SENTINEL-Dengue ASEAN-11: An AI-Powered Climate–Geospatial Intelligence System for Dengue Early Warning and Surveillance Prioritization Across Southeast Asia
SENTINEL-Dengue ASEAN-11 proposes integrating case counts, climate, satellite vegetation, population, surface water and explainable models across 11 Southeast Asian countries, with spatial and temporal validation and risk-uncertainty classes. The abstract primarily describes a proposed architecture and dataset rather than reporting predictive performance, so it should be read as a framework, not a validated operational system.