Age-Specific Excess Mortality Patterns During the 1918-1920 Influenza Pandemic in Madrid, Spain.
Identifieur interne : 000080 ( Main/Exploration ); précédent : 000079; suivant : 000081Age-Specific Excess Mortality Patterns During the 1918-1920 Influenza Pandemic in Madrid, Spain.
Auteurs : Laura Cilek [Espagne] ; Gerardo Chowell [Géorgie (pays), États-Unis] ; Diego Ramiro Fari As [Espagne]Source :
- American journal of epidemiology [ 1476-6256 ] ; 2018.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Cadhérines (MeSH), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Espagne (épidémiologie), Femelle (MeSH), Grippe humaine (histoire), Grippe humaine (immunologie), Grippe humaine (mortalité), Grippe humaine (épidémiologie), Histoire du 20ème siècle (MeSH), Humains (MeSH), Jeune adulte (MeSH), Mâle (MeSH), Pandémie de grippe de 1918-1919 (histoire), Pandémie de grippe de 1918-1919 (mortalité), Protéines de Drosophila (MeSH), Récepteurs à activité tyrosine kinase (MeSH), Répartition par âge (MeSH), Sujet âgé (MeSH).
- MESH :
- histoire : Grippe humaine, Pandémie de grippe de 1918-1919.
- immunologie : Grippe humaine.
- mortalité : Grippe humaine, Pandémie de grippe de 1918-1919.
- épidémiologie : Espagne, Grippe humaine.
- Adolescent, Adulte, Adulte d'âge moyen, Cadhérines, Enfant, Enfant d'âge préscolaire, Femelle, Histoire du 20ème siècle, Humains, Jeune adulte, Mâle, Protéines de Drosophila, Récepteurs à activité tyrosine kinase, Répartition par âge, Sujet âgé.
- Wicri :
- geographic : Espagne.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Age Distribution (MeSH), Aged (MeSH), Cadherins (MeSH), Child (MeSH), Child, Preschool (MeSH), Drosophila Proteins (MeSH), Female (MeSH), History, 20th Century (MeSH), Humans (MeSH), Influenza Pandemic, 1918-1919 (history), Influenza Pandemic, 1918-1919 (mortality), Influenza, Human (epidemiology), Influenza, Human (history), Influenza, Human (immunology), Influenza, Human (mortality), Male (MeSH), Middle Aged (MeSH), Receptor Protein-Tyrosine Kinases (MeSH), Spain (epidemiology), Young Adult (MeSH).
- MESH :
- chemical : Cadherins, Drosophila Proteins, Receptor Protein-Tyrosine Kinases.
- geographic , epidemiology : Spain.
- epidemiology : Influenza, Human.
- history : Influenza Pandemic, 1918-1919, Influenza, Human.
- immunology : Influenza, Human.
- mortality : Influenza Pandemic, 1918-1919, Influenza, Human.
- Adolescent, Adult, Age Distribution, Aged, Child, Child, Preschool, Female, History, 20th Century, Humans, Male, Middle Aged, Young Adult.
Abstract
Although much progress has been made to uncover age-specific mortality patterns of the 1918 influenza pandemic in populations around the world, more studies in different populations are needed to make sense of the heterogeneous death impact of this pandemic. We assessed the absolute and relative magnitudes of 3 pandemic waves in the city of Madrid, Spain, between 1918 and 1920, on the basis of age-specific all-cause and respiratory excess death rates. Excess death rates were estimated using a Serfling model with a parametric bootstrapping approach to calibrate baseline death levels with quantified uncertainty. Excess all-cause and pneumonia and influenza mortality rates were estimated for different pandemic waves and age groups. The youngest and oldest persons experienced the highest excess mortality rates, and young adults faced the highest standardized mortality risk. Waves differed in strength; the peak standardized mortality risk occurred during the herald wave in spring 1918, but the highest excess rates occurred during the fall and winter of 1918/1919. Little evidence was found to support a "W"-shaped, age-specific excess mortality curve. Acquired immunity may have tempered a protracted fall wave, but recrudescent waves following the initial 2 outbreaks heightened the total pandemic mortality impact.
DOI: 10.1093/aje/kwy171
PubMed: 30124746
PubMed Central: PMC6454514
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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xml:lang="fr"><term>Espagne</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Although much progress has been made to uncover age-specific mortality patterns of the 1918 influenza pandemic in populations around the world, more studies in different populations are needed to make sense of the heterogeneous death impact of this pandemic. We assessed the absolute and relative magnitudes of 3 pandemic waves in the city of Madrid, Spain, between 1918 and 1920, on the basis of age-specific all-cause and respiratory excess death rates. Excess death rates were estimated using a Serfling model with a parametric bootstrapping approach to calibrate baseline death levels with quantified uncertainty. Excess all-cause and pneumonia and influenza mortality rates were estimated for different pandemic waves and age groups. The youngest and oldest persons experienced the highest excess mortality rates, and young adults faced the highest standardized mortality risk. Waves differed in strength; the peak standardized mortality risk occurred during the herald wave in spring 1918, but the highest excess rates occurred during the fall and winter of 1918/1919. Little evidence was found to support a "W"-shaped, age-specific excess mortality curve. Acquired immunity may have tempered a protracted fall wave, but recrudescent waves following the initial 2 outbreaks heightened the total pandemic mortality impact.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">30124746</PMID><DateCompleted><Year>2019</Year><Month>09</Month><Day>16</Day></DateCompleted><DateRevised><Year>2020</Year><Month>03</Month><Day>09</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1476-6256</ISSN><JournalIssue CitedMedium="Internet"><Volume>187</Volume><Issue>12</Issue><PubDate><Year>2018</Year><Month>12</Month><Day>01</Day></PubDate></JournalIssue><Title>American journal of epidemiology</Title><ISOAbbreviation>Am. J. Epidemiol.</ISOAbbreviation></Journal><ArticleTitle>Age-Specific Excess Mortality Patterns During the 1918-1920 Influenza Pandemic in Madrid, Spain.</ArticleTitle><Pagination><MedlinePgn>2511-2523</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1093/aje/kwy171</ELocationID><Abstract><AbstractText>Although much progress has been made to uncover age-specific mortality patterns of the 1918 influenza pandemic in populations around the world, more studies in different populations are needed to make sense of the heterogeneous death impact of this pandemic. We assessed the absolute and relative magnitudes of 3 pandemic waves in the city of Madrid, Spain, between 1918 and 1920, on the basis of age-specific all-cause and respiratory excess death rates. Excess death rates were estimated using a Serfling model with a parametric bootstrapping approach to calibrate baseline death levels with quantified uncertainty. Excess all-cause and pneumonia and influenza mortality rates were estimated for different pandemic waves and age groups. The youngest and oldest persons experienced the highest excess mortality rates, and young adults faced the highest standardized mortality risk. Waves differed in strength; the peak standardized mortality risk occurred during the herald wave in spring 1918, but the highest excess rates occurred during the fall and winter of 1918/1919. Little evidence was found to support a "W"-shaped, age-specific excess mortality curve. Acquired immunity may have tempered a protracted fall wave, but recrudescent waves following the initial 2 outbreaks heightened the total pandemic mortality impact.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Cilek</LastName><ForeName>Laura</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Institute of Economy, Geography and Demography, Center for Humanities and Social Sciences Spanish National Research Council, Madrid, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chowell</LastName><ForeName>Gerardo</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>School of Public Health, Division of Epidemiology & Biostatistics, Georgia State University, Atlanta, Georgia.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ramiro Fariñas</LastName><ForeName>Diego</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Institute of Economy, Geography and Demography, Center for Humanities and Social Sciences Spanish National Research Council, Madrid, Spain.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016456">Historical Article</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Am J Epidemiol</MedlineTA><NlmUniqueID>7910653</NlmUniqueID><ISSNLinking>0002-9262</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D015820">Cadherins</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D029721">Drosophila Proteins</NameOfSubstance></Chemical><Chemical><RegistryNumber>EC 2.7.10.1</RegistryNumber><NameOfSubstance UI="C000593330">Cad96Ca protein, Drosophila</NameOfSubstance></Chemical><Chemical><RegistryNumber>EC 2.7.10.1</RegistryNumber><NameOfSubstance UI="D020794">Receptor Protein-Tyrosine Kinases</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017677" MajorTopicYN="N">Age Distribution</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015820" MajorTopicYN="N">Cadherins</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D029721" MajorTopicYN="N">Drosophila Proteins</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D049673" MajorTopicYN="N">History, 20th Century</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D064149" MajorTopicYN="N">Influenza Pandemic, 1918-1919</DescriptorName><QualifierName UI="Q000266" MajorTopicYN="Y">history</QualifierName><QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000266" MajorTopicYN="Y">history</QualifierName><QualifierName UI="Q000276" MajorTopicYN="N">immunology</QualifierName><QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D020794" MajorTopicYN="N">Receptor Protein-Tyrosine Kinases</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N" Type="Geographic">Spain</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate 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IdType="pubmed">12631986</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Espagne</li><li>Géorgie (pays)</li><li>États-Unis</li></country><region><li>Communauté de Madrid</li><li>Maryland</li></region><settlement><li>Madrid</li></settlement></list><tree><country name="Espagne"><region name="Communauté de Madrid"><name sortKey="Cilek, Laura" sort="Cilek, Laura" uniqKey="Cilek L" first="Laura" last="Cilek">Laura Cilek</name></region><name sortKey="Ramiro Fari As, Diego" sort="Ramiro Fari As, Diego" uniqKey="Ramiro Fari As D" first="Diego" last="Ramiro Fari As">Diego Ramiro Fari As</name></country><country name="Géorgie (pays)"><noRegion><name sortKey="Chowell, Gerardo" sort="Chowell, Gerardo" uniqKey="Chowell G" first="Gerardo" last="Chowell">Gerardo Chowell</name></noRegion></country><country name="États-Unis"><region name="Maryland"><name sortKey="Chowell, Gerardo" sort="Chowell, Gerardo" uniqKey="Chowell G" first="Gerardo" last="Chowell">Gerardo Chowell</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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