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