Please mark your calendars and plan to attend the first Seminar Series of the year.

Mapping Multiscale Human Mobility Changes and Geospatial Modeling of COVID-19 Spread
presented by

Dr. Song Gao,
Director of Geospatial Data Science Lab, University of Wisconsin-Madison

Thursday, January 14, 2021, 12:30 pm PST via Zoom.
(Email IMCI or IBEST for the Passcode.)

Abstract: To contain the COVID-19 spread, one of the non-pharmaceutical interventions is social distancing. An interactive web-based mapping platform that provides up-to-date mobility information on how people in different counties and states reacted to the social distancing and stay-at-home orders was developed by the GeoDS Lab at UW-Madison. The web portal integrates geographic information systems (GIS) and daily updated human mobility statistical patterns derived from large-scale anonymized and aggregated smartphone location big data in the United States. A mobility-augmented compartmental epidemic model is developed to help monitor COVID-19 spreading dynamics, inform public health policy, and deepen our understanding of human behavior impacts under the unprecedented public health crisis.