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Simulation and Visualization of Virus Transmission for Architectural Design Analysis

Published: 06 August 2021 Publication History

Abstract

The COVID-19 pandemic has made virus transmission a significant factor in designing buildings to ensure a safe and resilient environment. Simulation has been applied to analyze the potential risk of virus transmission within built spaces. Still, most existing simulations focused on a small region of the building, over a short period of time. Here we cover how we leveraged an occupancy simulation to inform and visualize the longitudinal impacts of virus transmission, in relation to a given building design and associated dynamic occupant behaviours. The flexibility of our system makes our simulation scalable and adaptable so that it can be applied to any building or context, with various types of occupants.

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References

[1]
Siyao Shao, Dezhi Zhou, Ruichen He, Jiaqi Li, Shufan Zou, Kevin Mallery, Santosh Kumar, Suo Yang, and Jiarong Hong. 2021. Risk assessment of airborne transmission of COVID-19 by asymptomatic individuals under different practical settings. Journal of Aerosol Science 151 (2021), 105661. https://doi.org/10.1016/j.jaerosci.2020.105661
[2]
Robert West, Susan Michie, G. James Rubin, and Richard Amlôt. 2020. Applying principles of behaviour change to reduce SARS-CoV-2 transmission. Nature Human Behaviour 4, 5 (01 May 2020), 451–459. https://doi.org/10.1038/s41562-020-0887-9
[3]
Andrew D. Wilson. 2020. Combating the Spread of Coronavirus by Modeling Fomites with Depth Cameras. Proc. ACM Hum.-Comput. Interact. 4, ISS, Article 203 (Nov. 2020), 13 pages. https://doi.org/10.1145/3427331

Cited By

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  • (2021)Semantic-Linked Data Ontologies for Indoor Navigation System in Response to COVID-19ISPRS International Journal of Geo-Information10.3390/ijgi1009060710:9(607)Online publication date: 14-Sep-2021

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Published In

cover image ACM Conferences
SIGGRAPH '21: ACM SIGGRAPH 2021 Talks
July 2021
116 pages
ISBN:9781450383738
DOI:10.1145/3450623
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 August 2021

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Author Tags

  1. simulation
  2. virus transmission

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  • Invited-talk
  • Research
  • Refereed limited

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SIGGRAPH '21
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Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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Cited By

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  • (2021)Semantic-Linked Data Ontologies for Indoor Navigation System in Response to COVID-19ISPRS International Journal of Geo-Information10.3390/ijgi1009060710:9(607)Online publication date: 14-Sep-2021

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