Google Earth AI finds at-risk groups during disease outbreaks: in the DR Congo it found 45,500 people at risk of Ebola in minutes
Prepared by Sintelligent with the help of SI. Publication time restored from the build log. . Updated: .
SI compresses weeks of epidemiologists' work into minutes, where speed saves lives.
The system combines satellite imagery, movement data and foundation models, including the PDFM population dynamics model, a geospatial reasoning agent and a forecasting engine. According to Google, during the Ebola response in the DR Congo it found 45,500 people in mining corridors and 48 affected villages for mobile laboratories in minutes, work that usually takes weeks. Other tasks include forecasting heart disease mortality with NYU Langone, tracking vaccination and seasonal dengue forecasting in Mexico; PDFM embeddings are available in Google Maps Platform, and researchers and nonprofits have free access.
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