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Detection of hospital environmental contamination during SARS-CoV-2 Omicron predominance using a highly sensitive air sampling device
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 substra...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873263/ https://www.ncbi.nlm.nih.gov/pubmed/36703815 http://dx.doi.org/10.3389/fpubh.2022.1067575 |
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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 |
author_facet | 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 |
author_sort | Tan, Kai Sen |
collection | PubMed |
description | 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 AerosolSense(TM) 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. |
format | Online Article Text |
id | pubmed-9873263 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98732632023-01-25 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 Front Public Health Public Health 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 AerosolSense(TM) 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. Frontiers Media S.A. 2023-01-10 /pmc/articles/PMC9873263/ /pubmed/36703815 http://dx.doi.org/10.3389/fpubh.2022.1067575 Text en Copyright © 2023 Tan, Ang, Tay, Somani, Ng, Peng, Chu, Tambyah and Allen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health 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 Detection of hospital environmental contamination during SARS-CoV-2 Omicron predominance using a highly sensitive air sampling device |
title | Detection of hospital environmental contamination during SARS-CoV-2 Omicron predominance using a highly sensitive air sampling device |
title_full | Detection of hospital environmental contamination during SARS-CoV-2 Omicron predominance using a highly sensitive air sampling device |
title_fullStr | Detection of hospital environmental contamination during SARS-CoV-2 Omicron predominance using a highly sensitive air sampling device |
title_full_unstemmed | Detection of hospital environmental contamination during SARS-CoV-2 Omicron predominance using a highly sensitive air sampling device |
title_short | Detection of hospital environmental contamination during SARS-CoV-2 Omicron predominance using a highly sensitive air sampling device |
title_sort | detection of hospital environmental contamination during sars-cov-2 omicron predominance using a highly sensitive air sampling device |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873263/ https://www.ncbi.nlm.nih.gov/pubmed/36703815 http://dx.doi.org/10.3389/fpubh.2022.1067575 |
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