About: Detection of Influenza and Other Respiratory Viruses in Air Sampled From a University Campus: A Longitudinal Study

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About: Detection of Influenza and Other Respiratory Viruses in Air Sampled From a University Campus: A Longitudinal Study Goto Sponge NotDistinct Permalink

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

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Detection of Influenza and Other Respiratory Viruses in Air Sampled From a University Campus: A Longitudinal Study
Creator	Li, Yuguo Wei, Jianjian Peiris, Malik Yen, Hui-Ling Wang, Xin Cowling, Ben Lau, Eric Wu, Huitao Xie, Chenyi Yoshida, Tomoyo Yu, Han
source	Medline; PMC
abstract	BACKGROUND: Respiratory virus–laden particles are commonly detected in the exhaled breath of symptomatic patients or in air sampled from healthcare settings. However, the temporal relationship of detecting virus-laden particles at nonhealthcare locations vs surveillance data obtained by conventional means has not been fully assessed. METHODS: From October 2016 to June 2018, air was sampled weekly from a university campus in Hong Kong. Viral genomes were detected and quantified by real-time reverse-transcription polymerase chain reaction. Logistic regression models were fitted to examine the adjusted odds ratios (aORs) of ecological and environmental factors associated with the detection of virus-laden airborne particles. RESULTS: Influenza A (16.9% [117/694]) and influenza B (4.5% [31/694]) viruses were detected at higher frequencies in air than rhinovirus (2.2% [6/270]), respiratory syncytial virus (0.4% [1/270]), or human coronaviruses (0% [0/270]). Multivariate analyses showed that increased crowdedness (aOR, 2.3 [95% confidence interval {CI}, 1.5–3.8]; P < .001) and higher indoor temperature (aOR, 1.2 [95% CI, 1.1–1.3]; P < .001) were associated with detection of influenza airborne particles, but absolute humidity was not (aOR, 0.9 [95% CI, .7–1.1]; P = .213). Higher copies of influenza viral genome were detected from airborne particles >4 μm in spring and <1 μm in autumn. Influenza A(H3N2) and influenza B viruses that caused epidemics during the study period were detected in air prior to observing increased influenza activities in the community. CONCLUSIONS: Air sampling as a surveillance tool for monitoring influenza activity at public locations may provide early detection signals on influenza viruses that circulate in the community.
has issue date	2020-03-01(xsd:dateTime)
bibo:doi	10.1093/cid/ciz296
bibo:pmid	30963180
has license	no-cc
sha1sum (hex)	2c4ec0f97839d2a93d1c50d332a87f8d7a12ff26
schema:url	https://doi.org/10.1093/cid/ciz296
resource representing a document's title	Detection of Influenza and Other Respiratory Viruses in Air Sampled From a University Campus: A Longitudinal Study
has PubMed Central identifier	PMC7108140
has PubMed identifier	30963180
schema:publication	Clin Infect Dis
resource representing a document's body	covid:2c4ec0f97839d2a93d1c50d332a87f8d7a12ff26#body_text
is schema:about of	named entity 'Study' named entity 'UNIVERSITY CAMPUS' named entity 'LONGITUDINAL STUDY' named entity 'SURVEILLANCE' named entity 'AIR' named entity 'DETECTING' named entity 'FULLY' named entity 'AIR' named entity 'ASSESSED' named entity 'SAMPLED' named entity 'DETECTION' named entity 'DETECTED' named entity 'EXHALED BREATH' named entity 'SAMPLED' named entity 'RESPIRATORY VIRUS' named entity 'VIRUS' named entity 'PATIENTS' named entity 'CONVENTIONAL' named entity 'HEALTHCARE' named entity 'TEMPORAL RELATIONSHIP' named entity 'PARTICLES' named entity 'MEANS' named entity 'SETTINGS' named entity 'DATA' named entity 'SYMPTOMATIC' named entity 'OBTAINED BY' named entity 'LOCATIONS' named entity 'RESPIRATORY VIRUSES' named entity 'INFLUENZA' named entity 'data' named entity 'commonly' named entity 'particles' named entity 'Respiratory' named entity 'virus' named entity 'exhaled breath' named entity 'Longitudinal Study' named entity 'disease burden' named entity 'influenza' named entity 'New York City' named entity 'epidemic' named entity 'virus' named entity 'influenza' named entity 'viruses' named entity 'viruses' named entity 'SKC' named entity 'standard deviation' named entity 'H3N2' named entity 'viruses' named entity 'epidemic' named entity 'NIOSH' named entity 'RNA' named entity 'influenza' named entity 'influenza' named entity 'influenza' named entity 'risk factor' named entity 'viruses' named entity 'viruses' named entity 'RNA' named entity 'logistic regression' named entity 'IBV' named entity 'airborne particles' named entity 'epidemic' named entity 'vRNA' named entity 'MDCK' named entity 'Clausius-Clapeyron' named entity 'RT-PCR' named entity 'influenza' named entity 'IBV' named entity 'infectivity' named entity 'bovine serum albumin' named entity 'Hong Kong'

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