Transmission characteristics of MERS and SARS in the healthcare setting: a comparative study.
Identifieur interne : 000D25 ( PubMed/Checkpoint ); précédent : 000D24; suivant : 000D26Transmission characteristics of MERS and SARS in the healthcare setting: a comparative study.
Auteurs : Gerardo Chowell [États-Unis] ; Fatima Abdirizak [États-Unis] ; Sunmi Lee [Corée du Sud] ; Jonggul Lee [Corée du Sud] ; Eunok Jung [Corée du Sud] ; Hiroshi Nishiura [Japon] ; Cécile Viboud [États-Unis]Source :
- BMC medicine [ 1741-7015 ] ; 2015.
Descripteurs français
- KwdFr :
- Adulte d'âge moyen, Arabie saoudite (épidémiologie), Coronavirus du syndrome respiratoire du Moyen-Orient, Femelle, Flambées de maladies, Humains, Hôpitaux, Infection croisée (épidémiologie), Infections à coronavirus (transmission), Modèles théoriques, Mâle, République de Corée (épidémiologie), Sujet âgé, Syndrome respiratoire aigu sévère (transmission).
- MESH :
English descriptors
- KwdEn :
- Aged, Coronavirus Infections (transmission), Cross Infection (epidemiology), Disease Outbreaks, Female, Hospitals, Humans, Male, Middle Aged, Middle East Respiratory Syndrome Coronavirus, Models, Theoretical, Republic of Korea (epidemiology), Saudi Arabia (epidemiology), Severe Acute Respiratory Syndrome (transmission).
- MESH :
- epidemiology : Cross Infection, Republic of Korea, Saudi Arabia.
- transmission : Coronavirus Infections, Severe Acute Respiratory Syndrome.
- Aged, Disease Outbreaks, Female, Hospitals, Humans, Male, Middle Aged, Middle East Respiratory Syndrome Coronavirus, Models, Theoretical.
Abstract
The Middle East respiratory syndrome (MERS) coronavirus has caused recurrent outbreaks in the Arabian Peninsula since 2012. Although MERS has low overall human-to-human transmission potential, there is occasional amplification in the healthcare setting, a pattern reminiscent of the dynamics of the severe acute respiratory syndrome (SARS) outbreaks in 2003. Here we provide a head-to-head comparison of exposure patterns and transmission dynamics of large hospital clusters of MERS and SARS, including the most recent South Korean outbreak of MERS in 2015.
DOI: 10.1186/s12916-015-0450-0
PubMed: 26336062
Affiliations:
- Corée du Sud, Japon, États-Unis
- Géorgie (États-Unis), Maryland, Région de Kantō
- Tokyo
- Université de Tokyo
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study.</title><author><name sortKey="Chowell, Gerardo" sort="Chowell, Gerardo" uniqKey="Chowell G" first="Gerardo" last="Chowell">Gerardo Chowell</name><affiliation wicri:level="2"><nlm:affiliation>School of Public Health, Georgia State University, Atlanta, Georgia, USA. gchowell@gsu.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>School of Public Health, Georgia State University, Atlanta, Georgia</wicri:regionArea><placeName><region type="state">Géorgie (États-Unis)</region></placeName></affiliation></author><author><name sortKey="Abdirizak, Fatima" sort="Abdirizak, Fatima" uniqKey="Abdirizak F" first="Fatima" last="Abdirizak">Fatima Abdirizak</name><affiliation wicri:level="2"><nlm:affiliation>School of Public Health, Georgia State University, Atlanta, Georgia, USA. fabdirizak@gmail.com.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>School of Public Health, Georgia State University, Atlanta, Georgia</wicri:regionArea><placeName><region type="state">Géorgie (États-Unis)</region></placeName></affiliation></author><author><name sortKey="Lee, Sunmi" sort="Lee, Sunmi" uniqKey="Lee S" first="Sunmi" last="Lee">Sunmi Lee</name><affiliation wicri:level="1"><nlm:affiliation>Department of Applied Mathematics, Kyung Hee University, Yongin-si, 446-701, Republic of Korea. mathever@gmail.com.</nlm:affiliation><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Department of Applied Mathematics, Kyung Hee University, Yongin-si, 446-701</wicri:regionArea><wicri:noRegion>446-701</wicri:noRegion></affiliation></author><author><name sortKey="Lee, Jonggul" sort="Lee, Jonggul" uniqKey="Lee J" first="Jonggul" last="Lee">Jonggul Lee</name><affiliation wicri:level="1"><nlm:affiliation>Department of Mathematics, Konkuk University, 120 Neungdong-ro, Gwngjin-gu, Seoul, 143-701, Republic of Korea. jg4lee@gmail.com.</nlm:affiliation><country xml:lang="fr">Corée du 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type="state">Maryland</region></placeName></affiliation></author></analytic><series><title level="j">BMC medicine</title><idno type="eISSN">1741-7015</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged</term><term>Coronavirus Infections (transmission)</term><term>Cross Infection (epidemiology)</term><term>Disease Outbreaks</term><term>Female</term><term>Hospitals</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Middle East Respiratory Syndrome Coronavirus</term><term>Models, Theoretical</term><term>Republic of Korea (epidemiology)</term><term>Saudi Arabia (epidemiology)</term><term>Severe Acute Respiratory Syndrome (transmission)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte d'âge moyen</term><term>Arabie saoudite (épidémiologie)</term><term>Coronavirus du syndrome respiratoire du Moyen-Orient</term><term>Femelle</term><term>Flambées de maladies</term><term>Humains</term><term>Hôpitaux</term><term>Infection croisée (épidémiologie)</term><term>Infections à coronavirus (transmission)</term><term>Modèles théoriques</term><term>Mâle</term><term>République de Corée (épidémiologie)</term><term>Sujet âgé</term><term>Syndrome respiratoire aigu sévère (transmission)</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Cross Infection</term><term>Republic of Korea</term><term>Saudi Arabia</term></keywords><keywords scheme="MESH" qualifier="transmission" xml:lang="en"><term>Coronavirus Infections</term><term>Severe Acute Respiratory Syndrome</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Arabie saoudite</term><term>Infection croisée</term><term>Infections à coronavirus</term><term>République de Corée</term><term>Syndrome respiratoire aigu sévère</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Disease Outbreaks</term><term>Female</term><term>Hospitals</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Middle East Respiratory Syndrome Coronavirus</term><term>Models, Theoretical</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte d'âge moyen</term><term>Coronavirus du syndrome respiratoire du Moyen-Orient</term><term>Femelle</term><term>Flambées de maladies</term><term>Humains</term><term>Hôpitaux</term><term>Modèles théoriques</term><term>Mâle</term><term>Sujet âgé</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The Middle East respiratory syndrome (MERS) coronavirus has caused recurrent outbreaks in the Arabian Peninsula since 2012. Although MERS has low overall human-to-human transmission potential, there is occasional amplification in the healthcare setting, a pattern reminiscent of the dynamics of the severe acute respiratory syndrome (SARS) outbreaks in 2003. Here we provide a head-to-head comparison of exposure patterns and transmission dynamics of large hospital clusters of MERS and SARS, including the most recent South Korean outbreak of MERS in 2015.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">26336062</PMID><DateCompleted><Year>2016</Year><Month>02</Month><Day>29</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>02</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1741-7015</ISSN><JournalIssue CitedMedium="Internet"><Volume>13</Volume><PubDate><Year>2015</Year><Month>Sep</Month><Day>03</Day></PubDate></JournalIssue><Title>BMC medicine</Title><ISOAbbreviation>BMC Med</ISOAbbreviation></Journal><ArticleTitle>Transmission characteristics of MERS and SARS in the healthcare setting: a comparative study.</ArticleTitle><Pagination><MedlinePgn>210</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/s12916-015-0450-0</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The Middle East respiratory syndrome (MERS) coronavirus has caused recurrent outbreaks in the Arabian Peninsula since 2012. Although MERS has low overall human-to-human transmission potential, there is occasional amplification in the healthcare setting, a pattern reminiscent of the dynamics of the severe acute respiratory syndrome (SARS) outbreaks in 2003. Here we provide a head-to-head comparison of exposure patterns and transmission dynamics of large hospital clusters of MERS and SARS, including the most recent South Korean outbreak of MERS in 2015.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">To assess the unexpected nature of the recent South Korean nosocomial outbreak of MERS and estimate the probability of future large hospital clusters, we compared exposure and transmission patterns for previously reported hospital clusters of MERS and SARS, based on individual-level data and transmission tree information. We carried out simulations of nosocomial outbreaks of MERS and SARS using branching process models rooted in transmission tree data, and inferred the probability and characteristics of large outbreaks.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">A significant fraction of MERS cases were linked to the healthcare setting, ranging from 43.5 % for the nosocomial outbreak in Jeddah, Saudi Arabia, in 2014 to 100 % for both the outbreak in Al-Hasa, Saudi Arabia, in 2013 and the outbreak in South Korea in 2015. Both MERS and SARS nosocomial outbreaks are characterized by early nosocomial super-spreading events, with the reproduction number dropping below 1 within three to five disease generations. There was a systematic difference in the exposure patterns of MERS and SARS: a majority of MERS cases occurred among patients who sought care in the same facilities as the index case, whereas there was a greater concentration of SARS cases among healthcare workers throughout the outbreak. Exposure patterns differed slightly by disease generation, however, especially for SARS. Moreover, the distributions of secondary cases per single primary case varied highly across individual hospital outbreaks (Kruskal-Wallis test; P < 0.0001), with significantly higher transmission heterogeneity in the distribution of secondary cases for MERS than SARS. Simulations indicate a 2-fold higher probability of occurrence of large outbreaks (>100 cases) for SARS than MERS (2 % versus 1 %); however, owing to higher transmission heterogeneity, the largest outbreaks of MERS are characterized by sharper incidence peaks. The probability of occurrence of MERS outbreaks larger than the South Korean cluster (n = 186) is of the order of 1 %.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Our study suggests that the South Korean outbreak followed a similar progression to previously described hospital clusters involving coronaviruses, with early super-spreading events generating a disproportionately large number of secondary infections, and the transmission potential diminishing greatly in subsequent generations. Differences in relative exposure patterns and transmission heterogeneity of MERS and SARS could point to changes in hospital practices since 2003 or differences in transmission mechanisms of these coronaviruses.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Chowell</LastName><ForeName>Gerardo</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>School of Public Health, Georgia State University, Atlanta, Georgia, USA. gchowell@gsu.edu.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA. gchowell@gsu.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Abdirizak</LastName><ForeName>Fatima</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>School of Public Health, Georgia State University, Atlanta, Georgia, USA. fabdirizak@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lee</LastName><ForeName>Sunmi</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Department of Applied Mathematics, Kyung Hee University, Yongin-si, 446-701, Republic of Korea. mathever@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lee</LastName><ForeName>Jonggul</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Mathematics, Konkuk University, 120 Neungdong-ro, Gwngjin-gu, Seoul, 143-701, Republic of Korea. jg4lee@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jung</LastName><ForeName>Eunok</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>Department of Mathematics, Konkuk University, 120 Neungdong-ro, Gwngjin-gu, Seoul, 143-701, Republic of Korea. eunokjung@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Nishiura</LastName><ForeName>Hiroshi</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. nishiurah@gmail.com.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>CREST, Japan Science and Technology Agency, Saitama, Japan. nishiurah@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Viboud</LastName><ForeName>Cécile</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA. viboudc@mail.nih.gov.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D003160">Comparative Study</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>09</Month><Day>03</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>BMC Med</MedlineTA><NlmUniqueID>101190723</NlmUniqueID><ISSNLinking>1741-7015</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000635" MajorTopicYN="Y">transmission</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003428" MajorTopicYN="N">Cross Infection</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004196" MajorTopicYN="N">Disease Outbreaks</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006761" MajorTopicYN="N">Hospitals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D065207" MajorTopicYN="N">Middle East Respiratory Syndrome Coronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008962" MajorTopicYN="N">Models, Theoretical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D056910" MajorTopicYN="N">Republic of Korea</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012529" MajorTopicYN="N">Saudi Arabia</DescriptorName><QualifierName UI="Q000453" 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Tokyo</li></orgName></list><tree><country name="États-Unis"><region name="Géorgie (États-Unis)"><name sortKey="Chowell, Gerardo" sort="Chowell, Gerardo" uniqKey="Chowell G" first="Gerardo" last="Chowell">Gerardo Chowell</name></region><name sortKey="Abdirizak, Fatima" sort="Abdirizak, Fatima" uniqKey="Abdirizak F" first="Fatima" last="Abdirizak">Fatima Abdirizak</name><name sortKey="Viboud, Cecile" sort="Viboud, Cecile" uniqKey="Viboud C" first="Cécile" last="Viboud">Cécile Viboud</name></country><country name="Corée du Sud"><noRegion><name sortKey="Lee, Sunmi" sort="Lee, Sunmi" uniqKey="Lee S" first="Sunmi" last="Lee">Sunmi Lee</name></noRegion><name sortKey="Jung, Eunok" sort="Jung, Eunok" uniqKey="Jung E" first="Eunok" last="Jung">Eunok Jung</name><name sortKey="Lee, Jonggul" sort="Lee, Jonggul" uniqKey="Lee J" first="Jonggul" last="Lee">Jonggul Lee</name></country><country name="Japon"><region name="Région de Kantō"><name sortKey="Nishiura, Hiroshi" sort="Nishiura, Hiroshi" uniqKey="Nishiura H" first="Hiroshi" last="Nishiura">Hiroshi Nishiura</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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