Mapping Human Mobility Changes and Geospatial Modeling of COVID-19 Spread
- Song Gao will showcase his project findings as a Geospatial Fellow for advancing COVID-19 research and education
- Kathleen Stewart will serve as a discussant for the webinar
Song Gao
University of Wisconsin-Madison
Kathleen Stewart
University of Maryland
Song Gao University of Wisconsin-Madison
Mapping Human Mobility Changes and Geospatial Modeling of COVID-19 Spread
To contain the COVID-19 spread, one of the nonpharmaceutical interventions is physical (social) distancing. An interactive web-based mapping platform, which provides up-to-date mobility and close contact information using large-scale anonymized mobile phone location data in the US, was developed and maintained by the GeoDS Lab at UW-Madison. Using the multiscale human mobility origin-to-destination (OD) flow data, a novel mobility-augmented epidemic model was further 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.
Song Gao is an Assistant Professor in Geographic Information Science at the University of Wisconsin-Madison, where he leads the GeoDS Lab. He holds a Ph.D. degree at the University of California Santa Barbara. His main research interests include Place-Based GIS, Human Mobility, and GeoAI for Social Sensing. He is the author of 50+ publications with 3500+ Google Scholar citations in prominent journals and conferences. He is the principal investigator of multiple research grants from NSF, Wisconsin Alumni Research Foundation, Microsoft and geospatial industry partners. He currently serves as the Associate Editor of Annals of GIS, Editorial Board Member of Scientific Reports, PLOS ONE, Cartography and Geographic Information Science, the Academic Director of AAG Geographic Information Science and Systems Specialty Group, and the President-Elect of CPGIS. He was the recipient of the ‘Waldo Tobler Young Researcher Award’ in GIScience, among other awards.
Kathleen Stewart University of Maryland
Kathleen Stewart is Professor in the Department of Geographical Sciences and Director of the Center for Geospatial Information Science at the University of Maryland. She works in the area of geographic information science where she is interested in mobility and spatial access, often in a big geospatial data context and using approaches that lie in the expanding field of spatial data science. She investigates movement and mobility for a number of different application domains, for example, health and transportation where movement patterns and geospatial dynamics are key topics. She is also interested in modeling geospatial semantics including geospatial ontologies and their role for location-based applications. She serves as a member of the Mapping Science Committee of the National Academies of Sciences, Engineering and Medicine and is a member of the editorial board of The International Journal of Geographical Information Science, Transactions in GIS, Geographical Analysis, the Journal of Spatial Information Science, the International Journal of Geo-Information, and Geomatics.
Mapping Human Mobility Changes and Geospatial Modeling of COVID-19 Spread
Description
Date: Mon, May 10, 2021
Time: 4:00 - 5:00 pm U.S. Central Time
Status: Event Ended
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