PandemieGrippaleV1, PubMed, Corpus, bibRecord, 000C76

Simulating school closure policies for cost effective pandemic decision making.

Identifieur interne : 000C76 ( PubMed/Corpus ); précédent : 000C75; suivant : 000C77

Simulating school closure policies for cost effective pandemic decision making.

Auteurs : Ozgur M. Araz ; Paul Damien ; David A. Paltiel ; Sean Burke ; Bryce Van De Geijn ; Alison Galvani ; Lauren Ancel Meyers

Source :

BMC public health [ 1471-2458 ] ; 2012.

RBID : pubmed:22713694

English descriptors

KwdEn :
- Adolescent, Child, Child, Preschool, Computer Simulation, Cost-Benefit Analysis, Decision Support Techniques, Health Policy (economics), Humans, Influenza A Virus, H1N1 Subtype, Influenza, Human (economics), Influenza, Human (epidemiology), Models, Economic, Models, Theoretical, Pandemics (economics), Pandemics (prevention & control), Schools (economics), Schools (organization & administration), Texas (epidemiology), Young Adult.
MESH :
- geographic , epidemiology : Texas.
- economics : Health Policy, Influenza, Human, Pandemics, Schools.
- epidemiology : Influenza, Human.
- organization & administration : Schools.
- prevention & control : Pandemics.
- Adolescent, Child, Child, Preschool, Computer Simulation, Cost-Benefit Analysis, Decision Support Techniques, Humans, Influenza A Virus, H1N1 Subtype, Models, Economic, Models, Theoretical, Young Adult.

Abstract

Around the globe, school closures were used sporadically to mitigate the 2009 H1N1 influenza pandemic. However, such closures can detrimentally impact economic and social life.

DOI: 10.1186/1471-2458-12-449
PubMed: 22713694

Links to Exploration step

pubmed:22713694

Le document en format XML

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<author><name sortKey="Araz, Ozgur M" sort="Araz, Ozgur M" uniqKey="Araz O" first="Ozgur M" last="Araz">Ozgur M. Araz</name>
<affiliation><nlm:affiliation>College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA. ozgur.araz@unmc.edu</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Damien, Paul" sort="Damien, Paul" uniqKey="Damien P" first="Paul" last="Damien">Paul Damien</name>
</author>
<author><name sortKey="Paltiel, David A" sort="Paltiel, David A" uniqKey="Paltiel D" first="David A" last="Paltiel">David A. Paltiel</name>
</author>
<author><name sortKey="Burke, Sean" sort="Burke, Sean" uniqKey="Burke S" first="Sean" last="Burke">Sean Burke</name>
</author>
<author><name sortKey="Van De Geijn, Bryce" sort="Van De Geijn, Bryce" uniqKey="Van De Geijn B" first="Bryce" last="Van De Geijn">Bryce Van De Geijn</name>
</author>
<author><name sortKey="Galvani, Alison" sort="Galvani, Alison" uniqKey="Galvani A" first="Alison" last="Galvani">Alison Galvani</name>
</author>
<author><name sortKey="Meyers, Lauren Ancel" sort="Meyers, Lauren Ancel" uniqKey="Meyers L" first="Lauren Ancel" last="Meyers">Lauren Ancel Meyers</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Simulating school closure policies for cost effective pandemic decision making.</title>
<author><name sortKey="Araz, Ozgur M" sort="Araz, Ozgur M" uniqKey="Araz O" first="Ozgur M" last="Araz">Ozgur M. Araz</name>
<affiliation><nlm:affiliation>College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA. ozgur.araz@unmc.edu</nlm:affiliation>
</affiliation>
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<author><name sortKey="Damien, Paul" sort="Damien, Paul" uniqKey="Damien P" first="Paul" last="Damien">Paul Damien</name>
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<author><name sortKey="Paltiel, David A" sort="Paltiel, David A" uniqKey="Paltiel D" first="David A" last="Paltiel">David A. Paltiel</name>
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<author><name sortKey="Burke, Sean" sort="Burke, Sean" uniqKey="Burke S" first="Sean" last="Burke">Sean Burke</name>
</author>
<author><name sortKey="Van De Geijn, Bryce" sort="Van De Geijn, Bryce" uniqKey="Van De Geijn B" first="Bryce" last="Van De Geijn">Bryce Van De Geijn</name>
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<author><name sortKey="Galvani, Alison" sort="Galvani, Alison" uniqKey="Galvani A" first="Alison" last="Galvani">Alison Galvani</name>
</author>
<author><name sortKey="Meyers, Lauren Ancel" sort="Meyers, Lauren Ancel" uniqKey="Meyers L" first="Lauren Ancel" last="Meyers">Lauren Ancel Meyers</name>
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</analytic>
<series><title level="j">BMC public health</title>
<idno type="eISSN">1471-2458</idno>
<imprint><date when="2012" type="published">2012</date>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Computer Simulation</term>
<term>Cost-Benefit Analysis</term>
<term>Decision Support Techniques</term>
<term>Health Policy (economics)</term>
<term>Humans</term>
<term>Influenza A Virus, H1N1 Subtype</term>
<term>Influenza, Human (economics)</term>
<term>Influenza, Human (epidemiology)</term>
<term>Models, Economic</term>
<term>Models, Theoretical</term>
<term>Pandemics (economics)</term>
<term>Pandemics (prevention & control)</term>
<term>Schools (economics)</term>
<term>Schools (organization & administration)</term>
<term>Texas (epidemiology)</term>
<term>Young Adult</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Texas</term>
</keywords>
<keywords scheme="MESH" qualifier="economics" xml:lang="en"><term>Health Policy</term>
<term>Influenza, Human</term>
<term>Pandemics</term>
<term>Schools</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="organization & administration" xml:lang="en"><term>Schools</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Pandemics</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adolescent</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Computer Simulation</term>
<term>Cost-Benefit Analysis</term>
<term>Decision Support Techniques</term>
<term>Humans</term>
<term>Influenza A Virus, H1N1 Subtype</term>
<term>Models, Economic</term>
<term>Models, Theoretical</term>
<term>Young Adult</term>
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<front><div type="abstract" xml:lang="en">Around the globe, school closures were used sporadically to mitigate the 2009 H1N1 influenza pandemic. However, such closures can detrimentally impact economic and social life.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">22713694</PMID>
<DateCompleted><Year>2013</Year>
<Month>01</Month>
<Day>10</Day>
</DateCompleted>
<DateRevised><Year>2018</Year>
<Month>11</Month>
<Day>13</Day>
</DateRevised>
<Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2458</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>12</Volume>
<PubDate><Year>2012</Year>
<Month>Jun</Month>
<Day>18</Day>
</PubDate>
</JournalIssue>
<Title>BMC public health</Title>
<ISOAbbreviation>BMC Public Health</ISOAbbreviation>
</Journal>
<ArticleTitle>Simulating school closure policies for cost effective pandemic decision making.</ArticleTitle>
<Pagination><MedlinePgn>449</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1186/1471-2458-12-449</ELocationID>
<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Around the globe, school closures were used sporadically to mitigate the 2009 H1N1 influenza pandemic. However, such closures can detrimentally impact economic and social life.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">Here, we couple a decision analytic approach with a mathematical model of influenza transmission to estimate the impact of school closures in terms of epidemiological and cost effectiveness. Our method assumes that the transmissibility and the severity of the disease are uncertain, and evaluates several closure and reopening strategies that cover a range of thresholds in school-aged prevalence (SAP) and closure durations.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Assuming a willingness to pay per quality adjusted life-year (QALY) threshold equal to the US per capita GDP ($46,000), we found that the cost effectiveness of these strategies is highly dependent on the severity and on a willingness to pay per QALY. For severe pandemics, the preferred strategy couples the earliest closure trigger (0.5% SAP) with the longest duration closure (24 weeks) considered. For milder pandemics, the preferred strategies also involve the earliest closure trigger, but are shorter duration (12 weeks for low transmission rates and variable length for high transmission rates).</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">These findings highlight the importance of obtaining early estimates of pandemic severity and provide guidance to public health decision-makers for effectively tailoring school closures strategies in response to a newly emergent influenza pandemic.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Araz</LastName>
<ForeName>Ozgur M</ForeName>
<Initials>OM</Initials>
<AffiliationInfo><Affiliation>College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA. ozgur.araz@unmc.edu</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Damien</LastName>
<ForeName>Paul</ForeName>
<Initials>P</Initials>
</Author>
<Author ValidYN="Y"><LastName>Paltiel</LastName>
<ForeName>David A</ForeName>
<Initials>DA</Initials>
</Author>
<Author ValidYN="Y"><LastName>Burke</LastName>
<ForeName>Sean</ForeName>
<Initials>S</Initials>
</Author>
<Author ValidYN="Y"><LastName>van de Geijn</LastName>
<ForeName>Bryce</ForeName>
<Initials>B</Initials>
</Author>
<Author ValidYN="Y"><LastName>Galvani</LastName>
<ForeName>Alison</ForeName>
<Initials>A</Initials>
</Author>
<Author ValidYN="Y"><LastName>Meyers</LastName>
<ForeName>Lauren Ancel</ForeName>
<Initials>LA</Initials>
</Author>
</AuthorList>
<Language>eng</Language>
<GrantList CompleteYN="Y"><Grant><GrantID>U01 GM087719</GrantID>
<Acronym>GM</Acronym>
<Agency>NIGMS NIH HHS</Agency>
<Country>United States</Country>
</Grant>
</GrantList>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2012</Year>
<Month>06</Month>
<Day>18</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>England</Country>
<MedlineTA>BMC Public Health</MedlineTA>
<NlmUniqueID>100968562</NlmUniqueID>
<ISSNLinking>1471-2458</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003198" MajorTopicYN="N">Computer Simulation</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003362" MajorTopicYN="N">Cost-Benefit Analysis</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003661" MajorTopicYN="Y">Decision Support Techniques</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006291" MajorTopicYN="N">Health Policy</DescriptorName>
<QualifierName UI="Q000191" MajorTopicYN="Y">economics</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D053118" MajorTopicYN="Y">Influenza A Virus, H1N1 Subtype</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName>
<QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018803" MajorTopicYN="N">Models, Economic</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008962" MajorTopicYN="N">Models, Theoretical</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName>
<QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012574" MajorTopicYN="N">Schools</DescriptorName>
<QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName>
<QualifierName UI="Q000458" MajorTopicYN="Y">organization & administration</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013781" MajorTopicYN="N" Type="Geographic">Texas</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName>
</MeshHeading>
</MeshHeadingList>
</MedlineCitation>
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<Month>12</Month>
<Day>13</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2012</Year>
<Month>05</Month>
<Day>07</Day>
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Simulating school closure policies for cost effective pandemic decision making.

Simulating school closure policies for cost effective pandemic decision making.

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