Aims to model the spread of the virus and the impact that a pandemic could have on critical social services (police, fire, healthcare, etc.) in communities, regions, and countries. We are scaling agent-based models (used successfully for many years for modelling Ebola, Zika, and other outbreaks) to model the behaviour of large populations at the individual level in order to test models of infection, transmission, disease, outcome, and recovery. Our models can account for person-to-person contact and flows of people to/from work, school, shopping, etc. Using DOE supercomputers, we can model entire cities with millions of individuals and test both hypotheses concerning transmission and policies for reducing rates of transmission, as well as understanding the impact of loss of staffing for critical services. The first version of the ChiCOVID model (ChiCOVID v1) include the individual disease progression within each agent.
CoE: ComBioMed
The website is operated as part of the CASTIEL 2 project. This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101102047. The JU receives support from the European Union‘s Digital Europe Programme and Germany, Italy, Spain, France, Belgium, Austria, Estonia.