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DIRE is helping countries get ahead of dengue/malaria outbreaks🦟 Using a machine learning framework developed by @esa.int Φ-lab for UNICEF, the platform combines climate & epidemiological data to predict dengue/malaria risk and estimate the resources needed to respond: philab.esa.int/using-%CF%86...
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Using Φ-lab’s machine learning algorithms to fight mosquito-borne outbreaks in Brazil and Peru - ESA Φ-lab
As the number of dengue and malaria cases rises each year, governments and health authorities are in a race against time. DIRE (Digital Incidence and […]
philab.esa.int
ESA Earth Observation