In a new study published in Environmental Research Letters, an international team of investigators led by Professor Amir Sapkota offered a way to predict the risk of deadly diarrhea outbreaks using AI modeling, giving public health systems weeks or even months to prepare and to save lives.
“The early warning systems outlined in this research will enable public health practitioners to enhance community resilience against health threats posed by climate change,” Sapkota said.