Publication: Modelling the monthly abundance of Culicoides biting midges in nine European countries using Random Forests machine learning
Modelling the monthly abundance of Culicoides biting midges in nine European countries using Random Forests machine learning
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Cuéllar, A. C., Kjær, L. J., Baum, A., Stockmarr, A., Skovgard, H., Nielsen, S. A., Andersson, M. G., Lindström, A., Chirico, J., Lühken, R., Steinke, S., Kiel, E., Gethmann, J., Conraths, F. J., Larska, M., Smreczak, M., Orłowska, A., Hamnes, I., Sviland, S., … et al. (2020). Modelling the monthly abundance of Culicoides biting midges in nine European countries using Random Forests machine learning. Parasites & Vectors, 13(1), 194. https://doi.org/10.1186/s13071-020-04053-x
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Background: Culicoides biting midges transmit viruses resulting in disease in ruminants and equids such as bluetongue, Schmallenberg disease and African horse sickness. In the past decades, these diseases have led to important economic losses for farmers in Europe. Vector abundance is a key factor in determining the risk of vector-borne disease spread and it is, therefore, important to predict the abundance of Culicoides species involved in the transmission of these pathogens. The objectives of this study were to model and map the mon
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Cuéllar, A. C., Kjær, L. J., Baum, A., Stockmarr, A., Skovgard, H., Nielsen, S. A., Andersson, M. G., Lindström, A., Chirico, J., Lühken, R., Steinke, S., Kiel, E., Gethmann, J., Conraths, F. J., Larska, M., Smreczak, M., Orłowska, A., Hamnes, I., Sviland, S., … et al. (2020). Modelling the monthly abundance of Culicoides biting midges in nine European countries using Random Forests machine learning. Parasites & Vectors, 13(1), 194. https://doi.org/10.1186/s13071-020-04053-x