Modelling aerosol-based exposure to SARSCoV-2 by an agent based Monte Carlo method: Risk estimates in a shop and bar

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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

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en

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12

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PloS One, Volume 16, issue 11

Abstract

Present day risk assessment on the spreading of airborne viruses is often based on the classical Wells-Riley model assuming immediate mixing of the aerosol into the studied environment. Here, we improve on this approach and the underlying assumptions by modeling the space-time dependency of the aerosol concentration via a transport equation with a dynamic source term introduced by the infected individual(s). In the present agent-based methodology, we study the viral aerosol inhalation exposure risk in two scenarios including a low/high risk scenario of a “supermarket”/“bar”. The model takes into account typical behavioral patterns for determining the rules of motion for the agents. We solve a diffusion model for aerosol concentration in the prescribed environments in order to account for local exposure to aerosol inhalation. We assess the infection risk using the Wells-Riley model formula using a space-time dependent aerosol concentration. The results are compared against the classical Wells-Riley model. The results indicate features that explain individual cases of high risk with repeated sampling of a heterogeneous environment occupied by non-equilibrium concentration clouds. An example is the relative frequency of cases that might be called superspreading events depending on the model parameters. A simple interpretation is that averages of infection risk are often misleading. They also point out and explain the qualitative and quantitative difference between the two cases—shopping is typically safer for a single individual person.

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Publisher Copyright: © 2021 Salmenjoki et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Salmenjoki, H, Korhonen, M, Puisto, A, Vuorinen, V & Alava, M J 2021, 'Modelling aerosol-based exposure to SARSCoV-2 by an agent based Monte Carlo method: Risk estimates in a shop and bar', PloS One, vol. 16, no. 11, 0260237. https://doi.org/10.1371/journal.pone.0260237