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Beech fructification and bank vole population dynamics

  • The transmission of wildlife zoonoses to humans depends, amongst others, on complex interactions of host population ecology and pathogen dynamics within host populations. In Europe, the Puumala virus (PUUV) causes nephropathia epidemica in humans. In this study we investigated complex interrelations within the epidemic system of PUUV and its rodent host, the bank vole (Myodes glareolus). We suggest that beech fructification and bank vole abundance are both decisive factors affecting human PUUV infections. While rodent host dynamics are expected to be directly linked to human PUUV infections, beech fructification is a rather indirect predictor by serving as food source for PUUV rodent hosts. Furthermore, we examined the dependence of bank vole abundance on beech fructification. We analysed a 12-year (2001-2012) time series of the parameters: beech fructification (as food resource for the PUUV host), bank vole abundance and human incidences from 7 Federal States of Germany. For the first time, we could show the direct interrelationThe transmission of wildlife zoonoses to humans depends, amongst others, on complex interactions of host population ecology and pathogen dynamics within host populations. In Europe, the Puumala virus (PUUV) causes nephropathia epidemica in humans. In this study we investigated complex interrelations within the epidemic system of PUUV and its rodent host, the bank vole (Myodes glareolus). We suggest that beech fructification and bank vole abundance are both decisive factors affecting human PUUV infections. While rodent host dynamics are expected to be directly linked to human PUUV infections, beech fructification is a rather indirect predictor by serving as food source for PUUV rodent hosts. Furthermore, we examined the dependence of bank vole abundance on beech fructification. We analysed a 12-year (2001-2012) time series of the parameters: beech fructification (as food resource for the PUUV host), bank vole abundance and human incidences from 7 Federal States of Germany. For the first time, we could show the direct interrelation between these three parameters involved in human PUUV epidemics and we were able to demonstrate on a large scale that human PUUV infections are highly correlated with bank vole abundance in the present year, as well as beech fructification in the previous year. By using beech fructification and bank vole abundance as predictors in one model we significantly improved the degree of explanation of human PUUV incidence. Federal State was included as random factor because human PUUV incidence varies considerably among states. Surprisingly, the effect of rodent abundance on human PUUV infections is less strong compared to the indirect effect of beech fructification. Our findings are useful to facilitate the development of predictive models for host population dynamics and the related PUUV infection risk for humans and can be used for plant protection and human health protection purposes.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Daniela ReilORCiDGND, Christian ImholtORCiDGND, Jana EccardORCiDGND, Jens JacobORCiDGND
URN:urn:nbn:de:kobv:517-opus4-408064
ISSN:1866-8372
Titel des übergeordneten Werks (Englisch):Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
Untertitel (Englisch):combined analyses of promoters of Human Puumala virus infections in Germany
Schriftenreihe (Bandnummer):Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (484)
Publikationstyp:Postprint
Sprache:Englisch
Datum der Erstveröffentlichung:10.12.2018
Erscheinungsjahr:2015
Veröffentlichende Institution:Universität Potsdam
Datum der Freischaltung:10.12.2018
Freies Schlagwort / Tag:Hantavirus infection; Lyme-disease; Rodent populations; renal-failure; risk-factors; temporal dynamics
Clethrionomys-Glareolus; Fagus-Sylvatica L; Nephrorathia-Epidemica
Ausgabe:484
Seitenanzahl:14
Quelle:PLOS ONE 10 (2015) 7, Art. e0134124 DOI: 10.1371/journal.pone.0134124
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät
DDC-Klassifikation:5 Naturwissenschaften und Mathematik / 50 Naturwissenschaften / 500 Naturwissenschaften und Mathematik
6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Peer Review:Referiert
Publikationsweg:Open Access
Fördermittelquelle:Public Library of Science (PLOS)
Lizenz (Deutsch):License LogoCC-BY - Namensnennung 4.0 International
Externe Anmerkung:Bibliographieeintrag der Originalveröffentlichung/Quelle
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