Logo image
Quantification of airborne respiratory microflora provides insights into airborne infection risk
Journal article   Open access   Peer reviewed

Quantification of airborne respiratory microflora provides insights into airborne infection risk

Henry P. Oswin, Raymond Tellier, Robert Groth, Ville Silvonen, Rowena Bull, C. Raina MacIntyre, Charitha de Silva, Con Doolan, Mohamed M.A. Mahmoud, Damian Honeyman, …
International journal of infectious diseases, Vol.164, pp.1-4
03/2026
PMID: 41565058
pdf
Quantification of airborne respiratory microflora699.34 kBDownloadView
Published (Version of record) Open CC BY-NC-ND V4.0
url
Quantification of airborne respiratory microfloraView
Published (Version of record) Open CC BY-NC-ND V4.0

Related links

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: SDGs from InCites

Abstract

Aerobiology Disease transmission Infection risk quantification SARS-CoV-2
Objectives: To develop airborne respiratory microflora quantification as a method of quantifying airborne infection risk that is more readily applicable than airborne pathogen sampling, without being subject to the limitations and caveats of CO monitoring. Methods: Digital polymerase chain reaction targeting a mixture of Streptococcus and Haemophilus genera common to the respiratory tract was first tested under laboratory conditions and then tested on aerosol sampled from around a hospital in Sydney, with polymerase chain reaction quantification of SARS-CoV-2 genome copies also being carried out on the samples. Results: Clear signals were obtained from every location within the hospital, with a significantly higher signal being observed in more densely crowded, less well-ventilated areas. When SARS-CoV-2 was present within the aerosol samples, the respiratory microflora signal correlated with the number of SARS-CoV-2 copies. Conclusions: Airborne respiratory microflora can be used as a marker for airborne infection risk. Using the value in conjunction with pathogen sampling provides in-depth insights into the relative infection risk of a space, and a clear marker which can be used to compare between different pathogen sampling studies.

Details

Logo image