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Natural ventilation, low CO2 and air filtration are associated with reduced indoor air respiratory pathogens
Joren Raymenants; Caspar Geenen; Lore Budts; Jonathan Thibaut; Marijn Thijssen; Hannelore De Mulder; Sarah Gorissen; Bastiaan Craessaerts; Lies Laenen; Kurt Beuselinck; Sien Ombelet; Els Keyaerts; Emmanuel Andre.
Affiliation
  • Joren Raymenants; KU Leuven
  • Caspar Geenen; KU Leuven
  • Lore Budts; University Hospitals Leuven
  • Jonathan Thibaut; KU Leuven
  • Marijn Thijssen; KU Leuven
  • Hannelore De Mulder; KU Leuven
  • Sarah Gorissen; KU Leuven
  • Bastiaan Craessaerts; University Hospitals Leuven
  • Lies Laenen; University Hospitals Leuven
  • Kurt Beuselinck; University Hospitals Leuven
  • Sien Ombelet; University Hospitals Leuven
  • Els Keyaerts; University Hospitals Leuven
  • Emmanuel Andre; KU Leuven
Preprint in English | medRxiv | ID: ppmedrxiv-22280263
ABSTRACT
Currently, the real-life impact of indoor climate, human behavior, ventilation and air filtration on respiratory pathogen detection and concentration are poorly understood. This hinders the interpretability of bioaerosol quantification in indoor air to surveil respiratory pathogens and transmission risk. We tested 341 indoor air samples from 21 community settings for 29 respiratory pathogens using qPCR. On average, 3.9 pathogens were positive per sample and 85.3% of samples tested positive for at least one. The number of detected pathogens and their respective concentrations varied significantly by pathogen, month, and age group in generalized linear (mixed) models and generalized estimating equations. High CO2 and low natural ventilation were independent risk factors for detection. CO2 concentration and air filtration were independently associated with their concentration. Occupancy, sampling time, mask wearing, vocalization, temperature, humidity and mechanical ventilation were not significant. Our results support the importance of ventilation and air filtration to reduce transmission.
License
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Prognostic study Language: English Year: 2022 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Prognostic study Language: English Year: 2022 Document type: Preprint
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