Näytä suppeat kuvailutiedot

dc.contributor.authorAminikhah, Mahdi
dc.contributor.authorForsman, Jukka T.
dc.contributor.authorKoskela, Esa
dc.contributor.authorMappes, Tapio
dc.contributor.authorSane, Jussi
dc.contributor.authorOllgren, Jukka
dc.contributor.authorKivelä, Sami M.
dc.contributor.authorKallio, Eva R.
dc.date.accessioned2021-08-18T06:08:53Z
dc.date.available2021-08-18T06:08:53Z
dc.date.issued2021
dc.identifier.citationAminikhah, M., Forsman, J. T., Koskela, E., Mappes, T., Sane, J., Ollgren, J., Kivelä, S. M., & Kallio, E. R. (2021). Rodent host population dynamics drive zoonotic Lyme Borreliosis and Orthohantavirus infections in humans in Northern Europe. <i>Scientific Reports</i>, <i>11</i>, Article 16128. <a href="https://doi.org/10.1038/s41598-021-95000-y" target="_blank">https://doi.org/10.1038/s41598-021-95000-y</a>
dc.identifier.otherCONVID_99265314
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/77397
dc.description.abstractZoonotic diseases, caused by pathogens transmitted between other vertebrate animals and humans, pose a major risk to human health. Rodents are important reservoir hosts for many zoonotic pathogens, and rodent population dynamics affect the infection dynamics of rodent-borne diseases, such as diseases caused by hantaviruses. However, the role of rodent population dynamics in determining the infection dynamics of rodent-associated tick-borne diseases, such as Lyme borreliosis (LB), caused by Borrelia burgdorferi sensu lato bacteria, have gained limited attention in Northern Europe, despite the multiannual abundance fluctuations, the so-called vole cycles, that characterise rodent population dynamics in the region. Here, we quantify the associations between rodent abundance and LB human cases and Puumala Orthohantavirus (PUUV) infections by using two time series (25-year and 9-year) in Finland. Both bank vole (Myodes glareolus) abundance as well as LB and PUUV infection incidence in humans showed approximately 3-year cycles. Without vector transmitted PUUV infections followed the bank vole host abundance fluctuations with two-month time lag, whereas tick-transmitted LB was associated with bank vole abundance ca. 12 and 24 months earlier. However, the strength of association between LB incidence and bank vole abundance ca. 12 months before varied over the study years. This study highlights that the human risk to acquire rodent-borne pathogens, as well as rodent-associated tick-borne pathogens is associated with the vole cycles in Northern Fennoscandia, yet with complex time lags.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherNature Publishing Group
dc.relation.ispartofseriesScientific Reports
dc.rightsCC BY 4.0
dc.titleRodent host population dynamics drive zoonotic Lyme Borreliosis and Orthohantavirus infections in humans in Northern Europe
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202108184560
dc.contributor.laitosBio- ja ympäristötieteiden laitosfi
dc.contributor.laitosDepartment of Biological and Environmental Scienceen
dc.contributor.oppiaineResurssiviisausyhteisöfi
dc.contributor.oppiaineEkologia ja evoluutiobiologiafi
dc.contributor.oppiaineSchool of Resource Wisdomen
dc.contributor.oppiaineEcology and Evolutionary Biologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn2045-2322
dc.relation.volume11
dc.type.versionpublishedVersion
dc.rights.copyright© 2021 the Authors
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber324605
dc.relation.grantnumber329332
dc.relation.grantnumber329326
dc.subject.ysoBorrelia-bakteerit
dc.subject.ysozoonoosit
dc.subject.ysojyrsijät
dc.subject.ysoborrelioosi
dc.subject.ysopopulaatiodynamiikka
dc.subject.ysoPuumala-virus
dc.subject.ysoisäntäeläimet
dc.subject.ysoborrelioosi
dc.subject.ysoinfektiot
dc.subject.ysotaudinaiheuttajat
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p23656
jyx.subject.urihttp://www.yso.fi/onto/yso/p10500
jyx.subject.urihttp://www.yso.fi/onto/yso/p3571
jyx.subject.urihttp://www.yso.fi/onto/yso/p13975
jyx.subject.urihttp://www.yso.fi/onto/yso/p23558
jyx.subject.urihttp://www.yso.fi/onto/yso/p22336
jyx.subject.urihttp://www.yso.fi/onto/yso/p24487
jyx.subject.urihttp://www.yso.fi/onto/yso/p13976
jyx.subject.urihttp://www.yso.fi/onto/yso/p7316
jyx.subject.urihttp://www.yso.fi/onto/yso/p8822
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1038/s41598-021-95000-y
dc.relation.funderResearch Council of Finlanden
dc.relation.funderResearch Council of Finlanden
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramAcademy Project, AoFen
jyx.fundingprogramAcademy Research Fellow, AoFen
jyx.fundingprogramAcademy Programme, AoFen
jyx.fundingprogramAkatemiahanke, SAfi
jyx.fundingprogramAkatemiatutkija, SAfi
jyx.fundingprogramAkatemiaohjelma, SAfi
jyx.fundinginformationThis research was funded by Kvantum Institute at University of Oulu (M.A.), the Academy of Finland (Grant Numbers 329332, 310104, 329326 to E.R.K.; 314833, 319898 to S.M.K.; 324605 to T.M; 257340 to E.K.), Finnish Institute for Health and Welfare (J.S. and J.O.) and Kone Foundation (J.T.F.).
dc.type.okmA1


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