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462
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Thu, 8/6/2020,
10:00 AM -
2:00 PM
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Virtual
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Novel Spatial and Spatio-Temporal Models in Public Health — Contributed Papers
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Section on Statistics in Epidemiology
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Chair(s): Abhi Datta, Johns Hopkins University
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Detecting Disease Clusters Across Space and Time Using Model Averaging
Maria Kamenetsky, University of Wisconsin-Madison; Ronald Gangnon, University of Wisconsin-Madison
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Recognizing Differential Incidence Intensity of Geographical Disease Clusters Allowing for Confounding Variables
Chih-Chieh Wu, National Cheng Kung University; Sanjay Shete , The University of Texas MD Anderson Cancer Center
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Treed Distributed Lag Nonlinear Models
Daniel Mork, Colorado State University; Ander Wilson, Colorado State University
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A Bayesian Hierarchical Model for Estimating Personal Exposure to Traffic-Related Air Pollution Using Personal and Ambient Data
Jenna Krall, George Mason University
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A Bayesian Spatio-Temporal Abundance Model for Surveillance of the Opioid Epidemic
David Kline, Ohio State University; Lance Waller, Emory University; Staci Hepler, Wake Forest University
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Measuring Cumulative Exposure to Extensive Environmental Hazards
Rob Trangucci
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An Individual Level Infectious Disease Model in the Presence of Uncertainty from Multiple, Imperfect Diagnostic Tests
Caitlin Ward, University of Iowa; Grant Brown, University of Iowa; Jacob J Oleson, University of Iowa, Department of Biostatistics
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Modeling Regional Disease Spread Over Time Using a Dynamic Spatio-Temporal Model -- with an Application to Porcine Epidemic Diarrhea Virus Data in Iowa, U.S
Ju Ji, Iowa State University; Chong Wang, Iowa State University; Jeffrey J Zimmerman, Iowa State University; Marisa L Rotolo, Iowa State University
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