Statistics Seminar

To contain the COVID-19 spread, one of the nonpharmaceutical interventions is physical (social) distancing. An interactive web-based mapping platform, which provides daily human mobility information using large-scale anonymized mobile phone location data in the US, was developed by the Geospatial Data Science Lab at UW-Madison. Using such multiscale origin-to-destination (OD) travel flow data, a novel mobility-augmented epidemic model was developed to help analyze the COVID-19 spread dynamics at multiple geographical scales (e.g., state, county, and neighborhood), inform public health policy, and deepen our understanding of human behavior under the unprecedented public health crisis.