Air cleaners and respiratory infections in schools. A modeling study using epidemiological, environmental, and molecular data

dc.contributor.authorBanholzer, Nicolas
dc.contributor.authorJent, Philipp
dc.contributor.authorBittel, Pascal
dc.contributor.authorZürcher, Kathrin
dc.contributor.authorFurrer, Lavinia
dc.contributor.authorBertschinger, Simon
dc.contributor.authorWeingartner, Ernest
dc.contributor.authorRamette, Alban
dc.contributor.authorEgger, Matthias
dc.contributor.authorHascher, Tina
dc.contributor.authorFenner, Lukas
dc.date.accessioned2024-08-14T13:03:49Z
dc.date.available2024-08-14T13:03:49Z
dc.date.issued2023-12-30
dc.description.abstract<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Using a multiple-measurement approach, we examined the real-world effectiveness of portable HEPA-air filtration devices (air cleaners) in a school setting.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We collected environmental (CO<jats:sub>2</jats:sub>, particle concentrations), epidemiological (absences related to respiratory infections), audio (coughing), and molecular data (bioaerosol and saliva samples) over seven weeks during winter 2022/2023 in two Swiss secondary school classes. Using a cross-over study design, we compared particle concentrations, coughing, and the risk of infection with vs without air cleaners.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>All 38 students (age 13<jats:italic>−</jats:italic>15 years) participated. With air cleaners, mean particle con-centration decreased by 77% (95% credible interval 63%<jats:italic>−</jats:italic>86%). There were no differences in CO<jats:sub>2</jats:sub>levels. Absences related to respiratory infections were 22 without vs 13 with air cleaners. 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<jats:italic>−</jats:italic>1.18). Coughing also tended to be less frequent (posterior probability 93%). Molecular analysis detected mainly non-SARS-CoV-2 viruses in saliva (50/448 positive), but not in bioaerosols (2/105 positive) or HEPA-filters (4/160). The detection rate was similar with vs without air cleaners. Spatiotemporal analysis of positive saliva samples identified several likely transmissions.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Air cleaners improved air quality, showed a potential benefit in reducing respiratory infections, and were associated with less coughing. 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.</jats:p></jats:sec>
dc.identifier.doi10.1101/2023.12.29.23300635
dc.identifier.issn2328-8957
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/46626
dc.language.isoen
dc.publisherOxford University Press
dc.relation.ispartofOpen Forum Infectious Diseases
dc.subject.ddc610 - Medizin und Gesundheit
dc.titleAir cleaners and respiratory infections in schools. A modeling study using epidemiological, environmental, and molecular data
dc.type01A - Beitrag in wissenschaftlicher Zeitschrift
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.affiliation.hochschuleHochschule für Technikde_CH
fhnw.affiliation.institutlnstitut für Sensorik und Elektronikde_CH
fhnw.openAccessCategoryClosed
fhnw.publicationStatePublished
relation.isAuthorOfPublication05dd9a19-7a24-4325-805a-2d121483b168
relation.isAuthorOfPublication.latestForDiscovery05dd9a19-7a24-4325-805a-2d121483b168
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