High Performance Simulations to Support Real-time COVID19 Response

Abstract

The COVID-19 pandemic represents an unprecedented global crisis and serves as a reminder of the social, economic and health burden of infectious diseases. The ongoing trends towards urbanization, global travel, climate change and a generally older and immuno-compromised population continue to make epidemic planning and control challenging. Recent advances in computing, AI, and bigdata have created new opportunities for realizing the vision of real-time epidemic science. In this talk I will describe our group's work developing scalable and pervasive computing-based concepts, theories and tools for planning, forecasting and response in the event of epidemics. I will draw on our work in supporting federal agencies as they plan and respond to the COVID-19 pandemic outbreak. I will end the talk by outlining directions for future work.