@article{ImholtReilEccardetal.2015,
  author    = {Imholt, Christian and Reil, Daniela and Eccard, Jana and Jacob, Daniela and Hempelmann, Nils and Jacob, Jens},
  title     = {Quantifying the past and future impact of climate on outbreak patterns of bank voles (Myodes glareolus)},
  series = {Pest management science},
  volume    = {71},
  journal   = {Pest management science},
  number    = {2},
  publisher = {Wiley-Blackwell},
  address   = {Hoboken},
  issn      = {1526-498X},
  doi       = {10.1002/ps.3838},
  pages     = {166 -- 172},
  year      = {2015},
  abstract  = {BACKGROUND Central European outbreak populations of the bank vole (Myodes glareolus Schreber) are known to cause damage in forestry and to transmit the most common type of Hantavirus (Puumala virus, PUUV) to humans. A sound estimation of potential effects of future climate scenarios on population dynamics is a prerequisite for long-term management strategies. Historic abundance time series were used to identify the key weather conditions associated with bank vole abundance, and were extrapolated to future climate scenarios to derive potential long-term changes in bank vole abundance dynamics. RESULTS Classification and regression tree analysis revealed the most relevant weather parameters associated with high and low bank vole abundances. Summer temperatures 2 years prior to trapping had the highest impact on abundance fluctuation. Extrapolation of the identified parameters to future climate conditions revealed an increase in years with high vole abundance. CONCLUSION Key weather patterns associated with vole abundance reflect the importance of superabundant food supply through masting to the occurrence of bank vole outbreaks. Owing to changing climate, these outbreaks are predicted potentially to increase in frequency 3-4-fold by the end of this century. This may negatively affect damage patterns in forestry and the risk of human PUUV infection in the long term. (c) 2014 Society of Chemical Industry},
  language  = {en}
}
@article{ReilBinderFreiseetal.2018,
  author    = {Reil, Daniela and Binder, Florian and Freise, Jona and Imholt, Christian and Beyrers, Konrad and Jacob, Jens and Kr{\"u}ger, Detlev H. and Hofmann, J{\"o}rg and Dreesman, Johannes and Ulrich, Rainer G{\"u}nter},
  title     = {Hantaviren in Deutschland},
  series = {Berliner und M{\"u}nchener tier{\"a}rztliche Wochenschrift},
  volume    = {131},
  journal   = {Berliner und M{\"u}nchener tier{\"a}rztliche Wochenschrift},
  number    = {11-12},
  publisher = {Schl{\"u}tersche Verlagsgesellschaft mbH \& Co. KG.},
  address   = {Hannover},
  issn      = {0005-9366},
  doi       = {10.2376/0005-9366-18003},
  pages     = {453 -- 464},
  year      = {2018},
  abstract  = {Hantaviruses are small mammal-associated pathogens that are found in rodents but also in shrews, moles and bats. Aim of this manuscript is to give a current overview of the epidemiology and ecology of hantaviruses in Germany and to discuss respective models for the prediction of virus outbreaks. In Germany the majority of human disease cases are caused by the Puumala virus (PUUV), transmitted by the bank vole (Myodes glareolus). PUUV is associated with the Western evolutionary lineage of the bank vole and is not present in the eastern and northern parts of Germany. A second human pathogenic hantavirus is the Dobrava-Belgrade virus (DOBV), genotype Kurkino; its reservoir host, the striped field mouse (Apodemus agrarius), is mostly occurring in the eastern part of Germany. A PUUV-related hantavirus is the rarely pathogenic Tula virus (TULV), that is associated with the common vole (Microtus arvalis). In addition, Seewis virus, Asikkala virus, and Bruges virus are shrew- and mole-associated hantaviruses with still unknown pathogenicity in humans. Human disease cases are associated with the different hantaviruses according to their regional distribution. The viruses can cause mild to severe but also subclinical courses of the respective disease. The number of human PUUV disease cases in 2007, 2010, 2012, 2015 and 2017 correlates with the occurrence of high levels of seed production of beech trees ("beech mast") in the preceding year. Models based on weather parameters for the prediction of PUUV disease clusters as developed in recent years need further validation and optimisation. in addition to the abundance of infected reservoir rodents, the exposure behaviour of humans affects the risk of human infection. The application of robust forecast models can assist the public health service to develop and communicate spatially and temporally targeted information. Thus, further recommendations to mitigate infection risk for the public may be provided.},
  language  = {de}
}