Age- and sex-specific mortality associated with the 1918-1919 influenza pandemic in Kentucky.
Identifieur interne : 000B40 ( PubMed/Curation ); précédent : 000B39; suivant : 000B41Age- and sex-specific mortality associated with the 1918-1919 influenza pandemic in Kentucky.
Auteurs : Cécile Viboud [États-Unis] ; Jana Eisenstein ; Ann H. Reid ; Thomas A. Janczewski ; David M. Morens ; Jeffery K. TaubenbergerSource :
- The Journal of infectious diseases [ 1537-6613 ] ; 2013.
Descripteurs français
- KwdFr :
- MESH :
- mortalité : Grippe humaine.
- épidémiologie : Kentucky.
- Adolescent, Adulte, Adulte d'âge moyen, Analyse de survie, Enfant, Enfant d'âge préscolaire, Facteurs de l'âge, Facteurs sexuels, Femelle, Humains, Jeune adulte, Mâle, Nourrisson, Nouveau-né, Pandémies, Sujet âgé, Sujet âgé de 80 ans ou plus.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : Kentucky.
- mortality : Influenza, Human.
- Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Child, Child, Preschool, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Pandemics, Sex Factors, Survival Analysis, Young Adult.
Abstract
The reasons for the unusual age-specific mortality patterns of the 1918-1919 influenza pandemic remain unknown. Here we characterize pandemic-related mortality by single year of age in a unique statewide Kentucky data set and explore breakpoints in the age curves.
DOI: 10.1093/infdis/jis745
PubMed: 23230061
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Reid</name></author><author><name sortKey="Janczewski, Thomas A" sort="Janczewski, Thomas A" uniqKey="Janczewski T" first="Thomas A" last="Janczewski">Thomas A. Janczewski</name></author><author><name sortKey="Morens, David M" sort="Morens, David M" uniqKey="Morens D" first="David M" last="Morens">David M. Morens</name></author><author><name sortKey="Taubenberger, Jeffery K" sort="Taubenberger, Jeffery K" uniqKey="Taubenberger J" first="Jeffery K" last="Taubenberger">Jeffery K. 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Reid</name></author><author><name sortKey="Janczewski, Thomas A" sort="Janczewski, Thomas A" uniqKey="Janczewski T" first="Thomas A" last="Janczewski">Thomas A. Janczewski</name></author><author><name sortKey="Morens, David M" sort="Morens, David M" uniqKey="Morens D" first="David M" last="Morens">David M. Morens</name></author><author><name sortKey="Taubenberger, Jeffery K" sort="Taubenberger, Jeffery K" uniqKey="Taubenberger J" first="Jeffery K" last="Taubenberger">Jeffery K. Taubenberger</name></author></analytic><series><title level="j">The Journal of infectious diseases</title><idno type="eISSN">1537-6613</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Age Factors</term><term>Aged</term><term>Aged, 80 and over</term><term>Child</term><term>Child, Preschool</term><term>Female</term><term>Humans</term><term>Infant</term><term>Infant, Newborn</term><term>Influenza, Human (mortality)</term><term>Kentucky (epidemiology)</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Sex Factors</term><term>Survival Analysis</term><term>Young Adult</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Analyse de survie</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Facteurs de l'âge</term><term>Facteurs sexuels</term><term>Femelle</term><term>Grippe humaine (mortalité)</term><term>Humains</term><term>Jeune adulte</term><term>Kentucky (épidémiologie)</term><term>Mâle</term><term>Nourrisson</term><term>Nouveau-né</term><term>Pandémies</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Kentucky</term></keywords><keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="mortalité" xml:lang="fr"><term>Grippe humaine</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Kentucky</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Age Factors</term><term>Aged</term><term>Aged, 80 and over</term><term>Child</term><term>Child, Preschool</term><term>Female</term><term>Humans</term><term>Infant</term><term>Infant, Newborn</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Sex Factors</term><term>Survival Analysis</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Analyse de survie</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Facteurs de l'âge</term><term>Facteurs sexuels</term><term>Femelle</term><term>Humains</term><term>Jeune adulte</term><term>Mâle</term><term>Nourrisson</term><term>Nouveau-né</term><term>Pandémies</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The reasons for the unusual age-specific mortality patterns of the 1918-1919 influenza pandemic remain unknown. Here we characterize pandemic-related mortality by single year of age in a unique statewide Kentucky data set and explore breakpoints in the age curves.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23230061</PMID><DateCompleted><Year>2013</Year><Month>04</Month><Day>04</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1537-6613</ISSN><JournalIssue CitedMedium="Internet"><Volume>207</Volume><Issue>5</Issue><PubDate><Year>2013</Year><Month>Mar</Month><Day>01</Day></PubDate></JournalIssue><Title>The Journal of infectious diseases</Title><ISOAbbreviation>J. Infect. Dis.</ISOAbbreviation></Journal><ArticleTitle>Age- and sex-specific mortality associated with the 1918-1919 influenza pandemic in Kentucky.</ArticleTitle><Pagination><MedlinePgn>721-9</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1093/infdis/jis745</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The reasons for the unusual age-specific mortality patterns of the 1918-1919 influenza pandemic remain unknown. Here we characterize pandemic-related mortality by single year of age in a unique statewide Kentucky data set and explore breakpoints in the age curves.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Individual death certificates from Kentucky during 1911-1919 were abstracted by medically trained personnel. Pandemic-associated excess mortality rates were calculated by subtracting observed rates during pandemic months from rates in previous years, separately for each single year of age and by sex.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">The age profile of excess mortality risk in fall 1918 was characterized by a maximum among infants, a minimum at ages 9-10 years, a maximum at ages 24-26 years, and a second minimum at ages 56-59 years. The excess mortality risk in young adults had been greatly attenuated by winter 1919. The age breakpoints of mortality risk did not differ between males and females.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The observed mortality breakpoints in male and female cohorts born during 1859-1862, 1892-1894, and 1908-1909 did not coincide with known dates of historical pandemics. The atypical age mortality patterns of the 1918-1919 pandemic cannot be explained by military crowding, war-related factors, or prior immunity alone and likely result from a combination of unknown factors.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Viboud</LastName><ForeName>Cécile</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Eisenstein</LastName><ForeName>Jana</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Reid</LastName><ForeName>Ann H</ForeName><Initials>AH</Initials></Author><Author ValidYN="Y"><LastName>Janczewski</LastName><ForeName>Thomas A</ForeName><Initials>TA</Initials></Author><Author ValidYN="Y"><LastName>Morens</LastName><ForeName>David M</ForeName><Initials>DM</Initials></Author><Author ValidYN="Y"><LastName>Taubenberger</LastName><ForeName>Jeffery K</ForeName><Initials>JK</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2012</Year><Month>12</Month><Day>10</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Infect Dis</MedlineTA><NlmUniqueID>0413675</NlmUniqueID><ISSNLinking>0022-1899</ISSNLinking></MedlineJournalInfo><CitationSubset>AIM</CitationSubset><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="CommentIn"><RefSource>J Infect Dis. 2014 Sep 15;210(6):993-5</RefSource><PMID Version="1">24676203</PMID></CommentsCorrections><CommentsCorrections RefType="CommentIn"><RefSource>J Infect Dis. 2014 Sep 15;210(6):995-7</RefSource><PMID Version="1">24676205</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007223" MajorTopicYN="N">Infant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007231" MajorTopicYN="N">Infant, Newborn</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000401" MajorTopicYN="Y">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007629" MajorTopicYN="N" Type="Geographic">Kentucky</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" 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