Health and Human Services (HHS) Epidemiology Studies
Investigators: Diana Wong, Nick Robison
Affiliation: U.S. Department of Health and Human Services
This team is using GCM, an agent-based epidemiological model being used by FEMA, to inform policymakers about the number of COVID-19 cases that are projected to occur in various regions, the need for medical resources, and to understand the impact of social distancing and other interventions. The code is written in Java using shared memory parallelism, and while individual states can be modeled on standard computing nodes, a model of the entire US, which includes interactions between states, requires very large memory. NERSC worked with the GCM team to run a COVID19 simulation for the full U.S. population on a terabyte memory system, which will be used to compare and validate the stay-by-state models that are run frequently for different scenarios. The team is also developing county level mobility and population movement estimates.
About NERSC and Berkeley Lab
The National Energy Research Scientific Computing Center (NERSC) is a U.S. Department of Energy Office of Science User Facility that serves as the primary high-performance computing center for scientific research sponsored by the Office of Science. Located at Lawrence Berkeley National Laboratory, the NERSC Center serves more than 7,000 scientists at national laboratories and universities researching a wide range of problems in combustion, climate modeling, fusion energy, materials science, physics, chemistry, computational biology, and other disciplines. Berkeley Lab is a DOE national laboratory located in Berkeley, California. It conducts unclassified scientific research and is managed by the University of California for the U.S. Department of Energy. »Learn more about computing sciences at Berkeley Lab.