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462 Thu, 8/6/2020, 10:00 AM - 2:00 PM Virtual
Novel Spatial and Spatio-Temporal Models in Public Health — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Abhi Datta, Johns Hopkins University
Detecting Disease Clusters Across Space and Time Using Model Averaging
Maria Kamenetsky, University of Wisconsin-Madison; Ronald Gangnon, University of Wisconsin-Madison
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
Treed Distributed Lag Nonlinear Models
Daniel Mork, Colorado State University; Ander Wilson, Colorado State University
A Bayesian Hierarchical Model for Estimating Personal Exposure to Traffic-Related Air Pollution Using Personal and Ambient Data
Jenna Krall, George Mason University
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
Measuring Cumulative Exposure to Extensive Environmental Hazards
Rob Trangucci
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
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