2025_Dengue_WNV_vector_Models_modeledsuitability_EU

Abstract: Ensembled spatial models were produced for disease vectors by combining Random Forest and Boosted Regression Trees spatial modelling outputs, implemented using the VECMAP modelling suite, using a standard set of covariates including Fourier Processed Remotely Sensed environmental variables, land use proportions, human population and elevation. The training data offered to the model process include point location and polygon data from the VectorNet project (https://www.ecdc.europa.eu/en/about-us/partnerships-and-networks/disease-and-laboratory-networks/vector-net), from the Global Biodiversity Information Facility (www.gbif.org) and a series of national databases. Absence data assembled from absence records, complemented by points assigned to unsuitable areas defined by environmental and climatic thresholds obtained from experts or from the literature These models are updates of the ones provided at: https://zenodo.org/records/11187301 Potential Dengue Vectors (Regional = Aedes albopictus, Aedes caspius). Models provided as Mean, Minimum, Maximum and Standard Deviation. Aedes detritus provided only as MEAN, masked by the suitability layer. Values are the probability of presence. Filename e4DENGUEVECTORMODELSUPDATE2025.zip Potential WNV vectors (Global=Culex pipiens, ). Model provided as Mean, Minimum, Maximum and Standard Deviation. Values are the probability of presence. Filename e4WNVVECTORMODELSUPDATE2025.zip