Monthly variation in the probability of presence of adult Culicoides populations in nine European countries and the implications for targeted surveillance

Cuéllar Ana Carolina, Kjaer Lene Jung, Baum Andreas, Stockmarr Anders, Skovgard Henrik, Nielsen Soren Achim, Andersson Mats Gunnar, Lindstrom Anders, Chirico Jan, Lühken Renke, Steinke Sonja, Kiel Ellen, Gethmann Jörn M., Conraths Franz J., Larska Magdalena, Smreczak Marcin, Ortowska Anna, Hamnes Inger, Sviland Stale, Hopp Petter, Brugger Katharina, Rubel Franz, Balenghien Thomas, Garros Claire, Rakotoarivony Ignace, Allene Xavier, Lhoir Jonathan, Chavernac David, Delecolle Delphine, Mathieu Bruno, Delecolle Delphine, Setier-Rio Marie-Laure, Venail Roger, Scheid Bethsabée, Miranda Chueca Miguel Ángel, Barcelo Carlos, Lucientes Javier, Estrada Rosa, Mathis Alexander, Tack Wesley, Bodker René. 2018. Monthly variation in the probability of presence of adult Culicoides populations in nine European countries and the implications for targeted surveillance. Parasites and Vectors, 11:608, 19 p.

Journal article ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total
Published version - Anglais
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Cuellar et al P&V 2018b.pdf

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Quartile : Q1, Sujet : TROPICAL MEDICINE / Quartile : Q1, Sujet : PARASITOLOGY

Abstract : Background: Biting midges of the genus Culicoides (Diptera: Ceratopogonidae) are small hematophagous insects responsible for the transmission of bluetongue virus, Schmallenberg virus and African horse sickness virus to wild and domestic ruminants and equids. Outbreaks of these viruses have caused economic damage within the European Union. The spatio-temporal distribution of biting midges is a key factor in identifying areas with the potential for disease spread. The aim of this study was to identify and map areas of neglectable adult activity for each month in an average year. Average monthly risk maps can be used as a tool when allocating resources for surveillance and control programs within Europe. Methods : We modelled the occurrence of C. imicola and the Obsoletus and Pulicaris ensembles using existing entomological surveillance data from Spain, France, Germany, Switzerland, Austria, Denmark, Sweden, Norway and Poland. The monthly probability of each vector species and ensembles being present in Europe based on climatic and environmental input variables was estimated with the machine learning technique Random Forest. Subsequently, the monthly probability was classified into three classes: Absence, Presence and Uncertain status. These three classes are useful for mapping areas of no risk, areas of high-risk targeted for animal movement restrictions, and areas with an uncertain status that need active entomological surveillance to determine whether or not vectors are present. Results: The distribution of Culicoides species ensembles were in agreement with their previously reported distribution in Europe. The Random Forest models were very accurate in predicting the probability of presence for C. imicola (mean AUC = 0.95), less accurate for the Obsoletus ensemble (mean AUC = 0.84), while the lowest accuracy was found for the Pulicaris ensemble (mean AUC = 0.71). The most important environmental variables in the models were related to temperature and precipitation for all three groups. Conclusions: The duration periods with low or null adult activity can be derived from the associated monthly distribution maps, and it was also possible to identify and map areas with uncertain predictions. In the absence of ongoing vector surveillance, these maps can be used by veterinary authorities to classify areas as likely vector-free or as likely risk areas from southern Spain to northern Sweden with acceptable precision. The maps can also focus costly entomological surveillance to seasons and areas where the predictions and vector-free status remain uncertain.

Mots-clés géographiques Agrovoc : Europe, Espagne, France, Allemagne, Suisse, Autriche, Danemark, Suède, Norvège, Pologne

Classification Agris : L73 - Animal diseases
L72 - Pests of animals

Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes

Auteurs et affiliations

  • Cuéllar Ana Carolina, NVI (DNK) - auteur correspondant
  • Kjaer Lene Jung, Technical University of Denmark (DNK)
  • Baum Andreas, Technical University of Denmark (DNK)
  • Stockmarr Anders, Technical University of Denmark (DNK)
  • Skovgard Henrik, Aarhus University (DNK)
  • Nielsen Soren Achim, Roskilde University (DNK)
  • Andersson Mats Gunnar, National Veterinary Institute (SWE)
  • Lindstrom Anders, National Veterinary Institute (SWE)
  • Chirico Jan, National Veterinary Institute (SWE)
  • Lühken Renke, Bernhard Nocht Institut fuer Schiffs und Tropenkrankheiten (DEU)
  • Steinke Sonja, Carl von Ossietzky University of Oldenburg (DEU)
  • Kiel Ellen, Carl von Ossietzky University of Oldenburg (DEU)
  • Gethmann Jörn M., FLI (DEU)
  • Conraths Franz J., FLI (DEU)
  • Larska Magdalena, National Veterinary Research Institute (POL)
  • Smreczak Marcin, National Veterinary Research Institute (POL)
  • Ortowska Anna, National Veterinary Research Institute (POL)
  • Hamnes Inger, Norwegian Veterinary Institute (NOR)
  • Sviland Stale, Norwegian Veterinary Institute (NOR)
  • Hopp Petter, Norwegian Veterinary Institute (NOR)
  • Brugger Katharina, Institute for Veterinary Public Health (AUT)
  • Rubel Franz, Institute for Veterinary Public Health (AUT)
  • Balenghien Thomas, CIRAD-BIOS-UMR ASTRE (MAR)
  • Garros Claire, CIRAD-BIOS-UMR ASTRE (REU) ORCID: 0000-0003-4378-5031
  • Rakotoarivony Ignace, CIRAD-BIOS-UMR ASTRE (FRA)
  • Allene Xavier, CIRAD-BIOS-UMR ASTRE (FRA)
  • Lhoir Jonathan
  • Chavernac David, CIRAD-BIOS-UMR ASTRE (FRA)
  • Delecolle Delphine, Université de Strasbourg (FRA)
  • Mathieu Bruno, Université de Strasbourg (FRA)
  • Delecolle Delphine, Université de Strasbourg (FRA)
  • Setier-Rio Marie-Laure, EID (FRA)
  • Venail Roger, EID (FRA)
  • Scheid Bethsabée, EID (FRA)
  • Miranda Chueca Miguel Ángel, University of the Baleanic Islands (ESP)
  • Barcelo Carlos, UIB (ESP)
  • Lucientes Javier, Universidad de Zaragoza (ESP)
  • Estrada Rosa, University of Zaragoza (ESP)
  • Mathis Alexander, University of Zurich (CHE)
  • Tack Wesley, Avia-GIS (BEL)
  • Bodker René, NVI (DNK)

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