Local influenza-like illness surveillance at a university health system during the 2009 H1N1 influenza pandemic.
Identifieur interne : 000C17 ( PubMed/Checkpoint ); précédent : 000C16; suivant : 000C18Local influenza-like illness surveillance at a university health system during the 2009 H1N1 influenza pandemic.
Auteurs : Arthur W. Baker [États-Unis] ; Kyle Enfield ; Beth Mehring ; James C. Turner ; Costi D. SifriSource :
- American journal of infection control [ 1527-3296 ] ; 2012.
Descripteurs français
- KwdFr :
- Dossiers médicaux électroniques (), Grippe humaine (diagnostic), Grippe humaine (virologie), Grippe humaine (épidémiologie), Humains, Hôpitaux universitaires, Lutte contre l'infection (), Médecine clinique (), Pandémies, Sous-type H1N1 du virus de la grippe A (isolement et purification), Surveillance sentinelle, Virginie (épidémiologie), Électronique médicale ().
- MESH :
- diagnostic : Grippe humaine.
- isolement et purification : Sous-type H1N1 du virus de la grippe A.
- virologie : Grippe humaine.
- épidémiologie : Grippe humaine, Virginie.
- Dossiers médicaux électroniques, Humains, Hôpitaux universitaires, Lutte contre l'infection, Médecine clinique, Pandémies, Surveillance sentinelle, Électronique médicale.
English descriptors
- KwdEn :
- Clinical Medicine (methods), Electronic Health Records (statistics & numerical data), Electronics, Medical (methods), Hospitals, University, Humans, Infection Control (methods), Influenza A Virus, H1N1 Subtype (isolation & purification), Influenza, Human (diagnosis), Influenza, Human (epidemiology), Influenza, Human (virology), Pandemics, Sentinel Surveillance, Virginia (epidemiology).
- MESH :
- geographic , epidemiology : Virginia.
- diagnosis : Influenza, Human.
- epidemiology : Influenza, Human.
- isolation & purification : Influenza A Virus, H1N1 Subtype.
- methods : Clinical Medicine, Electronics, Medical, Infection Control.
- statistics & numerical data : Electronic Health Records.
- virology : Influenza, Human.
- Hospitals, University, Humans, Pandemics, Sentinel Surveillance.
Abstract
The 2009 novel H1N1 influenza epidemic generated interest in regional and national influenza surveillance methods. Some systems revamped traditional syndromic and laboratory surveillance techniques, whereas others tracked influenza by Internet-based searches or other unique methods. We hypothesized that an influenza-like illness (ILI) surveillance system at a single university hospital would be accurate and useful for monitoring local influenza activity and impact.
DOI: 10.1016/j.ajic.2011.12.009
PubMed: 22418609
Affiliations:
Links toward previous steps (curation, corpus...)
Links to Exploration step
pubmed:22418609Le document en format XML
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<author><name sortKey="Baker, Arthur W" sort="Baker, Arthur W" uniqKey="Baker A" first="Arthur W" last="Baker">Arthur W. Baker</name>
<affiliation wicri:level="2"><nlm:affiliation>Department of Medicine, University of Virginia Health System, Charlottesville, VA 22908-0473, USA.</nlm:affiliation>
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<author><name sortKey="Sifri, Costi D" sort="Sifri, Costi D" uniqKey="Sifri C" first="Costi D" last="Sifri">Costi D. Sifri</name>
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<term>Humans</term>
<term>Infection Control (methods)</term>
<term>Influenza A Virus, H1N1 Subtype (isolation & purification)</term>
<term>Influenza, Human (diagnosis)</term>
<term>Influenza, Human (epidemiology)</term>
<term>Influenza, Human (virology)</term>
<term>Pandemics</term>
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<term>Grippe humaine (épidémiologie)</term>
<term>Humains</term>
<term>Hôpitaux universitaires</term>
<term>Lutte contre l'infection ()</term>
<term>Médecine clinique ()</term>
<term>Pandémies</term>
<term>Sous-type H1N1 du virus de la grippe A (isolement et purification)</term>
<term>Surveillance sentinelle</term>
<term>Virginie (épidémiologie)</term>
<term>Électronique médicale ()</term>
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<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Virginia</term>
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<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term>
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<term>Electronics, Medical</term>
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<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Grippe humaine</term>
<term>Virginie</term>
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<keywords scheme="MESH" xml:lang="en"><term>Hospitals, University</term>
<term>Humans</term>
<term>Pandemics</term>
<term>Sentinel Surveillance</term>
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<keywords scheme="MESH" xml:lang="fr"><term>Dossiers médicaux électroniques</term>
<term>Humains</term>
<term>Hôpitaux universitaires</term>
<term>Lutte contre l'infection</term>
<term>Médecine clinique</term>
<term>Pandémies</term>
<term>Surveillance sentinelle</term>
<term>Électronique médicale</term>
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<front><div type="abstract" xml:lang="en">The 2009 novel H1N1 influenza epidemic generated interest in regional and national influenza surveillance methods. Some systems revamped traditional syndromic and laboratory surveillance techniques, whereas others tracked influenza by Internet-based searches or other unique methods. We hypothesized that an influenza-like illness (ILI) surveillance system at a single university hospital would be accurate and useful for monitoring local influenza activity and impact.</div>
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<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">22418609</PMID>
<DateCompleted><Year>2013</Year>
<Month>07</Month>
<Day>08</Day>
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<DateRevised><Year>2012</Year>
<Month>09</Month>
<Day>03</Day>
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<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1527-3296</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>40</Volume>
<Issue>7</Issue>
<PubDate><Year>2012</Year>
<Month>Sep</Month>
</PubDate>
</JournalIssue>
<Title>American journal of infection control</Title>
<ISOAbbreviation>Am J Infect Control</ISOAbbreviation>
</Journal>
<ArticleTitle>Local influenza-like illness surveillance at a university health system during the 2009 H1N1 influenza pandemic.</ArticleTitle>
<Pagination><MedlinePgn>606-10</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.ajic.2011.12.009</ELocationID>
<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The 2009 novel H1N1 influenza epidemic generated interest in regional and national influenza surveillance methods. Some systems revamped traditional syndromic and laboratory surveillance techniques, whereas others tracked influenza by Internet-based searches or other unique methods. We hypothesized that an influenza-like illness (ILI) surveillance system at a single university hospital would be accurate and useful for monitoring local influenza activity and impact.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">We developed a system of ILI surveillance at 8 sentinel sites associated with a university health care system before the pandemic 2009-10 influenza season. Most sentinel sites used a symptom-based definition of ILI, whereas others used electronic medical records-based definitions.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Results of the local ILI surveillance network correlated well with the onset and peak of the influenza season compared with state and regional ILI data, closely approximated cases of microbiologically confirmed influenza, demonstrated early onset of illness in one site in the sentinel site network, and were available several days sooner than data from existing surveillance systems.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Local influenza surveillance at a single-institution level provided timely, useful, and accurate information, which helped guide resource utilization during the pandemic influenza season. The system was an important supplement to state and regional influenza surveillance.</AbstractText>
<CopyrightInformation>Copyright © 2012 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Mosby, Inc. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Baker</LastName>
<ForeName>Arthur W</ForeName>
<Initials>AW</Initials>
<AffiliationInfo><Affiliation>Department of Medicine, University of Virginia Health System, Charlottesville, VA 22908-0473, USA.</Affiliation>
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<Author ValidYN="Y"><LastName>Enfield</LastName>
<ForeName>Kyle</ForeName>
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<Author ValidYN="Y"><LastName>Mehring</LastName>
<ForeName>Beth</ForeName>
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<Author ValidYN="Y"><LastName>Turner</LastName>
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<Author ValidYN="Y"><LastName>Sifri</LastName>
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<MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName>
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<name sortKey="Sifri, Costi D" sort="Sifri, Costi D" uniqKey="Sifri C" first="Costi D" last="Sifri">Costi D. Sifri</name>
<name sortKey="Turner, James C" sort="Turner, James C" uniqKey="Turner J" first="James C" last="Turner">James C. Turner</name>
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<country name="États-Unis"><region name="Virginie"><name sortKey="Baker, Arthur W" sort="Baker, Arthur W" uniqKey="Baker A" first="Arthur W" last="Baker">Arthur W. Baker</name>
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