Platform for Experimentation with Indoor Spatial Models of COVID-19 [Funder: Carleton University COVID-19 Rapid Research Response Grants]

In recent years, we built various simulation models based on the traditional Susceptible-Infected-Recovered (SIR) equations that are being used worldwide to predict the pandemic dynamics. We also have experience on integrating simulations and complex spatial visualization engines to allow decision makers to study how the virus spreads. This research will study how viruses expand indoors. We will use detailed 3D models of the buildings on campus and adaptations of the SIR model for indoor environments. We will also study how the virus expands on larger areas. We will use Geographical Information Systems and Carleton's Digital Campus map to build spatial versions of the SIR model with adaptations and improvements. The models will be available through the web for remote collaboration and for use by decision makers. This tool will permit studying different strategies for returning to campus at the end of the pandemic and for dealing with future outbreaks.