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The study integrates climate, land use, and socioeconomic data to explain and predict malaria dynamics at the village level. The approach could inform health care practitioners and make control strategies more efficient and cost-effective.

Julie pourtoisAndres garchitorenaStanford school of humanitiesFrench research institute for sustainable developmentWorld health organizationGlobal public healthStanford doerr school of sustainabilityMadagascar national institute of statisticsPublic healthGetty imagesStanford schoolMadagascar national instituteGiulio de leoStanford doerr schoolFrench research instituteSustainable development