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Fig. 4 | International Journal of Health Geographics

Fig. 4

From: Different environmental factors predict the occurrence of tick-borne encephalitis virus (TBEV) and reveal new potential risk areas across Europe via geospatial models

Fig. 4

Spatial distributions and magnitudes of a subset of individual predictors within environmental variable categories of topography, climate, animal hosts, and rodent reservoirs for machine-learning models. Regional disparities across the modeled regions can be seen in the maps for the individual predictors of elevation (A), “mean daily temperature in driest annual quarter” (B), “mean ratio days per month > 5 °C” (C), “total annual ‘wet’ days” (D), and relative suitability of fallow deer (Dama dama) (E) and yellow-necked mouse (Apodemus flavicollis) (F). Further details on the definitions of individual predictor variables are provided in File S2

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