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Detection of hospital environmental contamination during SARS-CoV-2 Omicron predominance using a highly sensitive air sampling device.
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.
  • Tan KS; Biosafety Level 3 Core Facility, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Ang AXY; Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Tay DJW; Infectious Disease Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Somani J; Department of Otolaryngology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Ng AJY; Department of Medicine, Division of Infectious Diseases, National University Hospital, Singapore, Singapore.
  • Peng LL; Biosafety Level 3 Core Facility, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Chu JJH; Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Tambyah PA; Infectious Disease Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Allen DM; Department of Medicine, Division of Infectious Diseases, National University Hospital, Singapore, Singapore.
Front Public Health ; 10: 1067575, 2022.
Article in English | MEDLINE | ID: covidwho-2245630
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.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Cross Infection / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Randomized controlled trials Topics: Variants Limits: Humans Language: English Journal: Front Public Health Year: 2022 Document Type: Article Affiliation country: Fpubh.2022.1067575

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Cross Infection / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Randomized controlled trials Topics: Variants Limits: Humans Language: English Journal: Front Public Health Year: 2022 Document Type: Article Affiliation country: Fpubh.2022.1067575