Literature DB >> 14754759

Detection of airborne rhinovirus and its relation to outdoor air supply in office environments.

Theodore A Myatt1, Sebastian L Johnston, Zhengfa Zuo, Matthew Wand, Tatiana Kebadze, Stephen Rudnick, Donald K Milton.   

Abstract

Rhinoviruses are major causes of morbidity in patients with respiratory diseases; however, their modes of transmission are controversial. We investigated detection of airborne rhinovirus in office environments by polymerase chain reaction technology and related detection to outdoor air supply rates. We sampled air from 9 A.M. to 5 P.M. each workday, with each sample run for 1 work week. We directly extracted RNA from the filters for nested reverse transcriptase-polymerase chain reaction analysis of rhinovirus. Nasal lavage samples from building occupants with upper respiratory infections were also collected. Indoor carbon dioxide (CO2 concentrations were recorded every 10 minutes as a surrogate for outdoor air supply. To increase the range of CO2 concentrations, we adjusted the outdoor air supply rates every 3 months. Generalized additive models demonstrated an association between the probability of detecting airborne rhinovirus and a weekly average CO2 concentration greater than approximately 100 ppm, after controlling for covariates. In addition, one rhinovirus from a nasal lavage contained an identical nucleic acid sequence similar to that in the building air collected during the same week. These results suggest that occupants in buildings with low outdoor air supply may have an increased risk of exposure to infectious droplet nuclei emanating from a fellow building occupant.

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Year:  2004        PMID: 14754759     DOI: 10.1164/rccm.200306-760OC

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


  43 in total

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Review 2.  Methods for sampling of airborne viruses.

Authors:  Daniel Verreault; Sylvain Moineau; Caroline Duchaine
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3.  Year-Long Rhinovirus Infection is Influenced by Atmospheric Conditions, Outdoor Air Virus Presence, and Immune System-Related Genetic Polymorphisms.

Authors:  Ana Filipa Rodrigues; Ana Mafalda Santos; Ana Maria Ferreira; Roberta Marino; Maria Esmeralda Barreira; José Manuel Cabeda
Journal:  Food Environ Virol       Date:  2019-07-26       Impact factor: 2.778

4.  Modelling respiratory infection control measure effects.

Authors:  C M Liao; S C Chen; C F Chang
Journal:  Epidemiol Infect       Date:  2007-05-16       Impact factor: 2.451

Review 5.  Detection of respiratory viruses by molecular methods.

Authors:  James B Mahony
Journal:  Clin Microbiol Rev       Date:  2008-10       Impact factor: 26.132

6.  An optimized method to detect influenza virus and human rhinovirus from exhaled breath and the airborne environment.

Authors:  Patricia Fabian; James Joseph McDevitt; Wai-Ming Lee; Eugene Andres Houseman; Donald Kirby Milton
Journal:  J Environ Monit       Date:  2008-12-01

7.  Airborne influenza virus detection with four aerosol samplers using molecular and infectivity assays: considerations for a new infectious virus aerosol sampler.

Authors:  P Fabian; J J McDevitt; E A Houseman; D K Milton
Journal:  Indoor Air       Date:  2009-05-26       Impact factor: 5.770

8.  Indoor air quality and the risk of lower respiratory tract infections in young Canadian Inuit children.

Authors:  Thomas Kovesi; Nicolas L Gilbert; Corinne Stocco; Don Fugler; Robert E Dales; Mireille Guay; J David Miller
Journal:  CMAJ       Date:  2007-07-17       Impact factor: 8.262

9.  Ambient influenza and avian influenza virus during dust storm days and background days.

Authors:  Pei-Shih Chen; Feng Ta Tsai; Chien Kun Lin; Chun-Yuh Yang; Chang-Chuan Chan; Chea-Yuan Young; Chien-Hung Lee
Journal:  Environ Health Perspect       Date:  2010-04-30       Impact factor: 9.031

10.  In China, students in crowded dormitories with a low ventilation rate have more common colds: evidence for airborne transmission.

Authors:  Yuexia Sun; Zhigang Wang; Yufeng Zhang; Jan Sundell
Journal:  PLoS One       Date:  2011-11-16       Impact factor: 3.240

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