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Analysis of multi-level spatial data reveals strong synchrony in seasonal influenza epidemics across Norway, Sweden, and Denmark

dc.contributor.authorMorris, Sinead E.
dc.contributor.authorDe Blasio, Birgitte Freiesleben
dc.contributor.authorViboud, Cécile
dc.contributor.authorWesolowski, Amy
dc.contributor.authorBjørnstad, Ottar Nordal
dc.contributor.authorGrenfell, Bryan T.
dc.date.accessioned2019-02-14T13:06:40Z
dc.date.available2019-02-14T13:06:40Z
dc.date.created2018-05-25T10:00:50Z
dc.date.issued2018
dc.identifier.citationPLoS ONE. 2018, 13 (5), .
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/11250/2585505
dc.language.isoeng
dc.relation.urihttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0197519&type=printable
dc.titleAnalysis of multi-level spatial data reveals strong synchrony in seasonal influenza epidemics across Norway, Sweden, and Denmark
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber19
dc.source.volume13
dc.source.journalPLoS ONE
dc.source.issue5
dc.identifier.doi10.1371/journal.pone.0197519
dc.identifier.cristin1586660
cristin.unitcode7502,4,19,0
cristin.unitnameAvdeling for infeksjonsepidemiologi og modellering
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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