2020
DOI: 10.5334/ohd.33
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VectorNet Data Series 3: <i>Culicoides</i> Abundance Distribution Models for Europe and Surrounding Regions

Abstract: This is the third in a planned series of data papers presenting modelled vector distributions produced during the ECDC and EFSA funded VectorNet project. The data package presented here includes those Culicoides vectors species first modelled in 2015 as part of the VectorNet gap analysis work namely C. imicola, C. obsoletus, C. scoticus, C. dewulfi, C. chiopterus, C. pulicaris, C. lupicaris, C. punctatus, and C. newsteadi. The known distributions of these species within the Project area (Europe, the Mediterran… Show more

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Cited by 4 publications
(3 citation statements)
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“…The classification of biting midges is still poorly defined [ 50 ]. Consequently, for the purposes of this study, some species will be clustered together in “groups”, as defined by French research teams [ 9 – 12 ]. These groups have no taxonomic significance but allow the classification of species present in France.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The classification of biting midges is still poorly defined [ 50 ]. Consequently, for the purposes of this study, some species will be clustered together in “groups”, as defined by French research teams [ 9 – 12 ]. These groups have no taxonomic significance but allow the classification of species present in France.…”
Section: Resultsmentioning
confidence: 99%
“…In our systematic review, 98 The classification of biting midges is still poorly defined [50]. Consequently, for the purposes of this study, some species will be clustered together in "groups", as defined by French research teams [9][10][11][12]. These groups have no taxonomic significance but allow the classification of species present in Similarly, morphologically related species grouped together in some publications will be processed together: Culicoides cataneii/gejgelensis (C. cataneii and C. gejgelensis).…”
Section: Insecta Diptera Nematocera Culicidae: Mosquitoesmentioning
confidence: 99%
“…Here, the data they provide are used as reference and background information to illustrate the extent of disease risk at continental level, support investment in surveillance and control and feed media outlets. On a more technical level, the polygon and point data on which the maps are built have also underpinned a large number of spatial distribution models for many species or risk assessment of specific diseases [29][30][31][32]. Both models and maps are also useful to target regional, national and even subnational surveillance, although detailed surveillance recommendations are likely to require higher resolution than NUTS3.…”
Section: Discussionmentioning
confidence: 99%