Necessity of ventilation for mitigating virus transmission quantified simply
Eric G. Blackman, Gourab Ghoshal

TL;DR
This paper uses simple models based on transport and diffusion principles to quantify how ventilation, such as open windows, reduces virus transmission risk in indoor spaces with turbulent air, providing practical safety estimates.
Contribution
It introduces minimalist, order-of-magnitude models to estimate the impact of ventilation on virus transmission risk in turbulent indoor environments.
Findings
Open windows significantly reduce infection risk.
Minimum ventilation area depends on viral load ratio.
Turbulence initially reduces but eventually increases exposure risk.
Abstract
To mitigate the SARS-CoV-2 pandemic, officials have employed social distancing and stay-at-home measures, with increased attention to room ventilation emerging only more recently. Effective distancing practices for open spaces can be ineffective for poorly ventilated spaces, both of which are commonly filled with turbulent air. This is typical for indoor spaces that use mixing ventilation. While turbulence initially reduces the risk of infection near a virion-source, it eventually increases the exposure risk for all occupants in a space without ventilation. To complement detailed models aimed at precision, minimalist frameworks are useful to facilitate order of magnitude estimates for how much ventilation provides safety, particularly when circumstances require practical decisions with limited options. Applying basic principles of transport and diffusion, we estimate the time-scale for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsInfection Control and Ventilation · COVID-19 epidemiological studies · Evacuation and Crowd Dynamics
