A spatiotemporal U-Net++ deep learning framework for dengue risk mapping in Colombia.
Daira Velandia +6
Understanding dengue dynamics from a spatiotemporal perspective has become increasingly relevant in recent years, as it allows the identification of factors influencing disease transmission, including climatic conditions, human behavior, and the distribution of Aedes aegypti, the primary vector responsible for dengue virus transmission in tropical and subtropical regions.
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