Bioaerosol Sampling in Clinical Settings: A Promising, Noninvasive Approach for Detecting Respiratory Viruses
Author(s) -
Tham T. Nguyen,
Mee Kian Poh,
Jenny G. Low,
Shirin Kalimuddin,
Koh Cheng Thoon,
WAI CHII NG,
Benjamin D. Anderson,
Gregory C. Gray
Publication year - 2016
Publication title -
open forum infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.546
H-Index - 35
ISSN - 2328-8957
DOI - 10.1093/ofid/ofw259
Subject(s) - aerosolization , medicine , bioaerosol , virus , respiratory system , aerosol , sampling (signal processing) , influenza a virus , virology , filter (signal processing) , inhalation , anesthesia , physics , meteorology , computer science , computer vision
Although we were not able to correlate molecular detection with individual patient illness, patients with common acute respiratory illnesses were present during the samplings. Combined with molecular assays, it would suggest that aerosol sampling has potential as a noninvasive method for novel respiratory virus detection in clinical settings.
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