Deep learning with multiscale spatial context improves global dengue suitability mapping
A deep-learning framework for presence-only data that estimates relative disease suitability by comparing the environmental conditions surrounding reported occurrences with those sampled across the wider study area is presented and demonstrates that multiscale spatial context can improve estimates of relative dengue su...