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Can artificial intelligence predict spatiotem

Cases of dengue fever and other zoonotic diseases will keep increasing owing to climate change, and prevention via early warning is one of our best options against them. Recently, researchers combined a machine learning model with remote sensing climatic data and information on past dengue fever cases in Chinese Taiwan, with the aim of predicting likely outbreak locations. Their findings highlight the hurdles to this approach and could facilitate more accurate predictive models. ....

Hirakawa Tsubasa , Shinya Yasumoto , Sumiko Anno , Satoru Sugita , Yoshinobu Sasaki , Kei Oyoshi , Japan Aerospace Exploration Agency , Method Of Research , Chubu University , Centre Of Excellence , Chubu Institute For Advanced , Sophia University , Chinese Taiwan Centre For Disease , School Of Global Environmental , Earth Observation Research Center , Department Of Environmental Biology , National Taiwan Ocean University , Chinese Taiwan , Professor Sumiko Anno , Geo Spatial Information Science , Ming An Lee , Chinese Taiwan Centre , Geo Spatial Information , Global Environmental Studies , Advanced Studies , Ocean Engineering ,