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Determinants of Influenza Mortality Trends: Age-Period-Cohort Analysis of Influenza Mortality in the United States, 1959-2016.
Acosta, Enrique; Hallman, Stacey A; Dillon, Lisa Y; Ouellette, Nadine; Bourbeau, Robert; Herring, D Ann; Inwood, Kris; Earn, David J D; Madrenas, Joaquin; Miller, Matthew S; Gagnon, Alain.
Afiliação
  • Acosta E; Département de Démographie, Université de Montréal, C.P. 6128, succursale Centre-ville, Montréal, QC, H3C 3J7, Canada.
  • Hallman SA; Max Planck Institute for Demographic Research, Rostock, Germany.
  • Dillon LY; Demography Division, Statistics Canada, Ottawa, Canada.
  • Ouellette N; Département de Démographie, Université de Montréal, C.P. 6128, succursale Centre-ville, Montréal, QC, H3C 3J7, Canada.
  • Bourbeau R; Département de Démographie, Université de Montréal, C.P. 6128, succursale Centre-ville, Montréal, QC, H3C 3J7, Canada.
  • Herring DA; Département de Démographie, Université de Montréal, C.P. 6128, succursale Centre-ville, Montréal, QC, H3C 3J7, Canada.
  • Inwood K; Department of Anthropology, McMaster University, Hamilton, Canada.
  • Earn DJD; Department of History, University of Guelph, Guelph, Canada.
  • Madrenas J; Department of Mathematics and Statistics, McMaster University, Hamilton, Canada.
  • Miller MS; Michael G. DeGroote Institute for Infectious Diseases Research, McMaster University, Hamilton, Canada.
  • Gagnon A; Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA, USA.
Demography ; 56(5): 1723-1746, 2019 10.
Article em En | MEDLINE | ID: mdl-31502229
ABSTRACT
This study examines the roles of age, period, and cohort in influenza mortality trends over the years 1959-2016 in the United States. First, we use Lexis surfaces based on Serfling models to highlight influenza mortality patterns as well as to identify lingering effects of early-life exposure to specific influenza virus subtypes (e.g., H1N1, H3N2). Second, we use age-period-cohort (APC) methods to explore APC linear trends and identify changes in the slope of these trends (contrasts). Our analyses reveal a series of breakpoints where the magnitude and direction of birth cohort trends significantly change, mostly corresponding to years in which important antigenic drifts or shifts took place (i.e., 1947, 1957, 1968, and 1978). Whereas child, youth, and adult influenza mortality appear to be influenced by a combination of cohort- and period-specific factors, reflecting the interaction between the antigenic experience of the population and the evolution of the influenza virus itself, mortality patterns of the elderly appear to be molded by broader cohort factors. The latter would reflect the processes of physiological capital improvement in successive birth cohorts through secular changes in early-life conditions. Antigenic imprinting, cohort morbidity phenotype, and other mechanisms that can generate the observed cohort effects, including the baby boom, are discussed.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Influenza Humana Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male País/Região como assunto: America do norte Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Influenza Humana Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male País/Região como assunto: America do norte Idioma: En Ano de publicação: 2019 Tipo de documento: Article