空気中呼吸器微生物叢の定量化による空気感染リスクの解明
Henry P Oswin1, Raymond Tellier2, Robert Groth1
1Queensland University of Technology, International Laboratory for Air Quality and Health, Brisbane, Australia.
Objective:
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 CO2 monitoring.
Methods:
Digital PCR 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 PCR 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, as well as a clear marker which can be used to compare between different pathogen sampling studies.
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