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Searching for Sharp Drops in the Incidence of Pandemic A/H1N1 Influenza by Single Year of Age

dc.contributor.authorJacobs, Jessica Hartman
dc.contributor.authorArcher, Brett Nicholas
dc.contributor.authorBaker, Michael G.
dc.contributor.authorCowling, Benjamin J.
dc.contributor.authorHeffernan, Richard T.
dc.contributor.authorMercer, Geoff
dc.contributor.authorUez, Osvaldo
dc.contributor.authorHanshaoworakul, Wanna
dc.contributor.authorViboud, Cécile
dc.contributor.authorSchwartz, Joel
dc.contributor.authorTchetgen Tchetgen, Eric
dc.contributor.authorLipsitch, Marc
dc.date.accessioned2015-11-24T06:05:13Z
dc.date.available2015-11-24T06:05:13Z
dc.date.issued2012-08-02
dc.date.updated2015-12-10T11:04:07Z
dc.description.abstractBACKGROUND During the 2009 H1N1 pandemic (pH1N1), morbidity and mortality sparing was observed among the elderly population; it was hypothesized that this age group benefited from immunity to pH1N1 due to cross-reactive antibodies generated from prior infection with antigenically similar influenza viruses. Evidence from serologic studies and genetic similarities between pH1N1 and historical influenza viruses suggest that the incidence of pH1N1 cases should drop markedly in age cohorts born prior to the disappearance of H1N1 in 1957, namely those at least 52-53 years old in 2009, but the precise range of ages affected has not been delineated. METHODS AND FINDINGS To test for any age-associated discontinuities in pH1N1 incidence, we aggregated laboratory-confirmed pH1N1 case data from 8 jurisdictions in 7 countries, stratified by single year of age, sex (when available), and hospitalization status. Using single year of age population denominators, we generated smoothed curves of the weighted risk ratio of pH1N1 incidence, and looked for sharp drops at varying age bandwidths, defined as a significantly negative second derivative. Analyses stratified by hospitalization status and sex were used to test alternative explanations for observed discontinuities. We found that the risk of laboratory-confirmed infection with pH1N1 declines with age, but that there was a statistically significant leveling off or increase in risk from about 45 to 50 years of age, after which a sharp drop in risk occurs until the late fifties. This trend was more pronounced in hospitalized cases and in women and was independent of the choice in smoothing parameters. The age range at which the decline in risk accelerates corresponds to the cohort born between 1951-1959 (hospitalized) and 1953-1960 (not hospitalized). CONCLUSIONS The reduced incidence of pH1N1 disease in older individuals shows a detailed age-specific pattern consistent with protection conferred by exposure to influenza A/H1N1 viruses circulating before 1957.
dc.description.sponsorshipThe project described was supported by the National Institute Of General Medical Sciences [Award Number U54GM088558], http://www.nigms.nih. gov/. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute Of General Medical Sciences or the National Institutes of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.en_AU
dc.identifier.issn1932-6203en_AU
dc.identifier.urihttp://hdl.handle.net/1885/16676
dc.publisherPublic Library of Science
dc.rightsThis is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
dc.sourcePLoS ONE
dc.subjectadolescent
dc.subjectadult
dc.subjectaged
dc.subjectchild
dc.subjectfemale
dc.subjecthospitalization
dc.subjecthumans
dc.subjectincidence
dc.subjectinfluenza a virus, h1n1 subtype
dc.subjectinfluenza, human
dc.subjectmale
dc.subjectmiddle aged
dc.subjectpandemics
dc.subjectsex factors
dc.subjectyoung adult
dc.titleSearching for Sharp Drops in the Incidence of Pandemic A/H1N1 Influenza by Single Year of Age
dc.typeJournal article
local.bibliographicCitation.issue8en_AU
local.bibliographicCitation.lastpage11
local.bibliographicCitation.startpagee42328en_AU
local.contributor.affiliationJacobs, Jessica , Harvard School of Public Health, United States of Americaen_AU
local.contributor.affiliationArcher, Brett N, National Institute for Communicable Diseases, South Africaen_AU
local.contributor.affiliationBaker, Michael, University of Otago, New Zealanden_AU
local.contributor.affiliationCowling, Benjamin, University of Hong Kong, School of Public Health, Hong Kong, Hong Kongen_AU
local.contributor.affiliationHeffernan, Richard T, Wisconsin Department of Health Services, United States of Americaen_AU
local.contributor.affiliationMercer, Geoffry, College of Medicine, Biology and Environment, CMBE Research School of Population Health, Natl Centre for Epidemiology & Population Health, The Australian National Universityen_AU
local.contributor.affiliationUez, Osvaldo, Ministry of Public Health, Argentinaen_AU
local.contributor.affiliationHanshaoworakul, Wanna, Thailand Ministry of Public Health, Thailanden_AU
local.contributor.affiliationViboud, C├®cile, National Institutes of Health , United States of Americaen_AU
local.contributor.affiliationSchwartz, Joel, Harvard School of Public Health, United States of Americaen_AU
local.contributor.affiliationTchetgen Tchetgen, Eric, Harvard School of Public Health, United States of Americaen_AU
local.contributor.affiliationLipsitch, Marc, Harvard School of Public Health, United States of Americaen_AU
local.contributor.authoruidMercer, Geoffry, u4694131
local.description.notesImported from ARIESen_AU
local.identifier.absfor111706en_AU
local.identifier.absseo920499en_AU
local.identifier.ariespublicationf5625xPUB1608en_AU
local.identifier.citationvolume7en_AU
local.identifier.doi10.1371/journal.pone.0042328en_AU
local.identifier.essn1932-6203en_AU
local.identifier.scopusID2-s2.0-84864453832
local.identifier.thomsonID000307184700044
local.type.statusPublished Versionen_AU

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