Quantification of airborne respiratory microflora provides insights into airborne infection risk

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Authors: Henry P. Oswin, Raymond Tellier, Robert Groth, Ville Silvonen, Rowena Bull, C Raina MacIntyre, Charitha M. de Silva, Con Doolan, Mohamed M.A. Mahmoud, Damian Honeyman, Ian Seppelt, Marck Nicholls
+6 more Stuart Turville, Anupriya Aggarwal, K.M. Ahsanul Kabir, Adriana Notaras, Donald Kirby Milton, Lidia Morawska
Cited by: 1
References: 9

Abstract

OBJECTIVES: 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.

Fields of Study & Subjects

Indoor Air Quality and Microbial Exposure Infection Control and Ventilation Air Quality and Health Impacts

Publication details

Journal / source
International Journal of Infectious Diseases
Publisher
Elsevier BV
Volume
164
Pages
108403–108403
Publication date
19 January 2026
Language
EN