13 results on '"Lhoir, J."'
Search Results
2. Big data - modelling of midges in Europa using machine learning techniques and satellite imagery
- Author
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Ana Carolina Cuellar, Lene Jung Kjær, Henrik Skovgaard, Søren Archim Nielsen, Anders Stockmarr, Anderson, G., Anders Lindström, Chirico, J., Lilja, T., Lühken, R., Steinke, S., Kiel, E., Magdalena Larska, Hamnes, S. I., Sviland, S., Petter Hopp, Brugger, K., Rubel, F., Balenghien, T., Garros, C., Rakotoarivony, I., Allene, X., Lhoir, J., Delecolle, J. C., Mathieu, B., Delecolle, D., Setier-Rio, M. L., Venail, R., Scheid, B., Miranda Chueca, M. A., Barcelo Segui, C., Lucientes, J., Estrada, R., Tack Wesley, Mathis, A., and Rene Bødker
- Abstract
Biting midges (Diptera, Ceratopogonidae) of the genus Culicoides are important vectors of pathogens causing diseases in free living and production animals and can lead to large economic losses in many European countries. In Europe, Culicoides imicola and the Obsoletus group are considered to be the main vectors of bluetongue virus that mostly affects ruminants such as cattle and sheep. Spatio-temporal modelling of vector distribution and abundance allows us to identify high risk areas for virus transmission and can aid in applying effective surveillance and control measures. We used presence-absence and monthly abundance data of Culicoides from 1005 sites across 9 countries (Spain, France, Denmark, Poland, Switzerland, Austria, Poland, Sweden, Norway) collected between the years 2007 and 2013. The dataset included information on the vector species abundance (number of specimens caught per night), GPS coordinates of each trap, start and end dates of trapping. We used 120 environmental predictor variables together with Random Forest machine learning algorithms to predict the overall species distribution (probability of occurrence) and monthly abundance in Europe. We generated maps for every month of the year, to visualize the abundance of C. imicola and Obsoletus group in Europe as well as distribution maps showing the probability of occurrence. We were able to create predictive maps of both Culicoides sp. occurrence and abundance using Random Forest models, and although the variance was large, the predicted abundance values for each site had a positive correlation with the observed abundance. We found relatively large spatial variations in probability of occurrence and abundance for both C. imicola and the Obsoletus group. For C. imicola probability of occurrence and abundance was higher in southern Spain, where as the Obsoletus group had higher probability of occurrence and abundance in central and northern Europe such as France and Germany. Temporal variation was also observed with higher abundance occurring during summer months and low or no abundance during winter months for both C. imicula and the Obsoletus group, although abundance was generally higher for a longer period of time for C. imicula than for the Obsoletus group.Using machine learning techniques, we were able to model the spatial distribution in Europe for C. imicola and the Obsoletus group in terms of abundance and suitability (probability of occurrence). Our maps corresponded well with the previously reported distribution for C. imicola and the Obsoletus group. The observed seasonal variation was also consistent with reported population dynamics for Culicoides, as it depends on environmental factors such as temperature and rainfall. Longer seasonal abundance for C. imicula compared to the Obsoletus group can be explained by the species distribution, as C. imicula is limited to the southern parts of Europe where the warm season lasts longer, whereas the Obsoletus group is found further north. The outputs obtained here will be used as input for epidemiological models and can be helpful for determining high risk areas for disease transmission.
- Published
- 2017
3. Big data - modelling of midges in Europa using machine learning techniques and satellite imagery
- Author
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Cuellar, Ana Carolina, Kjær, Lene Jung, Skovgaard, Henrik, Nielsen, Søren Archim, Stockmarr, Anders, Anderson, G., Lindström, Anders, Chirico, J., Lilja, T., Lühken, R., Steinke, S., Kiel, E., Larska, Magdalena, Hamnes, S. I., Sviland, S., Hopp, Petter, Brugger, K., Rubel, F., Balenghien, T., Garros, C., Rakotoarivony, I., Allene, X., Lhoir, J., Delecolle, J. C., Mathieu, B., Delecolle, D., Setier-Rio, M. L., Venail, R., Scheid, B., Miranda Chueca, M. A., Barcelo Segui, C., Lucientes, J., Estrada, R., Wesley, Tack, Mathis, A., Bødker, Rene, Cuellar, Ana Carolina, Kjær, Lene Jung, Skovgaard, Henrik, Nielsen, Søren Archim, Stockmarr, Anders, Anderson, G., Lindström, Anders, Chirico, J., Lilja, T., Lühken, R., Steinke, S., Kiel, E., Larska, Magdalena, Hamnes, S. I., Sviland, S., Hopp, Petter, Brugger, K., Rubel, F., Balenghien, T., Garros, C., Rakotoarivony, I., Allene, X., Lhoir, J., Delecolle, J. C., Mathieu, B., Delecolle, D., Setier-Rio, M. L., Venail, R., Scheid, B., Miranda Chueca, M. A., Barcelo Segui, C., Lucientes, J., Estrada, R., Wesley, Tack, Mathis, A., and Bødker, Rene
- Abstract
Biting midges (Diptera, Ceratopogonidae) of the genus Culicoides are important vectors of pathogens causing diseases in free living and production animals and can lead to large economic losses in many European countries. In Europe, Culicoides imicola and the Obsoletus group are considered to be the main vectors of bluetongue virus that mostly affects ruminants such as cattle and sheep. Spatio-temporal modelling of vector distribution and abundance allows us to identify high risk areas for virus transmission and can aid in applying effective surveillance and control measures. We used presence-absence and monthly abundance data of Culicoides from 1005 sites across 9 countries (Spain, France, Denmark, Poland, Switzerland, Austria, Poland, Sweden, Norway) collected between the years 2007 and 2013. The dataset included information on the vector species abundance (number of specimens caught per night), GPS coordinates of each trap, start and end dates of trapping. We used 120 environmental predictor variables together with Random Forest machine learning algorithms to predict the overall species distribution (probability of occurrence) and monthly abundance in Europe. We generated maps for every month of the year, to visualize the abundance of C. imicola and Obsoletus group in Europe as well as distribution maps showing the probability of occurrence. We were able to create predictive maps of both Culicoides sp. occurrence and abundance using Random Forest models, and although the variance was large, the predicted abundance values for each site had a positive correlation with the observed abundance. We found relatively large spatial variations in probability of occurrence and abundance for both C. imicola and the Obsoletus group. For C. imicola probability of occurrence and abundance was higher in southern Spain, where as the Obsoletus group had higher probability of occurrence and abundance in central and northern Europe such as France and Germany. Temp
- Published
- 2017
4. Spartial Distribution and Abundance of Culicodes Imicola and Obsoletus Group in Europe
- Author
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Cuellar, Ana Carolina, Skovgård, Henrik, Nielsen, Søren Achim, Stockmarr, Anders, Anderson, G., Lindström, Anders, Chicrico, J, Lilja, T., Lühken, R., Steinke, S., Kiel, E., Larska, M., Hamnes, S.I., Sviland, S., Hopp, Petter, Brugger, K., Rubel, F., Balenghien, T., Garros, C., Rakotoarivony, I., Allene, X., Lhoir, J., Delécolle, J.C., Mathieu, B., Delecolle, D., Setier-Rio , M.L., Venail, R., Scheid, B., Miranda Chueca , M.A., Barcelo Segui, C., Lucientes, J., Estrada, R., Wesley, Tack, Mathis, A., Bødker, Rene, Cuellar, Ana Carolina, Skovgård, Henrik, Nielsen, Søren Achim, Stockmarr, Anders, Anderson, G., Lindström, Anders, Chicrico, J, Lilja, T., Lühken, R., Steinke, S., Kiel, E., Larska, M., Hamnes, S.I., Sviland, S., Hopp, Petter, Brugger, K., Rubel, F., Balenghien, T., Garros, C., Rakotoarivony, I., Allene, X., Lhoir, J., Delécolle, J.C., Mathieu, B., Delecolle, D., Setier-Rio , M.L., Venail, R., Scheid, B., Miranda Chueca , M.A., Barcelo Segui, C., Lucientes, J., Estrada, R., Wesley, Tack, Mathis, A., and Bødker, Rene
- Published
- 2016
5. Spartial Distribution and Abundance of Culicodes Imicola and Obsoletus Group in Europe
- Author
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Ana Carolina Cuellar, Henrik Skovgård, Søren Achim Nielsen, Anders Stockmarr, Anderson, G., Anders Lindström, Chicrico, J., Lilja, T., Lühken, R., Steinke, S., Kiel, E., Larska, M., Hamnes, S. I., Sviland, S., Petter Hopp, Brugger, K., Rubel, F., Balenghien, T., Garros, C., Rakotoarivony, I., Allene, X., Lhoir, J., Delécolle, J. C., Mathieu, B., Delecolle, D., Setier-Rio, M. L., Venail, R., Scheid, B., Miranda Chueca, M. A., Barcelo Segui, C., Lucientes, J., Estrada, R., Tack Wesley, Mathis, A., and Rene Bødker
6. Spatial distribution and abundance of culicoides imicola and obsolutes group in Europe
- Author
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Ana Carolina Cuellar, Henrik Skovgaard, Nielsen, S., Anders Stockmarr, Anderson, G., Anders Lindström, Chirico, J., Lilja, T., Lühken, R., Steinke, S., Kiel, E., Magdalena Larska, Hamnes, S. I., Sviland, S., Petter Hopp, Brugger, K., Rubel, F., Miranda Chueca, M. A., Balenghien, T., Garros, C., Rakotoarivony, I., Allene, X., Lhoir, J., Delecolle, J. C., Mathieu, B., Delecolle, D., Setier-Rio, M. L., Venail, R., Scheid, B., and Rene Bødker
7. CONTROL SYSTEM OF REACTORS BR 1 C.E.A.N., MOL, BELGIUM
- Author
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Lhoir, J
- Published
- 1958
8. CONTROL INSTALLATION OF THE BR 1 REACTOR
- Author
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Lhoir, J
- Published
- 1958
9. Modelling the monthly abundance of Culicoides biting midges in nine European countries using Random Forests machine learning.
- Author
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Cuéllar AC, Kjær LJ, Baum A, Stockmarr A, Skovgard H, Nielsen SA, Andersson MG, Lindström A, Chirico J, Lühken R, Steinke S, Kiel E, Gethmann J, Conraths FJ, Larska M, Smreczak M, Orłowska A, Hamnes I, Sviland S, Hopp P, Brugger K, Rubel F, Balenghien T, Garros C, Rakotoarivony I, Allène X, Lhoir J, Chavernac D, Delécolle JC, Mathieu B, Delécolle D, Setier-Rio ML, Scheid B, Chueca MÁM, Barceló C, Lucientes J, Estrada R, Mathis A, Venail R, Tack W, and Bødker R
- Subjects
- Animals, Climate, Ecosystem, Europe, Farms, Insect Vectors virology, Models, Theoretical, Seasons, Ceratopogonidae virology, Machine Learning, Population Dynamics
- 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 monthly abundances of Culicoides in Europe., Methods: We obtained entomological data from 904 farms in nine European countries (Spain, France, Germany, Switzerland, Austria, Poland, Denmark, Sweden and Norway) from 2007 to 2013. Using environmental and climatic predictors from satellite imagery and the machine learning technique Random Forests, we predicted the monthly average abundance at a 1 km
2 resolution. We used independent test sets for validation and to assess model performance., Results: The predictive power of the resulting models varied according to month and the Culicoides species/ensembles predicted. Model performance was lower for winter months. Performance was higher for the Obsoletus ensemble, followed by the Pulicaris ensemble, while the model for Culicoides imicola showed a poor performance. Distribution and abundance patterns corresponded well with the known distributions in Europe. The Random Forests model approach was able to distinguish differences in abundance between countries but was not able to predict vector abundance at individual farm level., Conclusions: The models and maps presented here represent an initial attempt to capture large scale geographical and temporal variations in Culicoides abundance. The models are a first step towards producing abundance inputs for R0 modelling of Culicoides-borne infections at a continental scale.- Published
- 2020
- Full Text
- View/download PDF
10. Monthly variation in the probability of presence of adult Culicoides populations in nine European countries and the implications for targeted surveillance.
- Author
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Cuéllar AC, Jung Kjær L, Baum A, Stockmarr A, Skovgard H, Nielsen SA, Andersson MG, Lindström A, Chirico J, Lühken R, Steinke S, Kiel E, Gethmann J, Conraths FJ, Larska M, Smreczak M, Orłowska A, Hamnes I, Sviland S, Hopp P, Brugger K, Rubel F, Balenghien T, Garros C, Rakotoarivony I, Allène X, Lhoir J, Chavernac D, Delécolle JC, Mathieu B, Delécolle D, Setier-Rio ML, Venail R, Scheid B, Chueca MÁM, Barceló C, Lucientes J, Estrada R, Mathis A, Tack W, and Bødker R
- Subjects
- Animal Distribution, Animals, Ceratopogonidae classification, Ceratopogonidae genetics, Ecosystem, Environment, Europe, Female, Male, Population Dynamics, Seasons, Time Factors, Ceratopogonidae physiology
- 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.
- Published
- 2018
- Full Text
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11. Spatial and temporal variation in the abundance of Culicoides biting midges (Diptera: Ceratopogonidae) in nine European countries.
- Author
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Cuéllar AC, Kjær LJ, Kirkeby C, Skovgard H, Nielsen SA, Stockmarr A, Andersson G, Lindstrom A, Chirico J, Lühken R, Steinke S, Kiel E, Gethmann J, Conraths FJ, Larska M, Hamnes I, Sviland S, Hopp P, Brugger K, Rubel F, Balenghien T, Garros C, Rakotoarivony I, Allène X, Lhoir J, Chavernac D, Delécolle JC, Mathieu B, Delécolle D, Setier-Rio ML, Venail R, Scheid B, Chueca MÁM, Barceló C, Lucientes J, Estrada R, Mathis A, Tack W, and Bødker R
- Subjects
- African Horse Sickness transmission, Animals, Bluetongue transmission, Europe, Farms, Geography, Population Density, Population Dynamics, Ruminants, Seasons, Species Specificity, Ceratopogonidae classification, Insect Vectors classification
- Abstract
Background: Biting midges of the genus Culicoides (Diptera: Ceratopogonidae) are vectors of bluetongue virus (BTV), African horse sickness virus and Schmallenberg virus (SBV). Outbreaks of both BTV and SBV have affected large parts of Europe. The spread of these diseases depends largely on vector distribution and abundance. The aim of this analysis was to identify and quantify major spatial patterns and temporal trends in the distribution and seasonal variation of observed Culicoides abundance in nine countries in Europe., Methods: We gathered existing Culicoides data from Spain, France, Germany, Switzerland, Austria, Denmark, Sweden, Norway and Poland. In total, 31,429 Culicoides trap collections were available from 904 ruminant farms across these countries between 2007 and 2013., Results: The Obsoletus ensemble was distributed widely in Europe and accounted for 83% of all 8,842,998 Culicoides specimens in the dataset, with the highest mean monthly abundance recorded in France, Germany and southern Norway. The Pulicaris ensemble accounted for only 12% of the specimens and had a relatively southerly and easterly spatial distribution compared to the Obsoletus ensemble. Culicoides imicola Kieffer was only found in Spain and the southernmost part of France. There was a clear spatial trend in the accumulated annual abundance from southern to northern Europe, with the Obsoletus ensemble steadily increasing from 4000 per year in southern Europe to 500,000 in Scandinavia. The Pulicaris ensemble showed a very different pattern, with an increase in the accumulated annual abundance from 1600 in Spain, peaking at 41,000 in northern Germany and then decreasing again toward northern latitudes. For the two species ensembles and C. imicola, the season began between January and April, with later start dates and increasingly shorter vector seasons at more northerly latitudes., Conclusion: We present the first maps of seasonal Culicoides abundance in large parts of Europe covering a gradient from southern Spain to northern Scandinavia. The identified temporal trends and spatial patterns are useful for planning the allocation of resources for international prevention and surveillance programmes in the European Union.
- Published
- 2018
- Full Text
- View/download PDF
12. How do species, population and active ingredient influence insecticide susceptibility in Culicoides biting midges (Diptera: Ceratopogonidae) of veterinary importance?
- Author
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Venail R, Lhoir J, Fall M, del Río R, Talavera S, Labuschagne K, Miranda M, Pagès N, Venter G, Rakotoarivony I, Allène X, Scheid B, Gardès L, Gimonneau G, Lancelot R, Garros C, Cêtre-Sossah C, Balenghien T, Carpenter S, and Baldet T
- Subjects
- Africa, Animals, Biological Assay, Europe, Insect Vectors classification, Insect Vectors drug effects, Organophosphates pharmacology, Parasitic Sensitivity Tests, Pyrethrins pharmacology, Survival Analysis, Ceratopogonidae classification, Ceratopogonidae drug effects, Insecticides pharmacology
- Abstract
Background: Culicoides biting midges are biological vectors of internationally important arboviruses of livestock and equines. Insecticides are often employed against Culicoides as a part of vector control measures, but systematic assessments of their efficacy have rarely been attempted. The objective of the present study is to determine baseline susceptibility of multiple Culicoides vector species and populations in Europe and Africa to the most commonly used insecticide active ingredients. Six active ingredients are tested: three that are based on synthetic pyrethroids (alpha-cypermethrin, deltamethrin and permethrin) and three on organophosphates (phoxim, diazinon and chlorpyrifos-methyl)., Methods: Susceptibility tests were conducted on 29,064 field-collected individuals of Culicoides obsoletus Meigen, Culicoides imicola Kieffer and a laboratory-reared Culicoides nubeculosus Meigen strain using a modified World Health Organization assay. Populations of Culicoides were tested from seven locations in four different countries (France, Spain, Senegal and South Africa) and at least four concentrations of laboratory grade active ingredients were assessed for each population., Results: The study revealed that insecticide susceptibility varied at both a species and population level, but that broad conclusions could be drawn regarding the efficacy of active ingredients. Synthetic pyrethroid insecticides were found to inflict greater mortality than organophosphate active ingredients and the colony strain of C. nubeculosus was significantly more susceptible than field populations. Among the synthetic pyrethroids, deltamethrin was found to be the most toxic active ingredient for all species and populations., Conclusions: The data presented represent the first parallel and systematic assessment of Culicoides insecticide susceptibility across several countries. As such, they are an important baseline reference to monitor the susceptibility status of Culicoides to current insecticides and also to assess the toxicity of new active ingredients with practical implications for vector control strategies.
- Published
- 2015
- Full Text
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13. Host-seeking activity of bluetongue virus vectors: endo/exophagy and circadian rhythm of Culicoides in Western Europe.
- Author
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Viennet E, Garros C, Rakotoarivony I, Allène X, Gardès L, Lhoir J, Fuentes I, Venail R, Crochet D, Lancelot R, Riou M, Moulia C, Baldet T, and Balenghien T
- Subjects
- Animals, Bluetongue prevention & control, Bluetongue virology, Bluetongue virus physiology, Circadian Rhythm physiology, Diptera classification, Diptera virology, Europe, Female, France, Host-Parasite Interactions, Host-Pathogen Interactions, Insect Bites and Stings physiopathology, Insect Vectors virology, Male, Seasons, Sheep, Species Specificity, Bluetongue transmission, Bluetongue virus growth & development, Diptera physiology, Insect Vectors physiology
- Abstract
Feeding success of free-living hematophagous insects depends on their ability to be active when hosts are available and to reach places where hosts are accessible. When the hematophagous insect is a vector of pathogens, determining the components of host-seeking behavior is of primary interest for the assessment of transmission risk. Our aim was to describe endo/exophagy and circadian host-seeking activity of Palaearctic Culicoides species, which are major biting pests and arbovirus vectors, using drop traps and suction traps baited with four sheep, as bluetongue virus hosts. Collections were carried out in the field, a largely-open stable and an enclosed stable during six collection periods of 24 hours in April/May, in late June and in September/October 2010 in western France. A total of 986 Culicoides belonging to 13 species, mainly C. brunnicans and C. obsoletus, was collected on animal baits. Culicoides brunnicans was clearly exophagic, whereas C. obsoletus was able to enter stables. Culicoides brunnicans exhibited a bimodal pattern of host-seeking activity with peaks just after sunrise and sunset. Culicoides obsoletus was active before sunset in spring and autumn and after sunset in summer, thus illustrating influence of other parameters than light, especially temperature. Description of host-seeking behaviors allowed us to discuss control strategies for transmission of Culicoides-borne pathogens, such as bluetongue virus. However, practical vector-control recommendations are difficult to provide because of the variation in the degree of endophagy and time of host-seeking activity.
- Published
- 2012
- Full Text
- View/download PDF
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