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Safe CO2 threshold limits for indoor long-range airborne transmission control of COVID-19.
Lyu, Xiaowei; Luo, Zhiwen; Shao, Li; Awbi, Hazim; Lo Piano, Samuele.
  • Lyu X; School of the Built Environment, University of Reading, UK.
  • Luo Z; Welsh School of Architecture, Cardiff University, UK.
  • Shao L; School of the Built Environment, University of Reading, UK.
  • Awbi H; School of the Built Environment, University of Reading, UK.
  • Lo Piano S; School of the Built Environment, University of Reading, UK.
Build Environ ; 234: 109967, 2023 Apr 15.
Article in English | MEDLINE | ID: covidwho-2270057
ABSTRACT
CO2-based infection risk monitoring is highly recommended during the current COVID-19 pandemic. However, the CO2 monitoring thresholds proposed in the literature are mainly for spaces with fixed occupants. Determining CO2 threshold is challenging in spaces with changing occupancy due to the co-existence of quanta and CO2 remaining from previous occupants. Here, we propose a new calculation framework for deriving safe excess CO2 thresholds (above outdoor level), C t, for various spaces with fixed/changing occupancy and analyze the uncertainty involved. We categorized common indoor spaces into three scenarios based on their occupancy conditions, e.g., fixed or varying infection ratios (infectors/occupants). We proved that the rebreathed fraction-based model can be applied directly for deriving C t in the case of a fixed infection ratio (Scenario 1 and Scenario 2). In the case of varying infection ratios (Scenario 3), C t derivation must follow the general calculation framework due to the existence of initial quanta/excess CO2. Otherwise, C t can be significantly biased (e.g., 260 ppm) when the infection ratio varies greatly. C t can vary significantly based on specific space factors such as occupant number, physical activity, and community prevalence, e.g., 7 ppm for gym and 890 ppm for lecture hall, indicating C t must be determined on a case-by-case basis. An uncertainty of up to 6 orders of magnitude for C t was found for all cases due to uncertainty in emissions of quanta and CO2, thus emphasizing the role of accurate emissions data in determining C t.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Topics: Long Covid Language: English Journal: Build Environ Year: 2023 Document Type: Article Affiliation country: J.buildenv.2022.109967

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Topics: Long Covid Language: English Journal: Build Environ Year: 2023 Document Type: Article Affiliation country: J.buildenv.2022.109967