Comparative Analysis of Eleven Healthcare-Associated Outbreaks of Middle East Respiratory Syndrome Coronavirus (Mers-Cov) from 2015 to 2017.
Identifieur interne : 000539 ( PubMed/Corpus ); précédent : 000538; suivant : 000540Comparative Analysis of Eleven Healthcare-Associated Outbreaks of Middle East Respiratory Syndrome Coronavirus (Mers-Cov) from 2015 to 2017.
Auteurs : Sibylle Bernard-Stoecklin ; Birgit Nikolay ; Abdullah Assiri ; Abdul Aziz Bin Saeed ; Peter Karim Ben Embarek ; Hassan El Bushra ; Moran Ki ; Mamunur Rahman Malik ; Arnaud Fontanet ; Simon Cauchemez ; Maria D. Van KerkhoveSource :
- Scientific reports [ 2045-2322 ] ; 2019.
Abstract
Since its emergence in 2012, 2,260 cases and 803 deaths due to Middle East respiratory syndrome coronavirus (MERS-CoV) have been reported to the World Health Organization. Most cases were due to transmission in healthcare settings, sometimes causing large outbreaks. We analyzed epidemiologic and clinical data of laboratory-confirmed MERS-CoV cases from eleven healthcare-associated outbreaks in the Kingdom of Saudi Arabia and the Republic of Korea between 2015-2017. We quantified key epidemiological differences between outbreaks. Twenty-five percent (n = 105/422) of MERS cases who acquired infection in a hospital setting were healthcare personnel. In multivariate analyses, age ≥65 (OR 4.8, 95%CI: 2.6-8.7) and the presence of underlying comorbidities (OR: 2.7, 95% CI: 1.3-5.7) were associated with increased mortality whereas working as healthcare personnel was protective (OR 0.07, 95% CI: 0.01-0.34). At the start of these outbreaks, the reproduction number ranged from 1.0 to 5.7; it dropped below 1 within 2 to 6 weeks. This study provides a comprehensive characterization of MERS HCA-outbreaks. Our results highlight heterogeneities in the epidemiological profile of healthcare-associated outbreaks. The limitations of our study stress the urgent need for standardized data collection for high-threat respiratory pathogens, such as MERS-CoV.
DOI: 10.1038/s41598-019-43586-9
PubMed: 31089148
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Van Kerkhove</name><affiliation><nlm:affiliation>Formerly Outbreak Investigation Task Force, Centre for Global Health, Institut Pasteur, 75015, Paris, France. vankerkhovem@who.int.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Scientific reports</title><idno type="eISSN">2045-2322</idno><imprint><date when="2019" type="published">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Since its emergence in 2012, 2,260 cases and 803 deaths due to Middle East respiratory syndrome coronavirus (MERS-CoV) have been reported to the World Health Organization. Most cases were due to transmission in healthcare settings, sometimes causing large outbreaks. We analyzed epidemiologic and clinical data of laboratory-confirmed MERS-CoV cases from eleven healthcare-associated outbreaks in the Kingdom of Saudi Arabia and the Republic of Korea between 2015-2017. We quantified key epidemiological differences between outbreaks. Twenty-five percent (n = 105/422) of MERS cases who acquired infection in a hospital setting were healthcare personnel. In multivariate analyses, age ≥65 (OR 4.8, 95%CI: 2.6-8.7) and the presence of underlying comorbidities (OR: 2.7, 95% CI: 1.3-5.7) were associated with increased mortality whereas working as healthcare personnel was protective (OR 0.07, 95% CI: 0.01-0.34). At the start of these outbreaks, the reproduction number ranged from 1.0 to 5.7; it dropped below 1 within 2 to 6 weeks. This study provides a comprehensive characterization of MERS HCA-outbreaks. Our results highlight heterogeneities in the epidemiological profile of healthcare-associated outbreaks. The limitations of our study stress the urgent need for standardized data collection for high-threat respiratory pathogens, such as MERS-CoV.</div></front></TEI><pubmed><MedlineCitation Status="In-Process" Owner="NLM"><PMID Version="1">31089148</PMID><DateRevised><Year>2020</Year><Month>04</Month><Day>06</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">2045-2322</ISSN><JournalIssue CitedMedium="Internet"><Volume>9</Volume><Issue>1</Issue><PubDate><Year>2019</Year><Month>05</Month><Day>14</Day></PubDate></JournalIssue><Title>Scientific reports</Title><ISOAbbreviation>Sci Rep</ISOAbbreviation></Journal><ArticleTitle>Comparative Analysis of Eleven Healthcare-Associated Outbreaks of Middle East Respiratory Syndrome Coronavirus (Mers-Cov) from 2015 to 2017.</ArticleTitle><Pagination><MedlinePgn>7385</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1038/s41598-019-43586-9</ELocationID><Abstract><AbstractText>Since its emergence in 2012, 2,260 cases and 803 deaths due to Middle East respiratory syndrome coronavirus (MERS-CoV) have been reported to the World Health Organization. Most cases were due to transmission in healthcare settings, sometimes causing large outbreaks. We analyzed epidemiologic and clinical data of laboratory-confirmed MERS-CoV cases from eleven healthcare-associated outbreaks in the Kingdom of Saudi Arabia and the Republic of Korea between 2015-2017. We quantified key epidemiological differences between outbreaks. Twenty-five percent (n = 105/422) of MERS cases who acquired infection in a hospital setting were healthcare personnel. In multivariate analyses, age ≥65 (OR 4.8, 95%CI: 2.6-8.7) and the presence of underlying comorbidities (OR: 2.7, 95% CI: 1.3-5.7) were associated with increased mortality whereas working as healthcare personnel was protective (OR 0.07, 95% CI: 0.01-0.34). At the start of these outbreaks, the reproduction number ranged from 1.0 to 5.7; it dropped below 1 within 2 to 6 weeks. This study provides a comprehensive characterization of MERS HCA-outbreaks. Our results highlight heterogeneities in the epidemiological profile of healthcare-associated outbreaks. The limitations of our study stress the urgent need for standardized data collection for high-threat respiratory pathogens, such as MERS-CoV.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Bernard-Stoecklin</LastName><ForeName>Sibylle</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Formerly Outbreak Investigation Task Force, Centre for Global Health, Institut Pasteur, 75015, Paris, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Direction of infectious diseases, Santé publique France, Saint-Maurice, 94410, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Nikolay</LastName><ForeName>Birgit</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Mathematical Modelling of Infectious Diseases, Institut Pasteur, UMR2000, CNRS, 75015, Paris, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Assiri</LastName><ForeName>Abdullah</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Ministry of Health, Riyadh, Saudi Arabia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bin Saeed</LastName><ForeName>Abdul Aziz</ForeName><Initials>AA</Initials><AffiliationInfo><Affiliation>Formerly Ministry of Health, Riyadh, Saudi Arabia.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Family and Community Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ben Embarek</LastName><ForeName>Peter Karim</ForeName><Initials>PK</Initials><AffiliationInfo><Affiliation>International Food Safety Authorities Network (INFOSAN) Management, Department of Food Safety and Zoonoses, World Health Organization, Geneva, Switzerland.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>El Bushra</LastName><ForeName>Hassan</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Formerly Ministry of Health, Riyadh, Saudi Arabia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ki</LastName><ForeName>Moran</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Cancer Control and Policy, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Malik</LastName><ForeName>Mamunur Rahman</ForeName><Initials>MR</Initials><AffiliationInfo><Affiliation>Infectious Hazard Management Unit, Department of Health Emergencies, World Health Organization Regional Office for the Eastern Mediterranean, Cairo, Egypt.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Fontanet</LastName><ForeName>Arnaud</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Emerging Diseases Epidemiology Unit, Institut Pasteur, 75015, Paris, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Centre for Global Health, Institut Pasteur, 75015, Paris, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Conservatoire National des Arts et Métiers, Paris, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cauchemez</LastName><ForeName>Simon</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Mathematical Modelling of Infectious Diseases, Institut Pasteur, UMR2000, CNRS, 75015, Paris, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Van Kerkhove</LastName><ForeName>Maria D</ForeName><Initials>MD</Initials><Identifier Source="ORCID">0000-0002-6135-0018</Identifier><AffiliationInfo><Affiliation>Formerly Outbreak Investigation Task Force, Centre for Global Health, Institut Pasteur, 75015, Paris, France. vankerkhovem@who.int.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Infectious Hazards Management, Health Emergencies Programme, World Health Organization, Geneva, Switzerland. vankerkhovem@who.int.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>001</GrantID><Agency>World Health Organization</Agency><Country>International</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2019</Year><Month>05</Month><Day>14</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Sci Rep</MedlineTA><NlmUniqueID>101563288</NlmUniqueID><ISSNLinking>2045-2322</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2018</Year><Month>11</Month><Day>11</Day></PubMedPubDate><PubMedPubDate 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