Lene Jung Kjær
Associate Professor
Animal Welfare and Disease Control
Grønnegårdsvej 8
1870 Frederiksberg C
Big data - modelling of midges in Europa using machine learning techniques and satellite imagery
Cuellar, A. C., Kjær, L. J., Skovgaard, H., Nielsen, S. A., Stockmarr, A., Anderson, G., Lindström, A., Chirico, J., Lilja, T., Lühken, R., Steinke, S., Kiel, E., Larska, M., Hamnes, S. I., Sviland, S., Hopp, P., Brugger, K., Rubel, F., Balenghien, T., Garros, C. & 16 others, , 2017, NKVet Symposium 2017 - abstract book.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research
Microclimatic temperatures increase the potential for vector-borne disease transmission in the Scandinavian climate
Haider, N., Kirkeby, Carsten, Kristensen, B., Kjær, Lene Jung, Havskov Sørensen, J. & Bødker, René, 2017, In: Scientific Reports. 7, 8175.Research output: Contribution to journal › Journal article › Research › peer-review
Microclimatic temperatures of Danish cattle farms: a better understanding of the variation in transmission potential of Schmallenberg virus
Haider, N., Cuellar, A. C., Kjær, Lene Jung, Havskov Sørensen, J. & Bødker, René, 2017, p. 54-55.Research output: Contribution to conference › Conference abstract for conference › Research
Modelling risk of tick exposure in southern Scandinavia using machine learning techniques, satellite imagery, and human population density maps
Kjær, Lene Jung, Korslund, L., Kjelland, V., Slettan, A., Andreassen, Å. K., Paulsen, K. M., Christensson, M., Kjellander, P., Teräväinen, M., Soleng, A., Edgar, K. S., Lindstedt, H. H., Schou, K. K. & Bødker, René, 2017.Research output: Contribution to conference › Paper › Research
Modelling tick abundance using machine learning techniques and satellite imagery
Kjær, Lene Jung, Korslund, L., Kjelland, V., Slettan, A., Andreassen, Å. K., Paulsen, K. M., Christensson, M., Kjellander, P., Teräväinen, M., Soleng, A., Edgar, K. S., Lindstedt, H. H., Schou, K. K. & Bødker, René, 2017.Research output: Contribution to conference › Paper › Research
Predicting tick abundance in Southern Scandinavia using machine learning techniques and satellite imagery – a part of the ScandTick Innovation project
Kjær, Lene Jung, Korslund, L., Kjelland, V., Slettan, A., Andreassen, Å. K., Paulsen, K. M., Christensson, M., Kjellander, P., Teräväinen, M., Soleng, A., Edgar, K. S., Lindstedt, H. H., Schou, K. K. & Bødker, René, 2017.Research output: Contribution to conference › Paper › Research
ID: 210601446
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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
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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