AUTHOR=Tan Kai Sen , Ang Alicia Xin Yu , Tay Douglas Jie Wen , Somani Jyoti , Ng Alexander Jet Yue , Peng Li Lee , Chu Justin Jang Hann , Tambyah Paul Anantharajah , Allen David Michael TITLE=Detection of hospital environmental contamination during SARS-CoV-2 Omicron predominance using a highly sensitive air sampling device JOURNAL=Frontiers in Public Health VOLUME=10 YEAR=2023 URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2022.1067575 DOI=10.3389/fpubh.2022.1067575 ISSN=2296-2565 ABSTRACT=Background and objectives

The high transmissibility of SARS-CoV-2 has exposed weaknesses in our infection control and detection measures, particularly in healthcare settings. Aerial sampling has evolved from passive impact filters to active sampling using negative pressure to expose culture substrate for virus detection. We evaluated the effectiveness of an active air sampling device as a potential surveillance system in detecting hospital pathogens, for augmenting containment measures to prevent nosocomial transmission, using SARS-CoV-2 as a surrogate.

Methods

We conducted air sampling in a hospital environment using the AerosolSenseTM air sampling device and compared it with surface swabs for their capacity to detect SARS-CoV-2.

Results

When combined with RT-qPCR detection, we found the device provided consistent SARS-CoV-2 detection, compared to surface sampling, in as little as 2 h of sampling time. The device also showed that it can identify minute quantities of SARS-CoV-2 in designated “clean areas” and through a N95 mask, indicating good surveillance capacity and sensitivity of the device in hospital settings.

Conclusion

Active air sampling was shown to be a sensitive surveillance system in healthcare settings. Findings from this study can also be applied in an organism agnostic manner for surveillance in the hospital, improving our ability to contain and prevent nosocomial outbreaks.