Israel-based Zzapp Malaria is working to use AI to analyze satellite data and online databases and optimize localized responses such as spraying pesticides.
Despite how widespread and devastating malaria has proven to be, the team identified that limited resources and expertise, as well as unreliable infrastructure, inhibited every malaria eradication campaign in Africa to date. That’s why Zzapp Malaria is taking a personalized approach. They propose to generate optimized intervention strategies for individual villages and towns by using machine learning to analyze satellite images (past and present) and information from online databases to better predict the impact of malaria interventions for different conditions and environments.
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