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Characterization of hospital airborne SARS-CoV-2

BACKGROUND: The mechanism for spread of SARS-CoV-2 has been attributed to large particles produced by coughing and sneezing. There is controversy whether smaller airborne particles may transport SARS-CoV-2. Smaller particles, particularly fine particulate matter (≤ 2.5 µm in diameter), can remain ai...

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Autores principales: Stern, Rebecca A., Koutrakis, Petros, Martins, Marco A. G., Lemos, Bernardo, Dowd, Scot E., Sunderland, Elsie M., Garshick, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909372/
https://www.ncbi.nlm.nih.gov/pubmed/33637076
http://dx.doi.org/10.1186/s12931-021-01637-8
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author Stern, Rebecca A.
Koutrakis, Petros
Martins, Marco A. G.
Lemos, Bernardo
Dowd, Scot E.
Sunderland, Elsie M.
Garshick, Eric
author_facet Stern, Rebecca A.
Koutrakis, Petros
Martins, Marco A. G.
Lemos, Bernardo
Dowd, Scot E.
Sunderland, Elsie M.
Garshick, Eric
author_sort Stern, Rebecca A.
collection PubMed
description BACKGROUND: The mechanism for spread of SARS-CoV-2 has been attributed to large particles produced by coughing and sneezing. There is controversy whether smaller airborne particles may transport SARS-CoV-2. Smaller particles, particularly fine particulate matter (≤ 2.5 µm in diameter), can remain airborne for longer periods than larger particles and after inhalation will penetrate deeply into the lungs. Little is known about the size distribution and location of airborne SARS-CoV-2 RNA. METHODS: As a measure of hospital-related exposure, air samples of three particle sizes (> 10.0 µm, 10.0–2.5 µm, and ≤ 2.5 µm) were collected in a Boston, Massachusetts (USA) hospital from April to May 2020 (N = 90 size-fractionated samples). Locations included outside negative-pressure COVID-19 wards, a hospital ward not directly involved in COVID-19 patient care, and the emergency department. RESULTS: SARS-CoV-2 RNA was present in 9% of samples and in all size fractions at concentrations of 5 to 51 copies m(−3). Locations outside COVID-19 wards had the fewest positive samples. A non-COVID-19 ward had the highest number of positive samples, likely reflecting staff congregation. The probability of a positive sample was positively associated (r = 0.95, p < 0.01) with the number of COVID-19 patients in the hospital. The number of COVID-19 patients in the hospital was positively associated (r = 0.99, p < 0.01) with the number of new daily cases in Massachusetts. CONCLUSIONS: More frequent detection of positive samples in non-COVID-19 than COVID-19 hospital areas indicates effectiveness of COVID-ward hospital controls in controlling air concentrations and suggests the potential for disease spread in areas without the strictest precautions. The positive associations regarding the probability of a positive sample, COVID-19 cases in the hospital, and cases in Massachusetts suggests that hospital air sample positivity was related to community burden. SARS-CoV-2 RNA with fine particulate matter supports the possibility of airborne transmission over distances greater than six feet. The findings support guidelines that limit exposure to airborne particles including fine particles capable of longer distance transport and greater lung penetration.
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spelling pubmed-79093722021-03-01 Characterization of hospital airborne SARS-CoV-2 Stern, Rebecca A. Koutrakis, Petros Martins, Marco A. G. Lemos, Bernardo Dowd, Scot E. Sunderland, Elsie M. Garshick, Eric Respir Res Research BACKGROUND: The mechanism for spread of SARS-CoV-2 has been attributed to large particles produced by coughing and sneezing. There is controversy whether smaller airborne particles may transport SARS-CoV-2. Smaller particles, particularly fine particulate matter (≤ 2.5 µm in diameter), can remain airborne for longer periods than larger particles and after inhalation will penetrate deeply into the lungs. Little is known about the size distribution and location of airborne SARS-CoV-2 RNA. METHODS: As a measure of hospital-related exposure, air samples of three particle sizes (> 10.0 µm, 10.0–2.5 µm, and ≤ 2.5 µm) were collected in a Boston, Massachusetts (USA) hospital from April to May 2020 (N = 90 size-fractionated samples). Locations included outside negative-pressure COVID-19 wards, a hospital ward not directly involved in COVID-19 patient care, and the emergency department. RESULTS: SARS-CoV-2 RNA was present in 9% of samples and in all size fractions at concentrations of 5 to 51 copies m(−3). Locations outside COVID-19 wards had the fewest positive samples. A non-COVID-19 ward had the highest number of positive samples, likely reflecting staff congregation. The probability of a positive sample was positively associated (r = 0.95, p < 0.01) with the number of COVID-19 patients in the hospital. The number of COVID-19 patients in the hospital was positively associated (r = 0.99, p < 0.01) with the number of new daily cases in Massachusetts. CONCLUSIONS: More frequent detection of positive samples in non-COVID-19 than COVID-19 hospital areas indicates effectiveness of COVID-ward hospital controls in controlling air concentrations and suggests the potential for disease spread in areas without the strictest precautions. The positive associations regarding the probability of a positive sample, COVID-19 cases in the hospital, and cases in Massachusetts suggests that hospital air sample positivity was related to community burden. SARS-CoV-2 RNA with fine particulate matter supports the possibility of airborne transmission over distances greater than six feet. The findings support guidelines that limit exposure to airborne particles including fine particles capable of longer distance transport and greater lung penetration. BioMed Central 2021-02-26 2021 /pmc/articles/PMC7909372/ /pubmed/33637076 http://dx.doi.org/10.1186/s12931-021-01637-8 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Stern, Rebecca A.
Koutrakis, Petros
Martins, Marco A. G.
Lemos, Bernardo
Dowd, Scot E.
Sunderland, Elsie M.
Garshick, Eric
Characterization of hospital airborne SARS-CoV-2
title Characterization of hospital airborne SARS-CoV-2
title_full Characterization of hospital airborne SARS-CoV-2
title_fullStr Characterization of hospital airborne SARS-CoV-2
title_full_unstemmed Characterization of hospital airborne SARS-CoV-2
title_short Characterization of hospital airborne SARS-CoV-2
title_sort characterization of hospital airborne sars-cov-2
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909372/
https://www.ncbi.nlm.nih.gov/pubmed/33637076
http://dx.doi.org/10.1186/s12931-021-01637-8
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