Bayesian Spatio-Temporal Modeling for Environmental Monitoring and Epidemiology: Disaggregation and Disease Spread Dynamics Fernando Rodriguez Avellaneda, Ph.D. Student, Statistics May 14, 14:00 - 16:00 B3 R5220
Towards an Early Warning System for Climate-Sensitive Infectious Diseases: Spatio-Temporal Modeling and Deep Learning for Dengue Forecasting in Brazil Xiang Chen, Ph.D. Student, Statistics Apr 30, 13:00 - 16:00 B5 R5209 spatio-temporal modeling geospatial statistics infectious disease explainable AI Public Health climate data deep learning computational predictions
Disease Nowcasting Using Integrated and Adaptive Statistical Models Yang Xiao, Ph.D. Student, Statistics Apr 28, 10:00 - 12:30 B5 R5220; Zoom Meeting 93296195795 Adaptive modeling Public Health bayesian inference
Advanced Spatial Methods for Health Surveillance in Saudi Arabia: Data Integration and Cluster Detection Hanan Alahmadi, Ph.D. Student, Statistics May 29, 15:00 - 16:00 Building 5, Seaside, Level 5, Room 5209
Spatial and Spatio-temporal Statistical Methods for Environment and Public Health Applications Andre Victor Ribeiro Amaral , Ph.D. Student, Statistics Nov 2, 11:45 - 14:30 B9 L4 R4225