Researchers develop highly accurate modeling tool to predict Covid-19 risk

Researchers at USC have combined location density with real-world mobility data to predict the risk of infection from Covid-19 at specific locations with unprecedented accuracy.

As new coronavirus variants emerge and quickly spread around the globe, both the public and policymakers are faced with a quandary: maintaining a semblance of normality, while also minimizing infections. While digital contact tracing apps offered promise, the adoption rate has been low, due in part to privacy concerns.

Read the article here: viterbischool.usc.edu/news/2022/01/researchers-develop-highly-accurate-modeling-tool-to-predict-covid-19-risk/