CS3c: Panel: Advanced Modeling for Spatial and Longitudinal Health and Environmental Data

This session highlights cutting-edge statistical methods for the analysis of complex spatial, temporal, and longitudinal data, with application of these methods to address urgent public health and environmental challenges. Presentations span a range of applications, including the opioid crisis in the U.S., dengue transmission in Ecuador, sea surface temperature projections over the Great Barrier Reef, and the progression of rare immune disorders. Talks feature Bayesian hierarchical and spatio-temporal models to integrate misaligned and multi-scale data, downscale high-resolution climate projections, and uncover nuanced disease dynamics often hidden in aggregate data. Collectively, the session emphasizes how advanced modeling approaches can yield actionable insights for targeted environmental and public health interventions and policy.