Lene Jung Kjær
Associate Professor
Animal Welfare and Disease Control
Grønnegårdsvej 8
1870 Frederiksberg C
My primary focus centers on modelling biological phenomena, including disease transmission, vectors, and vector-borne pathogens. I have a keen interest in statistical models, spatio-temporal models, machine learning methods, simulation modelling, and agent-based modelling.
My expertise primarily lies in vectors, with a particular emphasis on ticks. As a member of the Vector group at the University of Copenhagen, I am actively involved in modelling tick distribution, abundance, activity patterns, and pathogen prevalence. In my research, I utilize remote sensing data, statistical methods, machine learning algorithms, and GIS techniques.
Furthermore, I contribute to the National surveillance of vectors by collecting and disseminating vector data through Myggetal.dk.
Additionally, I am involved with the Avian influenza epidemiology group where I am engaged in predictive spatial modelling of avian influenza. Together with colleagues, we have developed a forecasting model for highly pathogenic avian influenza in Europe. This model is publicly accessible at http://www.enigmahpai.org
ID: 210601446
Most downloads
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140
downloads
A large-scale screening for the taiga tick, Ixodes persulcatus, and the meadow tick, Dermacentor reticulatus, in southern Scandinavia, 2016
Research output: Contribution to journal › Letter › Research › peer-review
Published -
74
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Quantifying the potential for bluetongue virus transmission in Danish cattle farms
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
54
downloads
Predicting the spatial abundance of Ixodes ricinus ticks in southern Scandinavia using environmental and climatic data
Research output: Contribution to journal › Journal article › Research › peer-review
Published