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Modelling COVID-19 spreading in closed environments using an agent-based approach and fluid mechanic

de Montigny, Jean; Rozanova, Liudmila; Temerev, Alexander; Breitwieser, Lukas; Rademakers, Fons

It is critically important to evaluate the risk of infection transmission for the people in the same space in different conditions. Available models do not simulate simultaneously the movement of people, turbulence of airflows and trajectory of viral particles. Many studies are focusing on detailed simulation of droplet/aerosol spreading, but with either fully static individuals, or with mobile single individuals. Some studies simulated agent movement alongside virus spreading, but using only a simplistic diffusion mechanism.

Thus, simulating multiple agents displacement alongside detailed virus particles spreading would be a valuable contribution to the field.

We are developing a new model and computational tools for high-quality airflow modelling based on BioDynaMo and OpenLB, simulating multiple agents’ displacement and aerosol and droplets spreading.

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