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Identification of FactorsInfluencing the Puumala Virus Seroprevalence within Its Reservoir in aMontane Forest Environment

Title data

Thoma, Bryan R. ; Müller, Jörg ; Bässler, Claus ; Georgi, Enrico ; Osterberg, Anja ; Schex, Susanne ; Bottomley, Christian ; Essbauer, Sandra S.:
Identification of FactorsInfluencing the Puumala Virus Seroprevalence within Its Reservoir in aMontane Forest Environment.
In: Viruses. Vol. 6 (2014) Issue 10 . - pp. 3944-3967.
ISSN 1999-4915
DOI: https://doi.org/10.3390/v6103944

Abstract in another language

Puumala virus (PUUV) is a major cause of mild to moderate haemorrhagic fever with renal syndrome and is transmitted by the bank vole (Myodes glareolus). There has been a high cumulative incidence of recorded human cases in South-eastern Germany since 2004 when the region was first recognized as being endemic for PUUV. As the area is well known for outdoor recreation and the Bavarian Forest National Park (BFNP) is located in the region, the increasing numbers of recorded cases are of concern. To understand the population and environmental effects on the seroprevalence of PUUV in bank voles we trapped small mammals at 23 sites along an elevation gradient from 317 to 1420m above sea level. Generalized linear mixed effects models(GLMEM) were used to explore associations between the seroprevalence of PUUV in bank voles and climate and biotic factors. We found that the seroprevalence of PUUV was low (6%–7%) in 2008 and 2009, and reached 29% in 2010. PUUV seroprevalence was positively associated with the local species diversity and deadwood layer, and negatively associated with mean annual temperature, mean annual solar radiation, and herb layer. Based on these findings, an illustrative risk map for PUUV seroprevalence prediction in bank voles was created for an area of the national park. The map will help when planning infrastructure in the national park (e.g., huts, shelters, and trails).

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: bank vole; Puumala virus; climate; population; forest; risk prediction; GLMEM
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology > Chair Fungal Ecology > Chair Fungal Ecology - Univ.-Prof. Dr. Claus Bässler
Research Institutions > Central research institutes > Bayreuth Center of Ecology and Environmental Research- BayCEER
Result of work at the UBT: No
DDC Subjects: 500 Science > 550 Earth sciences, geology
500 Science > 570 Life sciences, biology
Date Deposited: 12 Nov 2024 12:54
Last Modified: 12 Nov 2024 12:54
URI: https://eref.uni-bayreuth.de/id/eprint/91067