About: Air and environmental sampling for SARS-CoV-2 around hospitalized patients with coronavirus disease 2019 (COVID-19)

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About: Air and environmental sampling for SARS-CoV-2 around hospitalized patients with coronavirus disease 2019 (COVID-19) Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Air and environmental sampling for SARS-CoV-2 around hospitalized patients with coronavirus disease 2019 (COVID-19)
Creator	Yuen, Kwok-Yung Chan, Kwok-Hung Ho, Pak-Leung Chan, Chik, Cyril Fuk-Woo, Jasper To, Kai-Wang Yip, Yan Cheng, Chi-Chung Fan-Ngai, Ivan Frcpath, Siddharth Wong Mnurs, Shuk-Ching Chen, Hon-Kwan Md, Hung Mph, Chan Mrcp, Chung Phd, Hin So Mmedsc, Yung-Chun Wai-Hin, Tom Wing-Man, Veronica
Source	Medline; PMC
abstract	BACKGROUND: The role of severe respiratory coronavirus virus 2 (SARS-CoV-2)–laden aerosols in the transmission of coronavirus disease 2019 (COVID-19) remains uncertain. Discordant findings of SARS-CoV-2 RNA in air samples were noted in early reports. METHODS: Sampling of air close to 6 asymptomatic and symptomatic COVID-19 patients with and without surgical masks was performed with sampling devices using sterile gelatin filters. Frequently touched environmental surfaces near 21 patients were swabbed before daily environmental disinfection. The correlation between the viral loads of patients’ clinical samples and environmental samples was analyzed. RESULTS: All air samples were negative for SARS-CoV-2 RNA in the 6 patients singly isolated inside airborne infection isolation rooms (AIIRs) with 12 air changes per hour. Of 377 environmental samples near 21 patients, 19 (5.0%) were positive by reverse-transcription polymerase chain reaction (RT-PCR) assay, with a median viral load of 9.2 × 10(2) copies/mL (range, 1.1 × 10(2) to 9.4 × 10(4) copies/mL). The contamination rate was highest on patients’ mobile phones (6 of 77, 7.8%), followed by bed rails (4 of 74, 5.4%) and toilet door handles (4 of 76, 5.3%). We detected a significant correlation between viral load ranges in clinical samples and positivity rate of environmental samples (P < .001). CONCLUSION: SARS-CoV-2 RNA was not detectable by air samplers, which suggests that the airborne route is not the predominant mode of transmission of SARS-CoV-2. Wearing a surgical mask, appropriate hand hygiene, and thorough environmental disinfection are sufficient infection control measures for COVID-19 patients isolated singly in AIIRs. However, this conclusion may not apply during aerosol-generating procedures or in cohort wards with large numbers of COVID-19 patients.
has issue date	2020-06-08(xsd:dateTime)
bibo:doi	10.1017/ice.2020.282
bibo:pmid	32507114
has license	cc-by
sha1sum (hex)	cbdf5bc7c6ba2e636c56791b2f0b65a65db65ba7
schema:url	https://doi.org/10.1017/ice.2020.282
resource representing a document's title	Air and environmental sampling for SARS-CoV-2 around hospitalized patients with coronavirus disease 2019 (COVID-19)
has PubMed Central identifier	PMC7327164
has PubMed identifier	32507114
schema:publication	Infection control and hospital epidemiology
resource representing a document's body	covid:cbdf5bc7c6ba2e636c56791b2f0b65a65db65ba7#body_text
is schema:about of	named entity 'virus' named entity 'SARS-CoV-2' named entity 'severe' named entity 'remains' named entity 'Air' named entity 'RNA' named entity 'SARS-CoV-2' named entity 'face mask' named entity 'SARS-CoV-2' named entity 'SARS-CoV-2' named entity 'viral load' named entity 'environmental contamination' named entity 'SARS-CoV-2' named entity 'VTM' named entity 'Singapore' named entity 'COVID' named entity 'VTM' named entity 'China' named entity 'human coronaviruses' named entity 'Singapore' named entity 'surgical mask' named entity 'COVID' named entity 'door handle' named entity 'respiration rate' named entity 'air changes per hour' named entity 'virus' named entity 'air changes per hour' named entity 'Wuhan, China' named entity 'respiratory droplets' named entity 'infection' named entity 'RNA' named entity 'virus' named entity 'Singapore' named entity 'gelatin' named entity 'shedding of virus' named entity 'exhaled breath' named entity 'viral RNA' named entity 'RNA' named entity 'saliva' named entity 'RNA' named entity 'Sartorius AG' named entity 'Milan' named entity 'nucleic acid' named entity 'supernatant' named entity 'SARS-CoV-2' named entity 'surgical mask' named entity 'SARS-CoV-2' named entity 'viral load' named entity 'viral load' named entity 'positive controls' named entity 'Singapore' named entity 'saliva' named entity 'common cold' named entity 'COVID-19' named entity 'SARS-CoV-2' named entity 'SARS-CoV-2' named entity 'murine' named entity 'viral load' named entity 'COVID' named entity 'face mask' named entity 'intensive care unit' named entity 'sneeze'

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