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

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 c...

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Main Authors: Cuéllar, Ana, Kjær, Lene Jung, Baum, Andreas, Stockmarr, Anders, Skovgard, Henrik, Nielsen, Søren, Andersson, Mats, Lindström, Anders, Chirico, Jan, Lühken, Renke, Steinke, Sonja, Kiel, Ellen, Gethmann, Jörn, Conraths, Franz, Larska, Magdalena, Smreczak, Marcin, Orłowska, Anna, Hamnes, Inger, Sviland, Ståle, Hopp, Petter, Brugger, Katharina, Rubel, Franz, Balenghien, Thomas, Garros, Claire, Rakotoarivony, Ignace, Allène, Xavier, Lhoir, Jonathan, Chavernac, David, Delécolle, Jean-Claude, Mathieu, Bruno, Delécolle, Delphine, Marie-Laure Setier-Rio, Venail, Roger, Bethsabée Scheid, Chueca, Miguel, Barceló, Carlos, Lucientes, Javier, Estrada, Rosa, Mathis, Alexander, Tack, Wesley, Bødker, René
Format: Article in Journal/Newspaper
Language:unknown
Published: Figshare 2018
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.c.4319123.v1
https://figshare.com/collections/Monthly_variation_in_the_probability_of_presence_of_adult_Culicoides_populations_in_nine_European_countries_and_the_implications_for_targeted_surveillance/4319123/1
id ftdatacite:10.6084/m9.figshare.c.4319123.v1
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institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Medicine
Neuroscience
59999 Environmental Sciences not elsewhere classified
FOS Earth and related environmental sciences
Ecology
FOS Biological sciences
Sociology
FOS Sociology
69999 Biological Sciences not elsewhere classified
Cancer
Plant Biology
Computational Biology
spellingShingle Medicine
Neuroscience
59999 Environmental Sciences not elsewhere classified
FOS Earth and related environmental sciences
Ecology
FOS Biological sciences
Sociology
FOS Sociology
69999 Biological Sciences not elsewhere classified
Cancer
Plant Biology
Computational Biology
Cuéllar, Ana
Kjær, Lene Jung
Baum, Andreas
Stockmarr, Anders
Skovgard, Henrik
Nielsen, Søren
Andersson, Mats
Lindström, Anders
Chirico, Jan
Lühken, Renke
Steinke, Sonja
Kiel, Ellen
Gethmann, Jörn
Conraths, Franz
Larska, Magdalena
Smreczak, Marcin
Orłowska, Anna
Hamnes, Inger
Sviland, Ståle
Hopp, Petter
Brugger, Katharina
Rubel, Franz
Balenghien, Thomas
Garros, Claire
Rakotoarivony, Ignace
Allène, Xavier
Lhoir, Jonathan
Chavernac, David
Delécolle, Jean-Claude
Mathieu, Bruno
Delécolle, Delphine
Marie-Laure Setier-Rio
Venail, Roger
Bethsabée Scheid
Chueca, Miguel
Barceló, Carlos
Lucientes, Javier
Estrada, Rosa
Mathis, Alexander
Tack, Wesley
Bødker, René
Monthly variation in the probability of presence of adult Culicoides populations in nine European countries and the implications for targeted surveillance
topic_facet Medicine
Neuroscience
59999 Environmental Sciences not elsewhere classified
FOS Earth and related environmental sciences
Ecology
FOS Biological sciences
Sociology
FOS Sociology
69999 Biological Sciences not elsewhere classified
Cancer
Plant Biology
Computational Biology
description 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.
format Article in Journal/Newspaper
author Cuéllar, Ana
Kjær, Lene Jung
Baum, Andreas
Stockmarr, Anders
Skovgard, Henrik
Nielsen, Søren
Andersson, Mats
Lindström, Anders
Chirico, Jan
Lühken, Renke
Steinke, Sonja
Kiel, Ellen
Gethmann, Jörn
Conraths, Franz
Larska, Magdalena
Smreczak, Marcin
Orłowska, Anna
Hamnes, Inger
Sviland, Ståle
Hopp, Petter
Brugger, Katharina
Rubel, Franz
Balenghien, Thomas
Garros, Claire
Rakotoarivony, Ignace
Allène, Xavier
Lhoir, Jonathan
Chavernac, David
Delécolle, Jean-Claude
Mathieu, Bruno
Delécolle, Delphine
Marie-Laure Setier-Rio
Venail, Roger
Bethsabée Scheid
Chueca, Miguel
Barceló, Carlos
Lucientes, Javier
Estrada, Rosa
Mathis, Alexander
Tack, Wesley
Bødker, René
author_facet Cuéllar, Ana
Kjær, Lene Jung
Baum, Andreas
Stockmarr, Anders
Skovgard, Henrik
Nielsen, Søren
Andersson, Mats
Lindström, Anders
Chirico, Jan
Lühken, Renke
Steinke, Sonja
Kiel, Ellen
Gethmann, Jörn
Conraths, Franz
Larska, Magdalena
Smreczak, Marcin
Orłowska, Anna
Hamnes, Inger
Sviland, Ståle
Hopp, Petter
Brugger, Katharina
Rubel, Franz
Balenghien, Thomas
Garros, Claire
Rakotoarivony, Ignace
Allène, Xavier
Lhoir, Jonathan
Chavernac, David
Delécolle, Jean-Claude
Mathieu, Bruno
Delécolle, Delphine
Marie-Laure Setier-Rio
Venail, Roger
Bethsabée Scheid
Chueca, Miguel
Barceló, Carlos
Lucientes, Javier
Estrada, Rosa
Mathis, Alexander
Tack, Wesley
Bødker, René
author_sort Cuéllar, Ana
title Monthly variation in the probability of presence of adult Culicoides populations in nine European countries and the implications for targeted surveillance
title_short Monthly variation in the probability of presence of adult Culicoides populations in nine European countries and the implications for targeted surveillance
title_full Monthly variation in the probability of presence of adult Culicoides populations in nine European countries and the implications for targeted surveillance
title_fullStr Monthly variation in the probability of presence of adult Culicoides populations in nine European countries and the implications for targeted surveillance
title_full_unstemmed Monthly variation in the probability of presence of adult Culicoides populations in nine European countries and the implications for targeted surveillance
title_sort monthly variation in the probability of presence of adult culicoides populations in nine european countries and the implications for targeted surveillance
publisher Figshare
publishDate 2018
url https://dx.doi.org/10.6084/m9.figshare.c.4319123.v1
https://figshare.com/collections/Monthly_variation_in_the_probability_of_presence_of_adult_Culicoides_populations_in_nine_European_countries_and_the_implications_for_targeted_surveillance/4319123/1
geographic Norway
geographic_facet Norway
genre Northern Sweden
genre_facet Northern Sweden
op_relation https://dx.doi.org/10.1186/s13071-018-3182-0
https://dx.doi.org/10.6084/m9.figshare.c.4319123
op_rights CC BY 4.0
https://creativecommons.org/licenses/by/4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.c.4319123.v1
https://doi.org/10.1186/s13071-018-3182-0
https://doi.org/10.6084/m9.figshare.c.4319123
_version_ 1766148094033920000
spelling ftdatacite:10.6084/m9.figshare.c.4319123.v1 2023-05-15T17:45:14+02:00 Monthly variation in the probability of presence of adult Culicoides populations in nine European countries and the implications for targeted surveillance Cuéllar, Ana Kjær, Lene Jung Baum, Andreas Stockmarr, Anders Skovgard, Henrik Nielsen, Søren Andersson, Mats Lindström, Anders Chirico, Jan Lühken, Renke Steinke, Sonja Kiel, Ellen Gethmann, Jörn Conraths, Franz Larska, Magdalena Smreczak, Marcin Orłowska, Anna Hamnes, Inger Sviland, Ståle Hopp, Petter Brugger, Katharina Rubel, Franz Balenghien, Thomas Garros, Claire Rakotoarivony, Ignace Allène, Xavier Lhoir, Jonathan Chavernac, David Delécolle, Jean-Claude Mathieu, Bruno Delécolle, Delphine Marie-Laure Setier-Rio Venail, Roger Bethsabée Scheid Chueca, Miguel Barceló, Carlos Lucientes, Javier Estrada, Rosa Mathis, Alexander Tack, Wesley Bødker, René 2018 https://dx.doi.org/10.6084/m9.figshare.c.4319123.v1 https://figshare.com/collections/Monthly_variation_in_the_probability_of_presence_of_adult_Culicoides_populations_in_nine_European_countries_and_the_implications_for_targeted_surveillance/4319123/1 unknown Figshare https://dx.doi.org/10.1186/s13071-018-3182-0 https://dx.doi.org/10.6084/m9.figshare.c.4319123 CC BY 4.0 https://creativecommons.org/licenses/by/4.0 CC-BY Medicine Neuroscience 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Ecology FOS Biological sciences Sociology FOS Sociology 69999 Biological Sciences not elsewhere classified Cancer Plant Biology Computational Biology Collection article 2018 ftdatacite https://doi.org/10.6084/m9.figshare.c.4319123.v1 https://doi.org/10.1186/s13071-018-3182-0 https://doi.org/10.6084/m9.figshare.c.4319123 2021-11-05T12:55:41Z 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. Article in Journal/Newspaper Northern Sweden DataCite Metadata Store (German National Library of Science and Technology) Norway