A multidisciplinary team of Arizona State University researchers with expertise in networked systems, time-series modeling, statistical modeling, machine learning and geospatial analysis received Rapid Response Research (RAPID) funding from the National Science Foundation to develop a data-driven model for predicting the spread of COVID-19 over time across different locations. The model is intended to help communities proactively design intervention measures to combat diseases.
Data-driven disease modeling could improve regional response
