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- Publisher Website: 10.1093/cid/ciz296
- Scopus: eid_2-s2.0-85079345429
- PMID: 30963180
- WOS: WOS:000520551800022
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Article: Detection of influenza and other respiratory viruses in air sampled from a university campus: a longitudinal study
Title | Detection of influenza and other respiratory viruses in air sampled from a university campus: a longitudinal study |
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Authors | |
Keywords | influenza and respiratory viruses airborne particles human density temporal pattern surveillance |
Issue Date | 2020 |
Publisher | Oxford University Press. The Journal's web site is located at http://www.oxfordjournals.org/our_journals/cid/ |
Citation | Clinical Infectious Diseases, 2020, v. 70 n. 5, p. 850-858 How to Cite? |
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 non-healthcare locations versus 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 RT-PCR. 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 B (4.6%, 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, 1.5 - 3.8, P < 0.001) and higher indoor temperature (1.2, 1.1 - 1.3, P < 0.001) were associated with detection of influenza airborne particles, but absolute humidity was not (0.9, 0.7 - 1.1, P = 0.213). Higher copies of influenza viral genome were detected from airborne particles > 4 mum in spring and < 1 mum 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. |
Persistent Identifier | http://hdl.handle.net/10722/274533 |
ISSN | 2023 Impact Factor: 8.2 2023 SCImago Journal Rankings: 3.308 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Xie, C | - |
dc.contributor.author | Lau, EHY | - |
dc.contributor.author | Yoshida, T | - |
dc.contributor.author | Yu, H | - |
dc.contributor.author | Wang, X | - |
dc.contributor.author | Wu, H | - |
dc.contributor.author | Wei, J | - |
dc.contributor.author | Cowling, BJ | - |
dc.contributor.author | Peiris, M | - |
dc.contributor.author | Li, Y | - |
dc.contributor.author | Yen, HL | - |
dc.date.accessioned | 2019-08-18T15:03:35Z | - |
dc.date.available | 2019-08-18T15:03:35Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Clinical Infectious Diseases, 2020, v. 70 n. 5, p. 850-858 | - |
dc.identifier.issn | 1058-4838 | - |
dc.identifier.uri | http://hdl.handle.net/10722/274533 | - |
dc.description.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 non-healthcare locations versus 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 RT-PCR. 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 B (4.6%, 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, 1.5 - 3.8, P < 0.001) and higher indoor temperature (1.2, 1.1 - 1.3, P < 0.001) were associated with detection of influenza airborne particles, but absolute humidity was not (0.9, 0.7 - 1.1, P = 0.213). Higher copies of influenza viral genome were detected from airborne particles > 4 mum in spring and < 1 mum 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. | - |
dc.language | eng | - |
dc.publisher | Oxford University Press. The Journal's web site is located at http://www.oxfordjournals.org/our_journals/cid/ | - |
dc.relation.ispartof | Clinical Infectious Diseases | - |
dc.rights | Pre-print: Journal Title] ©: [year] [owner as specified on the article] Published by Oxford University Press [on behalf of xxxxxx]. All rights reserved. Pre-print (Once an article is published, preprint notice should be amended to): This is an electronic version of an article published in [include the complete citation information for the final version of the Article as published in the print edition of the Journal.] Post-print: This is a pre-copy-editing, author-produced PDF of an article accepted for publication in [insert journal title] following peer review. The definitive publisher-authenticated version [insert complete citation information here] is available online at: xxxxxxx [insert URL that the author will receive upon publication here]. | - |
dc.subject | influenza and respiratory viruses | - |
dc.subject | airborne particles | - |
dc.subject | human density | - |
dc.subject | temporal pattern | - |
dc.subject | surveillance | - |
dc.title | Detection of influenza and other respiratory viruses in air sampled from a university campus: a longitudinal study | - |
dc.type | Article | - |
dc.identifier.email | Lau, EHY: ehylau@hku.hk | - |
dc.identifier.email | Cowling, BJ: bcowling@hku.hk | - |
dc.identifier.email | Peiris, M: malik@hkucc.hku.hk | - |
dc.identifier.email | Li, Y: liyg@hku.hk | - |
dc.identifier.email | Yen, HL: hyen@hku.hk | - |
dc.identifier.authority | Lau, EHY=rp01349 | - |
dc.identifier.authority | Cowling, BJ=rp01326 | - |
dc.identifier.authority | Peiris, M=rp00410 | - |
dc.identifier.authority | Li, Y=rp00151 | - |
dc.identifier.authority | Yen, HL=rp00304 | - |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.doi | 10.1093/cid/ciz296 | - |
dc.identifier.pmid | 30963180 | - |
dc.identifier.scopus | eid_2-s2.0-85079345429 | - |
dc.identifier.hkuros | 301903 | - |
dc.identifier.volume | 70 | - |
dc.identifier.issue | 5 | - |
dc.identifier.spage | 850 | - |
dc.identifier.epage | 858 | - |
dc.identifier.isi | WOS:000520551800022 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1058-4838 | - |