Modeling of the effects of NPIs in COVID-19 transmission
Browse visualizations here: covid19-mobility-vis
MOVE starts a new interdisciplinary collaboration with the UCSB Geography, Computer Science, Statistics and Applied Probability Departments, and the Information Systems and Modeling Group of the Los Alamos National Lab. The research is funded by VCR COVID-19 Seed Grants Program. The aim is to develop data-driven and knowledge-driven approaches to learn and model spatial and socioeconomic heterogeneity in exposure to COVID-19 and study the relationships between non-pharmaceutical interventions (NPIs) in terms of mobility and interaction and virus transmission at multiple geographic scales. Graduate students who are involved in this projects are: Evgeny Noi, Zijian Wan, and Vania Wang.