Predicting the spatiotemporal distribution of dengue fever outbreak using machine learning and remote sensing (IMAGE)

Sophia University

Predicting the spatiotemporal distribution of dengue fever outbreak using machine learning and remote sensing

Caption

Climate change is making outbreaks zoonotic diseases, such as dengue fever, more frequent in Chinese Taiwan. Leveraging climatic data and artificial intelligence models could be a convenient strategy to predict the most likely time and place of future outbreaks, helping local governments give out early warnings to potentially affected areas.

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Sumiko Anno of Sophia University

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