Join the Department of Social Sciences for a Great Problems, Great Minds seminar series event featuring guest speaker Xiaobai “Angela” Bai, professor of geography at the Franklin College of Arts and Sciences at the University of Georgia. Her major research interests focus on geospatial data science, network analysis, and particularly the applications of geospatial techniques to study human dynamics and public health problems. She is currently president-elect of the Cartography and Geographic Information Society and a board member of the University Consortium for Geographic Information Science. She also chairs the International Cartographic Association’s Commission on Geospatial Analysis Modeling.
This event will take place on November 17 beginning at 12:40 p.m. via Zoom.
The variations of COVID-19 occur both geographically and temporally. Thus, a proper measure of the transmissibility of COVID-19 should be time- and place-specific, which is currently unavailable. This presentation provides a developed modeling framework to estimate the effective production number of COVID-19 based on daily reported case data. Following this modeling framework, this presentation introduces a spatiotemporal database of transmissibility values at the county level in the United States. Then we investigate the spatiotemporal variability of transmissibility and its relationships with geographical context factors using several machine learning techniques. The model performances and empirical findings will be discussed.
This event is part of the Great Problems, Great Minds seminar series that explores the major problems facing humanity as we move into the heart of the twenty-first century.
For more information, contact Assistant Professor of Social Sciences Hao Huang at hhuang48@iit.edu.