Population Dynamics in the Elderly: The Need for Age-Adjustment in National BioSurveillance Systems
Identifieur interne : 000527 ( Istex/Corpus ); précédent : 000526; suivant : 000528Population Dynamics in the Elderly: The Need for Age-Adjustment in National BioSurveillance Systems
Auteurs : Steven A. Cohen ; Elena N. NaumovaSource :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: With the growing threat of pandemic influenza, efforts to improve national surveillance to better predict and prevent this disease from affecting the most vulnerable populations are being undertaken. This paper examines the utility of Medicare data to obtain age-specific influenza hospitalization rates for historical analyses. We present a novel approach to describing and analyzing age-specific patterns of hospitalizations using Medicare data and show the implications of a dynamic population age distribution on hospitalization rates. We use these techniques to highlight the utility of implementing a real-time nationwide surveillance system for influenza cases and vaccination, and discuss opportunities to improve the existing system to inform policy and reduce the burden of influenza nationwide.
Url:
DOI: 10.1007/978-3-540-72608-1_5
Links to Exploration step
ISTEX:CE7C55DAF832833658EC16875815DE07B89FCA03Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Population Dynamics in the Elderly: The Need for Age-Adjustment in National BioSurveillance Systems</title><author><name sortKey="Cohen, Steven A" sort="Cohen, Steven A" uniqKey="Cohen S" first="Steven A." last="Cohen">Steven A. Cohen</name><affiliation><mods:affiliation>Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, </mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: scohen@jhsph.edu</mods:affiliation></affiliation></author><author><name sortKey="Naumova, Elena N" sort="Naumova, Elena N" uniqKey="Naumova E" first="Elena N." last="Naumova">Elena N. Naumova</name><affiliation><mods:affiliation>Department of Public Health and Family Medicine, Tufts University School of Medicine, Boston, Massachusetts, </mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: Elena.Naumova@tufts.edu</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:CE7C55DAF832833658EC16875815DE07B89FCA03</idno><date when="2007" year="2007">2007</date><idno type="doi">10.1007/978-3-540-72608-1_5</idno><idno type="url">https://api.istex.fr/ark:/67375/HCB-1S624WC4-7/fulltext.pdf</idno><idno type="wicri:Area/Istex/Corpus">000527</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000527</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Population Dynamics in the Elderly: The Need for Age-Adjustment in National BioSurveillance Systems</title><author><name sortKey="Cohen, Steven A" sort="Cohen, Steven A" uniqKey="Cohen S" first="Steven A." last="Cohen">Steven A. Cohen</name><affiliation><mods:affiliation>Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, </mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: scohen@jhsph.edu</mods:affiliation></affiliation></author><author><name sortKey="Naumova, Elena N" sort="Naumova, Elena N" uniqKey="Naumova E" first="Elena N." last="Naumova">Elena N. Naumova</name><affiliation><mods:affiliation>Department of Public Health and Family Medicine, Tufts University School of Medicine, Boston, Massachusetts, </mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: Elena.Naumova@tufts.edu</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s" type="main" xml:lang="en">Lecture Notes in Computer Science</title><title level="s" type="abbrev">LNCS</title><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: With the growing threat of pandemic influenza, efforts to improve national surveillance to better predict and prevent this disease from affecting the most vulnerable populations are being undertaken. This paper examines the utility of Medicare data to obtain age-specific influenza hospitalization rates for historical analyses. We present a novel approach to describing and analyzing age-specific patterns of hospitalizations using Medicare data and show the implications of a dynamic population age distribution on hospitalization rates. We use these techniques to highlight the utility of implementing a real-time nationwide surveillance system for influenza cases and vaccination, and discuss opportunities to improve the existing system to inform policy and reduce the burden of influenza nationwide.</div></front></TEI><istex><corpusName>springer-ebooks</corpusName><author><json:item><name>Steven A. Cohen</name><affiliations><json:string>Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland,</json:string><json:string>E-mail: scohen@jhsph.edu</json:string></affiliations></json:item><json:item><name>Elena N. Naumova</name><affiliations><json:string>Department of Public Health and Family Medicine, Tufts University School of Medicine, Boston, Massachusetts,</json:string><json:string>E-mail: Elena.Naumova@tufts.edu</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>real-time surveillance</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>influenza</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>age-adjustment</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>elderly</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Medicare</value></json:item></subject><arkIstex>ark:/67375/HCB-1S624WC4-7</arkIstex><language><json:string>eng</json:string></language><originalGenre><json:string>proceedings</json:string></originalGenre><abstract>Abstract: With the growing threat of pandemic influenza, efforts to improve national surveillance to better predict and prevent this disease from affecting the most vulnerable populations are being undertaken. This paper examines the utility of Medicare data to obtain age-specific influenza hospitalization rates for historical analyses. We present a novel approach to describing and analyzing age-specific patterns of hospitalizations using Medicare data and show the implications of a dynamic population age distribution on hospitalization rates. We use these techniques to highlight the utility of implementing a real-time nationwide surveillance system for influenza cases and vaccination, and discuss opportunities to improve the existing system to inform policy and reduce the burden of influenza nationwide.</abstract><qualityIndicators><refBibsNative>false</refBibsNative><abstractWordCount>113</abstractWordCount><abstractCharCount>815</abstractCharCount><keywordCount>5</keywordCount><score>7.158</score><pdfWordCount>3802</pdfWordCount><pdfCharCount>25306</pdfCharCount><pdfVersion>1.3</pdfVersion><pdfPageCount>12</pdfPageCount><pdfPageSize>430 x 660 pts</pdfPageSize></qualityIndicators><title>Population Dynamics in the Elderly: The Need for Age-Adjustment in National BioSurveillance Systems</title><chapterId><json:string>5</json:string><json:string>Chap5</json:string></chapterId><genre><json:string>conference</json:string></genre><serie><title>Lecture Notes in Computer Science</title><language><json:string>unknown</json:string></language><copyrightDate>2007</copyrightDate><issn><json:string>0302-9743</json:string></issn><eissn><json:string>1611-3349</json:string></eissn><volume>I</volume><editor><json:item><name>David Hutchison</name></json:item><json:item><name>Takeo Kanade</name></json:item><json:item><name>Josef Kittler</name></json:item><json:item><name>Jon M. Kleinberg</name></json:item><json:item><name>Friedemann Mattern</name></json:item><json:item><name>John C. Mitchell</name></json:item><json:item><name>Moni Naor</name></json:item><json:item><name>Oscar Nierstrasz</name></json:item><json:item><name>C. Pandu Rangan</name></json:item><json:item><name>Bernhard Steffen</name></json:item><json:item><name>Madhu Sudan</name></json:item><json:item><name>Demetri Terzopoulos</name></json:item><json:item><name>Doug Tygar</name></json:item><json:item><name>Moshe Y. Vardi</name></json:item><json:item><name>Gerhard Weikum</name></json:item></editor></serie><host><title>Intelligence and Security Informatics: Biosurveillance</title><language><json:string>unknown</json:string></language><copyrightDate>2007</copyrightDate><doi><json:string>10.1007/978-3-540-72608-1</json:string></doi><issn><json:string>0302-9743</json:string></issn><eissn><json:string>1611-3349</json:string></eissn><eisbn><json:string>978-3-540-72608-1</json:string></eisbn><bookId><json:string>978-3-540-72608-1</json:string></bookId><isbn><json:string>978-3-540-72607-4</json:string></isbn><volume>4506</volume><pages><first>47</first><last>58</last></pages><genre><json:string>book-series</json:string></genre><editor><json:item><name>Daniel Zeng</name></json:item><json:item><name>Ivan Gotham</name></json:item><json:item><name>Ken Komatsu</name></json:item><json:item><name>Cecil Lynch</name></json:item><json:item><name>Mark Thurmond</name></json:item><json:item><name>David Madigan</name></json:item><json:item><name>Bill Lober</name></json:item><json:item><name>James Kvach</name></json:item><json:item><name>Hsinchun Chen</name></json:item></editor><subject><json:item><value>Computer Science</value></json:item><json:item><value>Computer Science</value></json:item><json:item><value>Information Systems Applications (incl.Internet)</value></json:item><json:item><value>Data Mining and Knowledge Discovery</value></json:item><json:item><value>Computer Communication Networks</value></json:item><json:item><value>Computational Biology/Bioinformatics</value></json:item><json:item><value>Computers and Society</value></json:item><json:item><value>Management of Computing and Information Systems</value></json:item></subject></host><ark><json:string>ark:/67375/HCB-1S624WC4-7</json:string></ark><publicationDate>2007</publicationDate><copyrightDate>2007</copyrightDate><doi><json:string>10.1007/978-3-540-72608-1_5</json:string></doi><id>CE7C55DAF832833658EC16875815DE07B89FCA03</id><score>1</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/ark:/67375/HCB-1S624WC4-7/fulltext.pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/ark:/67375/HCB-1S624WC4-7/bundle.zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/ark:/67375/HCB-1S624WC4-7/fulltext.tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">Population Dynamics in the Elderly: The Need for Age-Adjustment in National BioSurveillance Systems</title></titleStmt><publicationStmt><authority>ISTEX</authority><availability><licence>Springer Berlin Heidelberg</licence></availability><date when="2007">2007</date></publicationStmt><notesStmt><note type="conference" source="proceedings" scheme="https://content-type.data.istex.fr/ark:/67375/XTP-BFHXPBJJ-3">conference</note><note type="publication-type" subtype="book-series" scheme="https://publication-type.data.istex.fr/ark:/67375/JMC-0G6R5W5T-Z">book-series</note></notesStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Population Dynamics in the Elderly: The Need for Age-Adjustment in National BioSurveillance Systems</title><author><persName><forename type="first">Steven</forename><forename type="first">A.</forename><surname>Cohen</surname></persName><email>scohen@jhsph.edu</email><affiliation><orgName type="institution">Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland</orgName><address><country key=""></country></address></affiliation></author><author><persName><forename type="first">Elena</forename><forename type="first">N.</forename><surname>Naumova</surname></persName><email>Elena.Naumova@tufts.edu</email><affiliation><orgName type="institution">Department of Public Health and Family Medicine, Tufts University School of Medicine, Boston, Massachusetts</orgName><address><country key=""></country></address></affiliation></author><idno type="istex">CE7C55DAF832833658EC16875815DE07B89FCA03</idno><idno type="ark">ark:/67375/HCB-1S624WC4-7</idno><idno type="DOI">10.1007/978-3-540-72608-1_5</idno></analytic><monogr><title level="m" type="main">Intelligence and Security Informatics: Biosurveillance</title><title level="m" type="sub">Second NSF Workshop, BioSurveillance 2007, New Brunswick, NJ, USA, May 22, 2007. Proceedings</title><title level="m" type="part">Long Papers</title><idno type="DOI">10.1007/978-3-540-72608-1</idno><idno type="book-id">978-3-540-72608-1</idno><idno type="ISBN">978-3-540-72607-4</idno><idno type="eISBN">978-3-540-72608-1</idno><idno type="chapter-id">Chap5</idno><idno type="part-id">Part1</idno><editor><persName><forename type="first">Daniel</forename><surname>Zeng</surname></persName><email>zeng@eller.arizona.edu</email></editor><editor><persName><forename type="first">Ivan</forename><surname>Gotham</surname></persName><email>ijg01@health.state.ny.us</email></editor><editor><persName><forename type="first">Ken</forename><surname>Komatsu</surname></persName><email>komatsk@azdhs.gov</email></editor><editor><persName><forename type="first">Cecil</forename><surname>Lynch</surname></persName><email>colynch@ucdavis.edu</email></editor><editor><persName><forename type="first">Mark</forename><surname>Thurmond</surname></persName><email>mcthurmond@usdavis.edu</email></editor><editor><persName><forename type="first">David</forename><surname>Madigan</surname></persName><email>dmadigan@rci.rutgers.edu</email></editor><editor><persName><forename type="first">Bill</forename><surname>Lober</surname></persName><email>lober@u.washington.edu</email></editor><editor><persName><forename type="first">James</forename><surname>Kvach</surname></persName><email>jandk30@aol.com</email></editor><editor><persName><forename type="first">Hsinchun</forename><surname>Chen</surname></persName><email>hchen@eller.arizona.edu</email></editor><imprint><biblScope unit="vol">4506</biblScope><biblScope unit="page" from="47">47</biblScope><biblScope unit="page" to="58">58</biblScope><biblScope unit="chapter-count">25</biblScope><biblScope unit="part-chapter-count">17</biblScope></imprint></monogr><series><title level="s" type="main" xml:lang="en">Lecture Notes in Computer Science</title><title level="s" type="abbrev">LNCS</title><editor><persName><forename type="first">David</forename><surname>Hutchison</surname></persName></editor><editor><persName><forename type="first">Takeo</forename><surname>Kanade</surname></persName></editor><editor><persName><forename type="first">Josef</forename><surname>Kittler</surname></persName></editor><editor><persName><forename type="first">Jon</forename><forename type="first">M.</forename><surname>Kleinberg</surname></persName></editor><editor><persName><forename type="first">Friedemann</forename><surname>Mattern</surname></persName></editor><editor><persName><forename type="first">John</forename><forename type="first">C.</forename><surname>Mitchell</surname></persName></editor><editor><persName><forename type="first">Moni</forename><surname>Naor</surname></persName></editor><editor><persName><forename type="first">Oscar</forename><surname>Nierstrasz</surname></persName></editor><editor><persName><forename type="first">C.</forename><forename type="first">Pandu</forename><surname>Rangan</surname></persName></editor><editor><persName><forename type="first">Bernhard</forename><surname>Steffen</surname></persName></editor><editor><persName><forename type="first">Madhu</forename><surname>Sudan</surname></persName></editor><editor><persName><forename type="first">Demetri</forename><surname>Terzopoulos</surname></persName></editor><editor><persName><forename type="first">Doug</forename><surname>Tygar</surname></persName></editor><editor><persName><forename type="first">Moshe</forename><forename type="first">Y.</forename><surname>Vardi</surname></persName></editor><editor><persName><forename type="first">Gerhard</forename><surname>Weikum</surname></persName></editor><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="seriesID">558</idno></series></biblStruct></sourceDesc></fileDesc><profileDesc><abstract xml:lang="en"><head>Abstract</head><p>With the growing threat of pandemic influenza, efforts to improve national surveillance to better predict and prevent this disease from affecting the most vulnerable populations are being undertaken. This paper examines the utility of Medicare data to obtain age-specific influenza hospitalization rates for historical analyses. We present a novel approach to describing and analyzing age-specific patterns of hospitalizations using Medicare data and show the implications of a dynamic population age distribution on hospitalization rates. We use these techniques to highlight the utility of implementing a real-time nationwide surveillance system for influenza cases and vaccination, and discuss opportunities to improve the existing system to inform policy and reduce the burden of influenza nationwide.</p></abstract><textClass ana="keyword"><keywords xml:lang="en"><term>real-time surveillance</term><term>influenza</term><term>age-adjustment</term><term> elderly</term><term>Medicare</term></keywords></textClass><textClass ana="subject"><keywords scheme="book-subject-collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass ana="subject"><keywords scheme="book-subject"><list><label>I</label><item><term type="Primary">Computer Science</term></item><label>I18040</label><item><term type="Secondary" subtype="priority-1">Information Systems Applications (incl.Internet)</term></item><label>I18030</label><item><term type="Secondary" subtype="priority-2">Data Mining and Knowledge Discovery</term></item><label>I13022</label><item><term type="Secondary" subtype="priority-3">Computer Communication Networks</term></item><label>I23050</label><item><term type="Secondary" subtype="priority-4">Computational Biology/Bioinformatics</term></item><label>I24040</label><item><term type="Secondary" subtype="priority-5">Computers and Society</term></item><label>I24067</label><item><term type="Secondary" subtype="priority-6">Management of Computing and Information Systems</term></item></list></keywords></textClass><langUsage><language ident="EN"></language></langUsage></profileDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/ark:/67375/HCB-1S624WC4-7/fulltext.txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="corpus springer-ebooks not found" wicri:toSee="no header"><istex:xmlDeclaration>version="1.0" encoding="UTF-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//Springer-Verlag//DTD A++ V2.4//EN" URI="http://devel.springer.de/A++/V2.4/DTD/A++V2.4.dtd" name="istex:docType"></istex:docType><istex:document><Publisher><PublisherInfo><PublisherName>Springer Berlin Heidelberg</PublisherName><PublisherLocation>Berlin, Heidelberg</PublisherLocation></PublisherInfo><Series><SeriesInfo SeriesType="Series" TocLevels="0"><SeriesID>558</SeriesID><SeriesPrintISSN>0302-9743</SeriesPrintISSN><SeriesElectronicISSN>1611-3349</SeriesElectronicISSN><SeriesTitle Language="En">Lecture Notes in Computer Science</SeriesTitle><SeriesAbbreviatedTitle>LNCS</SeriesAbbreviatedTitle></SeriesInfo><SeriesHeader><EditorGroup><Editor><EditorName DisplayOrder="Western"><GivenName>David</GivenName><FamilyName>Hutchison</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Takeo</GivenName><FamilyName>Kanade</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Josef</GivenName><FamilyName>Kittler</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Jon</GivenName><GivenName>M.</GivenName><FamilyName>Kleinberg</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Friedemann</GivenName><FamilyName>Mattern</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>John</GivenName><GivenName>C.</GivenName><FamilyName>Mitchell</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Moni</GivenName><FamilyName>Naor</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Oscar</GivenName><FamilyName>Nierstrasz</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>C.</GivenName><GivenName>Pandu</GivenName><FamilyName>Rangan</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Bernhard</GivenName><FamilyName>Steffen</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Madhu</GivenName><FamilyName>Sudan</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Demetri</GivenName><FamilyName>Terzopoulos</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Doug</GivenName><FamilyName>Tygar</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Moshe</GivenName><GivenName>Y.</GivenName><FamilyName>Vardi</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Gerhard</GivenName><FamilyName>Weikum</FamilyName></EditorName></Editor></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingStyle="Unnumbered" OutputMedium="All" TocLevels="0"><BookID>978-3-540-72608-1</BookID><BookTitle>Intelligence and Security Informatics: Biosurveillance</BookTitle><BookSubTitle>Second NSF Workshop, BioSurveillance 2007, New Brunswick, NJ, USA, May 22, 2007. Proceedings</BookSubTitle><BookVolumeNumber>4506</BookVolumeNumber><BookSequenceNumber>4506</BookSequenceNumber><BookDOI>10.1007/978-3-540-72608-1</BookDOI><BookTitleID>149903</BookTitleID><BookPrintISBN>978-3-540-72607-4</BookPrintISBN><BookElectronicISBN>978-3-540-72608-1</BookElectronicISBN><BookChapterCount>25</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2007</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I18040" Priority="1" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I18030" Priority="2" Type="Secondary">Data Mining and Knowledge Discovery</BookSubject><BookSubject Code="I13022" Priority="3" Type="Secondary">Computer Communication Networks</BookSubject><BookSubject Code="I23050" Priority="4" Type="Secondary">Computational Biology/Bioinformatics</BookSubject><BookSubject Code="I24040" Priority="5" Type="Secondary">Computers and Society</BookSubject><BookSubject Code="I24067" Priority="6" Type="Secondary">Management of Computing and Information Systems</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup></BookInfo><BookHeader><EditorGroup><Editor><EditorName DisplayOrder="Western"><GivenName>Daniel</GivenName><FamilyName>Zeng</FamilyName></EditorName><Contact><Email>zeng@eller.arizona.edu</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Ivan</GivenName><FamilyName>Gotham</FamilyName></EditorName><Contact><Email>ijg01@health.state.ny.us</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Ken</GivenName><FamilyName>Komatsu</FamilyName></EditorName><Contact><Email>komatsk@azdhs.gov</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Cecil</GivenName><FamilyName>Lynch</FamilyName></EditorName><Contact><Email>colynch@ucdavis.edu</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Mark</GivenName><FamilyName>Thurmond</FamilyName></EditorName><Contact><Email>mcthurmond@usdavis.edu</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>David</GivenName><FamilyName>Madigan</FamilyName></EditorName><Contact><Email>dmadigan@rci.rutgers.edu</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Bill</GivenName><FamilyName>Lober</FamilyName></EditorName><Contact><Email>lober@u.washington.edu</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>James</GivenName><FamilyName>Kvach</FamilyName></EditorName><Contact><Email>jandk30@aol.com</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Hsinchun</GivenName><FamilyName>Chen</FamilyName></EditorName><Contact><Email>hchen@eller.arizona.edu</Email></Contact></Editor></EditorGroup></BookHeader><Part ID="Part1"><PartInfo TocLevels="0"><PartID>1</PartID><PartNumber>I</PartNumber><PartSequenceNumber>1</PartSequenceNumber><PartTitle>Long Papers</PartTitle><PartChapterCount>17</PartChapterCount></PartInfo><SubPart ID="SubPart2"><SubPartInfo><SubPartID>2</SubPartID><SubPartSequenceNumber>2</SubPartSequenceNumber><SubPartTitle>Biosurveillance Models</SubPartTitle><SubPartChapterCount>2</SubPartChapterCount></SubPartInfo><Chapter ID="Chap5" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingStyle="Unnumbered" TocLevels="0"><ChapterID>5</ChapterID><ChapterDOI>10.1007/978-3-540-72608-1_5</ChapterDOI><ChapterSequenceNumber>5</ChapterSequenceNumber><ChapterTitle Language="En">Population Dynamics in the Elderly: The Need for Age-Adjustment in National BioSurveillance Systems</ChapterTitle><ChapterFirstPage>47</ChapterFirstPage><ChapterLastPage>58</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2007</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Steven</GivenName><GivenName>A.</GivenName><FamilyName>Cohen</FamilyName></AuthorName><Contact><Email>scohen@jhsph.edu</Email></Contact></Author><Author AffiliationIDS="Aff2"><AuthorName DisplayOrder="Western"><GivenName>Elena</GivenName><GivenName>N.</GivenName><FamilyName>Naumova</FamilyName></AuthorName><Contact><Email>Elena.Naumova@tufts.edu</Email></Contact></Author><Affiliation ID="Aff1"><OrgName>Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland</OrgName><OrgAddress><Country> </Country></OrgAddress></Affiliation><Affiliation ID="Aff2"><OrgName>Department of Public Health and Family Medicine, Tufts University School of Medicine, Boston, Massachusetts</OrgName><OrgAddress><Country> </Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>With the growing threat of pandemic influenza, efforts to improve national surveillance to better predict and prevent this disease from affecting the most vulnerable populations are being undertaken. This paper examines the utility of Medicare data to obtain age-specific influenza hospitalization rates for historical analyses. We present a novel approach to describing and analyzing age-specific patterns of hospitalizations using Medicare data and show the implications of a dynamic population age distribution on hospitalization rates. We use these techniques to highlight the utility of implementing a real-time nationwide surveillance system for influenza cases and vaccination, and discuss opportunities to improve the existing system to inform policy and reduce the burden of influenza nationwide.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>real-time surveillance</Keyword><Keyword>influenza</Keyword><Keyword>age-adjustment</Keyword><Keyword> elderly</Keyword><Keyword>Medicare</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></SubPart></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Population Dynamics in the Elderly: The Need for Age-Adjustment in National BioSurveillance Systems</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Population Dynamics in the Elderly: The Need for Age-Adjustment in National BioSurveillance Systems</title></titleInfo><name type="personal"><namePart type="given">Steven</namePart><namePart type="given">A.</namePart><namePart type="family">Cohen</namePart><affiliation>Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, </affiliation><affiliation>E-mail: scohen@jhsph.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Elena</namePart><namePart type="given">N.</namePart><namePart type="family">Naumova</namePart><affiliation>Department of Public Health and Family Medicine, Tufts University School of Medicine, Boston, Massachusetts, </affiliation><affiliation>E-mail: Elena.Naumova@tufts.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="proceedings" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-BFHXPBJJ-3"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2007</dateIssued><copyrightDate encoding="w3cdtf">2007</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><abstract lang="en">Abstract: With the growing threat of pandemic influenza, efforts to improve national surveillance to better predict and prevent this disease from affecting the most vulnerable populations are being undertaken. This paper examines the utility of Medicare data to obtain age-specific influenza hospitalization rates for historical analyses. We present a novel approach to describing and analyzing age-specific patterns of hospitalizations using Medicare data and show the implications of a dynamic population age distribution on hospitalization rates. We use these techniques to highlight the utility of implementing a real-time nationwide surveillance system for influenza cases and vaccination, and discuss opportunities to improve the existing system to inform policy and reduce the burden of influenza nationwide.</abstract><subject lang="en"><genre>Keywords</genre><topic>real-time surveillance</topic><topic>influenza</topic><topic>age-adjustment</topic><topic>elderly</topic><topic>Medicare</topic></subject><relatedItem type="host"><titleInfo><title>Intelligence and Security Informatics: Biosurveillance</title><subTitle>Second NSF Workshop, BioSurveillance 2007, New Brunswick, NJ, USA, May 22, 2007. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Daniel</namePart><namePart type="family">Zeng</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Ivan</namePart><namePart type="family">Gotham</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Ken</namePart><namePart type="family">Komatsu</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Cecil</namePart><namePart type="family">Lynch</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Mark</namePart><namePart type="family">Thurmond</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">David</namePart><namePart type="family">Madigan</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Bill</namePart><namePart type="family">Lober</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">James</namePart><namePart type="family">Kvach</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Hsinchun</namePart><namePart type="family">Chen</namePart><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" authority="ISTEX" authorityURI="https://publication-type.data.istex.fr" valueURI="https://publication-type.data.istex.fr/ark:/67375/JMC-0G6R5W5T-Z">book-series</genre><originInfo><publisher>Springer</publisher><copyrightDate encoding="w3cdtf">2007</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book-Subject-Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book-Subject-Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I18040">Information Systems Applications (incl.Internet)</topic><topic authority="SpringerSubjectCodes" authorityURI="I18030">Data Mining and Knowledge Discovery</topic><topic authority="SpringerSubjectCodes" authorityURI="I13022">Computer Communication Networks</topic><topic authority="SpringerSubjectCodes" authorityURI="I23050">Computational Biology/Bioinformatics</topic><topic authority="SpringerSubjectCodes" authorityURI="I24040">Computers and Society</topic><topic authority="SpringerSubjectCodes" authorityURI="I24067">Management of Computing and Information Systems</topic></subject><identifier type="DOI">10.1007/978-3-540-72608-1</identifier><identifier type="ISBN">978-3-540-72607-4</identifier><identifier type="eISBN">978-3-540-72608-1</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">149903</identifier><identifier type="BookID">978-3-540-72608-1</identifier><identifier type="BookChapterCount">25</identifier><identifier type="BookVolumeNumber">4506</identifier><identifier type="BookSequenceNumber">4506</identifier><identifier type="PartChapterCount">17</identifier><part><date>2007</date><detail type="part"><title>I: Long Papers</title></detail><detail type="volume"><number>4506</number><caption>vol.</caption></detail><extent unit="pages"><start>47</start><end>58</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2007</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">David</namePart><namePart type="family">Hutchison</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Takeo</namePart><namePart type="family">Kanade</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Josef</namePart><namePart type="family">Kittler</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moni</namePart><namePart type="family">Naor</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Oscar</namePart><namePart type="family">Nierstrasz</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">C.</namePart><namePart type="given">Pandu</namePart><namePart type="family">Rangan</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Bernhard</namePart><namePart type="family">Steffen</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Madhu</namePart><namePart type="family">Sudan</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Demetri</namePart><namePart type="family">Terzopoulos</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Doug</namePart><namePart type="family">Tygar</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moshe</namePart><namePart type="given">Y.</namePart><namePart type="family">Vardi</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Weikum</namePart><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><publisher>Springer</publisher><copyrightDate encoding="w3cdtf">2007</copyrightDate><issuance>serial</issuance></originInfo><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SeriesID">558</identifier><part><detail type="volume"><number>I</number><caption>vol.</caption></detail></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2007</recordOrigin></recordInfo></relatedItem><identifier type="istex">CE7C55DAF832833658EC16875815DE07B89FCA03</identifier><identifier type="ark">ark:/67375/HCB-1S624WC4-7</identifier><identifier type="DOI">10.1007/978-3-540-72608-1_5</identifier><identifier type="ChapterID">5</identifier><identifier type="ChapterID">Chap5</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag Berlin Heidelberg, 2007</accessCondition><recordInfo><recordContentSource authority="ISTEX" authorityURI="https://loaded-corpus.data.istex.fr" valueURI="https://loaded-corpus.data.istex.fr/ark:/67375/XBH-RLRX46XW-4">springer</recordContentSource><recordOrigin>Springer Berlin Heidelberg, 2007</recordOrigin></recordInfo></mods><json:item><extension>json</extension><original>false</original><mimetype>application/json</mimetype><uri>https://api.istex.fr/ark:/67375/HCB-1S624WC4-7/record.json</uri></json:item></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/PandemieGrippaleV1/Data/Istex/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000527 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Corpus/biblio.hfd -nk 000527 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= PandemieGrippaleV1
|flux= Istex
|étape= Corpus
|type= RBID
|clé= ISTEX:CE7C55DAF832833658EC16875815DE07B89FCA03
|texte= Population Dynamics in the Elderly: The Need for Age-Adjustment in National BioSurveillance Systems
}}
| This area was generated with Dilib version V0.6.34. |  |