Climate change-related extreme weather, such as massive flooding and prolonged drought, often result in dangerous outbreaks of diarrheal diseases particularly in less developed countries, where diarrheal diseases is the third leading cause of death among young children. Now a study out Oct. 22, 2024, in Environmental Research Letters by an international team of investigators led by senior author from University of Maryland’s School of Public Health (UMD SPH) Amir Sapkota, offers a way to predict the risk of such deadly outbreaks using AI modeling, giving public health systems weeks or even months to prepare and to save lives.