Publication:

Modelling the monthly abundance of Culicoides biting midges in nine European countries using Random Forests machine learning

Date

Date

Date
2020
Journal Article
Published version

Citations

Citation copied

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

Abstract

Abstract

Abstract

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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17 since deposited on 2020-08-31
Acq. date: 2025-11-12

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54 since deposited on 2020-08-31
Acq. date: 2025-11-12

Additional indexing

Creators (Authors)

  • Cuéllar, Ana Carolina
    affiliation.icon.alt
  • Kjær, Lene Jung
    affiliation.icon.alt
  • Baum, Andreas
    affiliation.icon.alt
  • Stockmarr, Anders
    affiliation.icon.alt
  • Skovgard, Henrik
    affiliation.icon.alt
  • Nielsen, Søren Achim
    affiliation.icon.alt
  • Andersson, Mats Gunnar
    affiliation.icon.alt
  • Lindström, Anders
    affiliation.icon.alt
  • Chirico, Jan
    affiliation.icon.alt
  • Lühken, Renke
    affiliation.icon.alt
  • Steinke, Sonja
    affiliation.icon.alt
  • Kiel, Ellen
    affiliation.icon.alt
  • Gethmann, Jörn
    affiliation.icon.alt
  • Conraths, Franz J
    affiliation.icon.alt
  • Larska, Magdalena
    affiliation.icon.alt
  • Smreczak, Marcin
    affiliation.icon.alt
  • Orłowska, Anna
    affiliation.icon.alt
  • Hamnes, Inger
    affiliation.icon.alt
  • Sviland, Ståle
    affiliation.icon.alt
  • Hopp, Petter
    affiliation.icon.alt
  • Brugger, Katharina
    affiliation.icon.alt
  • Rubel, Franz
    affiliation.icon.alt
  • Balenghien, Thomas
    affiliation.icon.alt
  • Garros, Claire
    affiliation.icon.alt
  • Rakotoarivony, Ignace
    affiliation.icon.alt
  • Allène, Xavier
    affiliation.icon.alt
  • Lhoir, Jonathan
    affiliation.icon.alt
  • Chavernac, David
    affiliation.icon.alt
  • Delécolle, Jean-Claude
    affiliation.icon.alt
  • Mathieu, Bruno
    affiliation.icon.alt
  • et al

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
13

Number

Number

Number
1

Page range/Item number

Page range/Item number

Page range/Item number
194

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

Parasitology, Infectious Diseases, Culicoides abundance; Culicoides seasonality; Environmental variables; Europe; Random Forest machine learning; Spatial predictions.

Language

Language

Language
English

Publication date

Publication date

Publication date
2020-12-01

Date available

Date available

Date available
2020-08-31

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
1756-3305

OA Status

OA Status

OA Status
Gold

Free Access at

Free Access at

Free Access at
Pubmed ID

PubMed ID

PubMed ID

PubMed ID

Metrics

Downloads

17 since deposited on 2020-08-31
Acq. date: 2025-11-12

Views

54 since deposited on 2020-08-31
Acq. date: 2025-11-12

Citations

Citation copied

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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