Abrar A. Chughtai</name>
<affiliation><nlm:affiliation>School of Public Health and Community Medicine, Faculty of Medicine, UNSW Australia, Sydney, NSW, 2052, Australia.</nlm:affiliation>
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<author><name sortKey="Macintyre, C Raina" sort="Macintyre, C Raina" uniqKey="Macintyre C" first="C Raina" last="Macintyre">C Raina Macintyre</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Risk of global spread of Middle East respiratory syndrome coronavirus (MERS-CoV) via the air transport network.</title>
<author><name sortKey="Gardner, Lauren M" sort="Gardner, Lauren M" uniqKey="Gardner L" first="Lauren M" last="Gardner">Lauren M. Gardner</name>
<affiliation><nlm:affiliation>School of Civil and Environmental Engineering, UNSW Australia, Sydney, NSW 2052, Australia l.gardner@unsw.edu.au.</nlm:affiliation>
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<author><name sortKey="Chughtai, Abrar A" sort="Chughtai, Abrar A" uniqKey="Chughtai A" first="Abrar A" last="Chughtai">Abrar A. Chughtai</name>
<affiliation><nlm:affiliation>School of Public Health and Community Medicine, Faculty of Medicine, UNSW Australia, Sydney, NSW, 2052, Australia.</nlm:affiliation>
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<author><name sortKey="Macintyre, C Raina" sort="Macintyre, C Raina" uniqKey="Macintyre C" first="C Raina" last="Macintyre">C Raina Macintyre</name>
<affiliation><nlm:affiliation>School of Public Health and Community Medicine, Faculty of Medicine, UNSW Australia, Sydney, NSW, 2052, Australia College of Public Services and Community Solutions, Arizona State University, Tempe, AZ, USA.</nlm:affiliation>
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<series><title level="j">Journal of travel medicine</title>
<idno type="eISSN">1708-8305</idno>
<imprint><date when="2016" type="published">2016</date>
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<term>Aviation</term>
<term>Communicable Disease Control (methods)</term>
<term>Coronavirus Infections (prevention & control)</term>
<term>Coronavirus Infections (transmission)</term>
<term>Disease Outbreaks (statistics & numerical data)</term>
<term>Global Health</term>
<term>Humans</term>
<term>Middle East</term>
<term>Middle East Respiratory Syndrome Coronavirus</term>
<term>Risk Assessment</term>
<term>Travel</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Communicable Disease Control</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Coronavirus Infections</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Disease Outbreaks</term>
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<keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Coronavirus Infections</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Airports</term>
<term>Aviation</term>
<term>Global Health</term>
<term>Humans</term>
<term>Middle East</term>
<term>Middle East Respiratory Syndrome Coronavirus</term>
<term>Risk Assessment</term>
<term>Travel</term>
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<front><div type="abstract" xml:lang="en">Middle East respiratory syndrome coronavirus (MERS-CoV) emerged from the Kingdom of Saudi Arabia (KSA) in 2012 and has since spread to 26 countries. All cases reported so far have either been in the Middle East or linked to the region through passenger air travel, with the largest outbreak outside KSA occurring in South Korea. Further international spread is likely due to the high travel volumes of global travel, as well as the occurrence of large annual mass gathering such as the Haj and Umrah pilgrimages that take place in the region.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">27601536</PMID>
<DateCompleted><Year>2017</Year>
<Month>03</Month>
<Day>14</Day>
</DateCompleted>
<DateRevised><Year>2017</Year>
<Month>03</Month>
<Day>14</Day>
</DateRevised>
<Article PubModel="Electronic-Print"><Journal><ISSN IssnType="Electronic">1708-8305</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>23</Volume>
<Issue>6</Issue>
<PubDate><Year>2016</Year>
<Month>Jun</Month>
</PubDate>
</JournalIssue>
<Title>Journal of travel medicine</Title>
<ISOAbbreviation>J Travel Med</ISOAbbreviation>
</Journal>
<ArticleTitle>Risk of global spread of Middle East respiratory syndrome coronavirus (MERS-CoV) via the air transport network.</ArticleTitle>
<ELocationID EIdType="doi" ValidYN="Y">10.1093/jtm/taw063</ELocationID>
<ELocationID EIdType="pii" ValidYN="Y">taw063</ELocationID>
<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Middle East respiratory syndrome coronavirus (MERS-CoV) emerged from the Kingdom of Saudi Arabia (KSA) in 2012 and has since spread to 26 countries. All cases reported so far have either been in the Middle East or linked to the region through passenger air travel, with the largest outbreak outside KSA occurring in South Korea. Further international spread is likely due to the high travel volumes of global travel, as well as the occurrence of large annual mass gathering such as the Haj and Umrah pilgrimages that take place in the region.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">In this study, a transport network modelling framework was used to quantify the risk of MERS-CoV spreading internationally via air travellers. All regions connected to MERS-CoV affected countries via air travel are considered, and the countries at highest risk of travel-related importations of MERS-CoV were identified, ranked and compared with actual spread of MERS cases.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">The model identifies all countries that have previously reported a travel acquired case to be in the top 50 at-risk countries. India, Pakistan and Bangladesh are the highest risk countries which have yet to report a case, and should be prepared for the possibility of (pilgrims and general) travellers returning infected with MERS-CoV. In addition, the UK, Egypt, Turkey and the USA are at risk of more cases.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">We have demonstrated a risk-analysis approach, using travel patterns, to prioritize countries at highest risk for MERS-CoV importations. In order to prevent global outbreaks such as the one seen in South Korea, it is critical for high-risk countries to be prepared and have appropriate screening and triage protocols in place to identify travel-related cases of MERS-CoV. The results from the model can be used by countries to prioritize their airport and hospital screening and triage protocols.</AbstractText>
<CopyrightInformation>© International Society of Travel Medicine, 2016. All rights reserved. Published by Oxford University Press. For permissions, please e-mail: journals.permissions@oup.com.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Gardner</LastName>
<ForeName>Lauren M</ForeName>
<Initials>LM</Initials>
<AffiliationInfo><Affiliation>School of Civil and Environmental Engineering, UNSW Australia, Sydney, NSW 2052, Australia l.gardner@unsw.edu.au.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chughtai</LastName>
<ForeName>Abrar A</ForeName>
<Initials>AA</Initials>
<AffiliationInfo><Affiliation>School of Public Health and Community Medicine, Faculty of Medicine, UNSW Australia, Sydney, NSW, 2052, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>MacIntyre</LastName>
<ForeName>C Raina</ForeName>
<Initials>CR</Initials>
<AffiliationInfo><Affiliation>School of Public Health and Community Medicine, Faculty of Medicine, UNSW Australia, Sydney, NSW, 2052, Australia College of Public Services and Community Solutions, Arizona State University, Tempe, AZ, USA.</Affiliation>
</AffiliationInfo>
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<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
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<ArticleDate DateType="Electronic"><Year>2016</Year>
<Month>09</Month>
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<MedlineJournalInfo><Country>England</Country>
<MedlineTA>J Travel Med</MedlineTA>
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<ISSNLinking>1195-1982</ISSNLinking>
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<MeshHeadingList><MeshHeading><DescriptorName UI="D059028" MajorTopicYN="N">Airports</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D001359" MajorTopicYN="Y">Aviation</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003140" MajorTopicYN="N">Communicable Disease Control</DescriptorName>
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<MeshHeading><DescriptorName UI="D004196" MajorTopicYN="N">Disease Outbreaks</DescriptorName>
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<MeshHeading><DescriptorName UI="D014943" MajorTopicYN="N">Global Health</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
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<MeshHeading><DescriptorName UI="D008877" MajorTopicYN="N">Middle East</DescriptorName>
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<MeshHeading><DescriptorName UI="D065207" MajorTopicYN="Y">Middle East Respiratory Syndrome Coronavirus</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018570" MajorTopicYN="N">Risk Assessment</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D014195" MajorTopicYN="Y">Travel</DescriptorName>
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</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">MERS-CoV</Keyword>
<Keyword MajorTopicYN="N">air travel</Keyword>
<Keyword MajorTopicYN="N">network modeling</Keyword>
<Keyword MajorTopicYN="N">risk</Keyword>
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