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A real-time web tool for monitoring and mitigating indoor airborne Covid-19 transmission risks at city scale

Bibliographic Data

ID21233957
AuthorsAli Katal (0000-0002-7893-8053, Concordia University), Liangzhu Leon Wang (0000-0002-0653-3612, Concordia University, corresponding author), Maher Albettar (0000-0003-3880-7937, Concordia University)
Year2022
Volume80
Pages103810
Publication date2022-05-01
Open AccessYes
TypeARTICLE
VenueSustainable Cities and Society (JOURNAL)
Journal identifiersISSN: 2210-6707 • E-ISSN: 2210-6715
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2022.103810
PMID35261876
OpenAlexW4214906733
LanguageEN
Citations received6
References cited36

Airborne transmission of aerosols contributes to a large portion of the SARS-CoV-2 spread indoors. This study develops a real-time interactive web-based platform for the public to compare various strategies to curb indoor airborne transmission of COVID-19 in different archetype buildings at a city scale. Although many countries have started vaccination and a gradual re-opening, because of emerging new variants of the virus and the possibility of future pandemics, a lively updated tool for monitoring and mitigation of infection risk is essential. As a demonstration, we evaluated the impacts of six mitigation measures on the infection risks in various building types in a city. It shows that the same strategy could perform quite differently, depending on building types and properties. All strategies are shown to reduce the infection risk but wearing a mask and reducing exposure time are the most effective strategies in many buildings, with around 60% reduction. Doubling the minimum required outdoor air ventilation rate is not as effective as other strategies to reduce the risk. It also causes considerable penalties on energy consumption. Therefore, new building ventilation standards, control actions, and design criteria should be considered to mitigate the infection risk and save energy

Airborne transmission · Business · Geography · Telecommunications · Building Energy and Comfort Optimization · Computer Science · COVID-19 epidemiological studies · Environmental Science · Infection Control and Ventilation · Medicine

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Citations per year1.5
Citation span2022 - 2024 (3)
Highly citedNo

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