Air Cleaners and Respiratory Infections in Schools: A Modeling Study Based on Epidemiologic, Environmental, and Molecular Data

Author:

Banholzer Nicolas12,Jent Philipp23ORCID,Bittel Pascal24,Zürcher Kathrin12ORCID,Furrer Lavinia4,Bertschinger Simon1ORCID,Weingartner Ernest5,Ramette Alban24,Egger Matthias167,Hascher Tina28,Fenner Lukas12ORCID

Affiliation:

1. Institute of Social and Preventive Medicine, University of Bern , Bern , Switzerland

2. Multidisciplinary Center for Infectious Diseases, University of Bern , Bern , Switzerland

3. Department of Infectious Diseases, Inselspital, Bern University Hospital, University of Bern , Bern , Switzerland

4. Institute for Infectious Diseases, University of Bern , Bern , Switzerland

5. Institute for Sensors and Electronics, University of Applied Sciences and Arts Northwestern Switzerland , Windisch , Switzerland

6. Population Health Sciences, University of Bristol , Bristol , UK

7. Centre for Infectious Disease Epidemiology and Research, University of Cape Town , Cape Town , South Africa

8. Institute of Educational Science, University of Bern , Bern , Switzerland

Abstract

Abstract Background Using a multiple-measurement approach, we examined the real-world effectiveness of portable HEPA air filtration devices (air cleaners) in a school setting. Methods We collected data over 7 weeks during winter 2022/2023 in 2 Swiss secondary school classes: environmental (CO2, particle concentrations), epidemiologic (absences related to respiratory infections), audio (coughing), and molecular (bioaerosol and saliva samples). Using a crossover design, we compared particle concentrations, coughing, and risk of infection with and without air cleaners. Results All 38 students participated (age, 13–15 years). With air cleaners, mean particle concentration decreased by 77% (95% credible interval, 63%−86%). There were no differences in CO2 levels. Absences related to respiratory infections were 22 without air cleaners vs 13 with them. Bayesian modeling suggested a reduced risk of infection, with a posterior probability of 91% and a relative risk of 0.73 (95% credible interval, 0.44–1.18). Coughing also tended to be less frequent (posterior probability, 93%), indicating that fewer symptomatic students were in class. Molecular analysis detected mainly non–SARS-CoV-2 viruses in saliva (50/448 positive) but not in bioaerosols (2/105) or on the HEPA filters of the air cleaners (4/160). The molecular detection rate in saliva was similar with and without air cleaners. Spatiotemporal analysis of positive saliva samples identified several likely transmissions. Conclusions Air cleaners improved air quality and showed potential benefits in reducing respiratory infections. Airborne detection of non–SARS-CoV-2 viruses was rare, suggesting that these viruses may be more difficult to detect in the air. Future studies should examine the importance of close contact and long-range transmission and the cost-effectiveness of using air cleaners.

Funder

Multidisciplinary Center for Infectious Diseases

University of Bern

National Institute of Allergy and Infectious Diseases

Swiss National Science Foundation

Publisher

Oxford University Press (OUP)

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