A database of geopositioned Middle East Respiratory Syndrome Coronavirus occurrences.
Identifieur interne : 000332 ( PubMed/Corpus ); précédent : 000331; suivant : 000333A database of geopositioned Middle East Respiratory Syndrome Coronavirus occurrences.
Auteurs : Rebecca E. Ramshaw ; Ian D. Letourneau ; Amy Y. Hong ; Julia Hon ; Julia D. Morgan ; Joshua C P. Osborne ; Shreya Shirude ; Maria D. Van Kerkhove ; Simon I. Hay ; David M. PigottSource :
- Scientific data [ 2052-4463 ] ; 2019.
Abstract
As a World Health Organization Research and Development Blueprint priority pathogen, there is a need to better understand the geographic distribution of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) and its potential to infect mammals and humans. This database documents cases of MERS-CoV globally, with specific attention paid to zoonotic transmission. An initial literature search was conducted in PubMed, Web of Science, and Scopus; after screening articles according to the inclusion/exclusion criteria, a total of 208 sources were selected for extraction and geo-positioning. Each MERS-CoV occurrence was assigned one of the following classifications based upon published contextual information: index, unspecified, secondary, mammal, environmental, or imported. In total, this database is comprised of 861 unique geo-positioned MERS-CoV occurrences. The purpose of this article is to share a collated MERS-CoV database and extraction protocol that can be utilized in future mapping efforts for both MERS-CoV and other infectious diseases. More broadly, it may also provide useful data for the development of targeted MERS-CoV surveillance, which would prove invaluable in preventing future zoonotic spillover.
DOI: 10.1038/s41597-019-0330-0
PubMed: 31836720
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pubmed:31836720Le document en format XML
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Ramshaw</name><affiliation><nlm:affiliation>Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave., Suite 600, Seattle, WA, United States.</nlm:affiliation></affiliation></author><author><name sortKey="Letourneau, Ian D" sort="Letourneau, Ian D" uniqKey="Letourneau I" first="Ian D" last="Letourneau">Ian D. Letourneau</name><affiliation><nlm:affiliation>Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave., Suite 600, Seattle, WA, United States.</nlm:affiliation></affiliation></author><author><name sortKey="Hong, Amy Y" sort="Hong, Amy Y" uniqKey="Hong A" first="Amy Y" last="Hong">Amy Y. Hong</name><affiliation><nlm:affiliation>Bloomberg School of Public Health, Johns Hopkins University, 615N Wolfe St, Baltimore, MD, 21205, United States.</nlm:affiliation></affiliation></author><author><name sortKey="Hon, Julia" sort="Hon, Julia" uniqKey="Hon J" first="Julia" last="Hon">Julia Hon</name><affiliation><nlm:affiliation>Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave., Suite 600, Seattle, WA, United States.</nlm:affiliation></affiliation></author><author><name sortKey="Morgan, Julia D" sort="Morgan, Julia D" uniqKey="Morgan J" first="Julia D" last="Morgan">Julia D. Morgan</name><affiliation><nlm:affiliation>Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave., Suite 600, Seattle, WA, United States.</nlm:affiliation></affiliation></author><author><name sortKey="Osborne, Joshua C P" sort="Osborne, Joshua C P" uniqKey="Osborne J" first="Joshua C P" last="Osborne">Joshua C P. Osborne</name><affiliation><nlm:affiliation>Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave., Suite 600, Seattle, WA, United States.</nlm:affiliation></affiliation></author><author><name sortKey="Shirude, Shreya" sort="Shirude, Shreya" uniqKey="Shirude S" first="Shreya" last="Shirude">Shreya Shirude</name><affiliation><nlm:affiliation>Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave., Suite 600, Seattle, WA, United States.</nlm:affiliation></affiliation></author><author><name sortKey="Van Kerkhove, Maria D" sort="Van Kerkhove, Maria D" uniqKey="Van Kerkhove M" first="Maria D" last="Van Kerkhove">Maria D. Van Kerkhove</name><affiliation><nlm:affiliation>Department of Infectious Hazards Management, Health Emergencies Programme, World Health Organization, Avenue Appia 20, 1211, Geneva, Switzerland.</nlm:affiliation></affiliation></author><author><name sortKey="Hay, Simon I" sort="Hay, Simon I" uniqKey="Hay S" first="Simon I" last="Hay">Simon I. Hay</name><affiliation><nlm:affiliation>Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave., Suite 600, Seattle, WA, United States.</nlm:affiliation></affiliation></author><author><name sortKey="Pigott, David M" sort="Pigott, David M" uniqKey="Pigott D" first="David M" last="Pigott">David M. Pigott</name><affiliation><nlm:affiliation>Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave., Suite 600, Seattle, WA, United States. pigottdm@uw.edu.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Scientific data</title><idno type="eISSN">2052-4463</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">As a World Health Organization Research and Development Blueprint priority pathogen, there is a need to better understand the geographic distribution of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) and its potential to infect mammals and humans. This database documents cases of MERS-CoV globally, with specific attention paid to zoonotic transmission. An initial literature search was conducted in PubMed, Web of Science, and Scopus; after screening articles according to the inclusion/exclusion criteria, a total of 208 sources were selected for extraction and geo-positioning. Each MERS-CoV occurrence was assigned one of the following classifications based upon published contextual information: index, unspecified, secondary, mammal, environmental, or imported. In total, this database is comprised of 861 unique geo-positioned MERS-CoV occurrences. The purpose of this article is to share a collated MERS-CoV database and extraction protocol that can be utilized in future mapping efforts for both MERS-CoV and other infectious diseases. More broadly, it may also provide useful data for the development of targeted MERS-CoV surveillance, which would prove invaluable in preventing future zoonotic spillover.</div></front></TEI><pubmed><MedlineCitation Status="In-Process" Owner="NLM"><PMID Version="1">31836720</PMID><DateRevised><Year>2020</Year><Month>04</Month><Day>16</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">2052-4463</ISSN><JournalIssue CitedMedium="Internet"><Volume>6</Volume><Issue>1</Issue><PubDate><Year>2019</Year><Month>12</Month><Day>13</Day></PubDate></JournalIssue><Title>Scientific data</Title><ISOAbbreviation>Sci Data</ISOAbbreviation></Journal><ArticleTitle>A database of geopositioned Middle East Respiratory Syndrome Coronavirus occurrences.</ArticleTitle><Pagination><MedlinePgn>318</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1038/s41597-019-0330-0</ELocationID><Abstract><AbstractText>As a World Health Organization Research and Development Blueprint priority pathogen, there is a need to better understand the geographic distribution of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) and its potential to infect mammals and humans. This database documents cases of MERS-CoV globally, with specific attention paid to zoonotic transmission. An initial literature search was conducted in PubMed, Web of Science, and Scopus; after screening articles according to the inclusion/exclusion criteria, a total of 208 sources were selected for extraction and geo-positioning. Each MERS-CoV occurrence was assigned one of the following classifications based upon published contextual information: index, unspecified, secondary, mammal, environmental, or imported. In total, this database is comprised of 861 unique geo-positioned MERS-CoV occurrences. The purpose of this article is to share a collated MERS-CoV database and extraction protocol that can be utilized in future mapping efforts for both MERS-CoV and other infectious diseases. More broadly, it may also provide useful data for the development of targeted MERS-CoV surveillance, which would prove invaluable in preventing future zoonotic spillover.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ramshaw</LastName><ForeName>Rebecca E</ForeName><Initials>RE</Initials><AffiliationInfo><Affiliation>Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave., Suite 600, Seattle, WA, United States.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Letourneau</LastName><ForeName>Ian D</ForeName><Initials>ID</Initials><AffiliationInfo><Affiliation>Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave., Suite 600, Seattle, WA, United States.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hong</LastName><ForeName>Amy Y</ForeName><Initials>AY</Initials><AffiliationInfo><Affiliation>Bloomberg School of Public Health, Johns Hopkins University, 615N Wolfe St, Baltimore, MD, 21205, United States.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hon</LastName><ForeName>Julia</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave., Suite 600, Seattle, WA, United States.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Morgan</LastName><ForeName>Julia D</ForeName><Initials>JD</Initials><AffiliationInfo><Affiliation>Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave., Suite 600, Seattle, WA, United States.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Osborne</LastName><ForeName>Joshua C P</ForeName><Initials>JCP</Initials><AffiliationInfo><Affiliation>Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave., Suite 600, Seattle, WA, United States.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Shirude</LastName><ForeName>Shreya</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave., Suite 600, Seattle, WA, United States.</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>Department of Infectious Hazards Management, Health Emergencies Programme, World Health Organization, Avenue Appia 20, 1211, Geneva, Switzerland.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hay</LastName><ForeName>Simon I</ForeName><Initials>SI</Initials><Identifier Source="ORCID">0000-0002-0611-7272</Identifier><AffiliationInfo><Affiliation>Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave., Suite 600, Seattle, WA, United 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