Community venue exposure risk estimator for the COVID-19 pandemic

Ziheng Sun

Ziheng Sun (George Mason University) and team proposed a new index based on birthday paradox algorithm and venue traffic data to act as an alternative to contact tracing. Experiments on the data of the past months has proven that the score successfully warns early signs of outbreaks in COVID hot spots like Navajo Nation, New York, Georgia and Louisiana. Spatial correlation analysis shows the proposed score has significant positive relationship with new cases in next two weeks, and the correlation becomes stronger in the reopening stage.

Other seminars

Quantifying the economic impact of disasters on businesses using human mobility data: a Bayesian causal inference approach

Takahiro Yabe

What Do Two Million Credit Lines Say About the FinTech Fragility?

Difang Huang

Modeling COVID-19 in the Context of Optimizing Quarantine Policy Using Mobility Patterns

Leila Hedayatifar, Olha Buchel

Investigating the Covid-19 Surge in Rural America

Andrea Fuller and Ryan Fox Squire