Our Goal

We aim to develop a powerful model for predicting the spread of COVID-19 both globally and across the United States. With both the temporal evolution and the spatial spread of the disease integrated in our model, we hope our prediction can provide some insights into the development of the pandemic and policies to control its spread.

Team Members

This project is from the Melady Lab at the University of Southern California. The key contributers are:

• Yan Liu, Associate Professor, Department of Computer Science, University of Southern California
• Nitin Kamra, Ph.D. Candidate, Department of Computer Science, University of Southern California
• Yizhou Zhang, Ph.D. Student, Department of Computer Science, University of Southern California
• Sirisha Rambhatla, Postdoc, Department of Computer Science, University of Southern California
• Chuizheng Meng, Ph.D. Student, Department of Computer Science, University of Southern California

Acknowledgement

We thank Johns Hopkins CSSE for providing the data for COVID-19 case reports, PlaceIQ for the US mobility data and openflights for the global flight route data.