Predictive and retrospective modelling of airborne infection risk using monitored carbon dioxide

Burridge, HC, Fan, S, Jones, RL et al. (2 more authors) (2022) Predictive and retrospective modelling of airborne infection risk using monitored carbon dioxide. Indoor and Built Environment, 31 (5). pp. 1363-1380. ISSN 1420-326X

Abstract

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Item Type: Article
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© The Author(s) 2021. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

Keywords: Infection modelling, Airborne infection risk, Monitored CO2, COVID-19, Coronavirus SAR-CoV-2
Dates:
  • Published: 1 June 2022
  • Published (online): 28 September 2021
  • Accepted: 15 August 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds)
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NIHR National Inst Health Research
Not Known
Depositing User: Symplectic Publications
Date Deposited: 01 Sep 2021 10:55
Last Modified: 27 Jul 2022 14:12
Status: Published
Publisher: SAGE Publications
Identification Number: 10.1177/1420326X211043564
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