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110 * ! Mon, 8/9/2021, 1:30 PM - 3:20 PM Virtual
Spatio-Temporal Modeling of the COVID-19 Pandemic: Statistics, Data, and the Stories They Tell — Invited Papers
Section on Statistics in Epidemiology, International Statistical Institute, Canadian Statistical Sciences Institute
Organizer(s): Ying C MacNab, University of British Columbia
Chair(s): Ying C MacNab, University of British Columbia
1:35 PM Use of Time-Varying Contact Data in Endemic-Epidemic Modeling of COVID-19 Incidence
Leonard Held, University of Zurich
2:00 PM A Latent Spatial Model for Pandemic Prediction
Marcos O. Prates, Universidade Federal de Minas Gerais
2:25 PM Spatio-Temporal Bayesian Modeling of County-Level COVID-19 Incidence in South Carolina
Andrew Booth Lawson, Medical University of South Carolina; Joanne Kim, Medical University of South Carolina
2:50 PM Geographical Trends in the COVID-19 Epidemic in Belgium
Christel Faes, Hasselt University
3:15 PM Floor Discussion