Quantifying the Potential of Covid-19 Transmission Across Scales

Explore a seminar presentation on quantifying Covid-19 transmission potential across different scales using advanced computational models. Delve into the research of Som Dutta from Utah State University, who discusses the use of high-order SEM-based Navier-Stokes solvers and the Covid-19 Exposure Assessment Tool (CEAT) to understand respiratory aerosol dispersion and design effective mitigation strategies. Learn about the primary modes of SARS-CoV-2 transmission, the physics of aerosol dispersal in indoor environments, and the application of cutting-edge computing and data-driven methods to bridge scales and heterogeneities in pandemic preparedness. Gain insights into how this research, funded by DOE's National Virtual Biotechnology Laboratory, has aided NASA Ames administrators in developing mitigation strategies and contributed to our understanding of respiratory infectious disease transmission.