Your browser doesn't support javascript.
Detection of Influenza and Other Respiratory Viruses in Air Sampled From a University Campus: A Longitudinal Study.
Xie, Chenyi; Lau, Eric H Y; Yoshida, Tomoyo; Yu, Han; Wang, Xin; Wu, Huitao; Wei, Jianjian; Cowling, Ben; Peiris, Malik; Li, Yuguo; Yen, Hui-Ling.
  • Xie C; School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Lau EHY; School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Yoshida T; School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Yu H; Department of Mechanical Engineering, University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Wang X; School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Wu H; School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Wei J; Department of Mechanical Engineering, University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Cowling B; School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Peiris M; School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Li Y; Department of Mechanical Engineering, University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Yen HL; School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China.
Clin Infect Dis ; 70(5): 850-858, 2020 Feb 14.
Article in English | MEDLINE | ID: covidwho-326398
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.

Full text: Available Collection: International databases Database: MEDLINE Type: Article Type of study: Screening study Language: English Journal: Clin Infect Dis Year: 2020

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type: Article Type of study: Screening study Language: English Journal: Clin Infect Dis Year: 2020