Can CO2 be used as an indicator of the probability of cross-infection?

Mariya P. Bivolarova*, Aleksandra Lipczyńska, Linxuan Guo, Wojciech Kierat, Arsen K. Melikov

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The validity of using CO2 as an indicator of airborne infection probability was studied. Tracer gas measurements were conducted in a field lab with two breathing thermal manikins resembling “infected” and “susceptible” persons seated at desks. The room was ventilated with a mixing air distribution. Experiments were performed at three ventilation rates. CO2 gas was dosed into the air exhaled by the manikins to simulate the metabolic CO2 generation by people. Simultaneously, nitrous oxide (N2O) tracer gas was dosed into the air exhaled by one of the manikins (“infected person”) to simulate the emission of exhaled infectious particles. CO2 and N2O concentrations were measured at several points. The probability of infection was calculated based on the concentration of CO2 and N2O measured in the air inhaled by the exposed manikin (“susceptible person”). The results did not confirm that CO2 can be used as a proxy to assess the infection probability.
Original languageEnglish
Title of host publicationProceedings of Indoor Air 2022
Number of pages8
PublisherInternational Society of Indoor Air Quality and Climate
Publication date2022
Publication statusPublished - 2022
Event17th International Conference of the International Society of Indoor Air Quality & Climate - University of Eastern Finland, Kuopio, Finland
Duration: 12 Jun 202216 Jun 2022
Conference number: 17
https://indoorair2022.org/

Conference

Conference17th International Conference of the International Society of Indoor Air Quality & Climate
Number17
LocationUniversity of Eastern Finland
Country/TerritoryFinland
CityKuopio
Period12/06/202216/06/2022
Internet address

Keywords

  • Risk of infection
  • Ventilation
  • Room Air distribution
  • Exposure
  • COVID-19

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