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Spatio-temporal investigation of the 1918 influenza pandemic in military populations indicates two different viruses

dc.contributor.authorShanks, G D
dc.contributor.authorMilinovich, Gabriel
dc.contributor.authorWaller, M
dc.contributor.authorClements, Archie
dc.date.accessioned2015-12-08T22:42:16Z
dc.date.issued2014
dc.date.updated2015-12-08T10:34:40Z
dc.description.abstractThere were multiple waves of influenza-like illness in 1918, the last of which resulted in a highly lethal pandemic killing 50 million people. It is difficult to study the initial waves of influenza-like illness in early 1918 because few deaths resulted and few morbidity records exist. Using extant military mortality records, we constructed mortality maps based on location of burial in France and Belgium in the British Army, and on home town in Vermont and New York in the USA Army. Differences between early and more lethal later waves in late 1918 were consistent with historical descriptions in France. The maps of Vermont and New York support the hypothesis that previous exposure may have conferred a degree of protection against subsequent infections; soldiers from rural areas, which were likely to have experienced less mixing than soldiers from urban areas, were at higher risk of mortality. Differences between combat and disease mortality in 1918 were consistent with limited influenza virus circulation during the early 1918 wave. We suggest that it is likely that more than one influenza virus was circulating in 1918, which might help explain the higher mortality rates in those unlikely to have been infected in early 1918.
dc.identifier.issn0950-2688
dc.identifier.urihttp://hdl.handle.net/1885/37014
dc.publisherCambridge University Press
dc.sourceEpidemiology and Infection
dc.titleSpatio-temporal investigation of the 1918 influenza pandemic in military populations indicates two different viruses
dc.typeJournal article
local.contributor.affiliationShanks, G D, The University of Queensland
local.contributor.affiliationMilinovich, Gabriel, University of Queensland
local.contributor.affiliationWaller, M, The University of Queensland
local.contributor.affiliationClements, Archie, College of Medicine, Biology and Environment, ANU
local.contributor.authoruidClements, Archie, u5611518
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor111706 - Epidemiology
local.identifier.ariespublicationu5427758xPUB143
local.identifier.doi10.1017/S0950268814002805
local.identifier.scopusID2-s2.0-84911392232
local.type.statusPublished Version

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