Literature DB >> 1907115

Airborne infection. Theoretical limits of protection achievable by building ventilation.

E A Nardell1, J Keegan, S A Cheney, S C Etkind.   

Abstract

Of 67 office workers 27 (40%) had documented tuberculin skin test conversions after an estimated 4-wk exposure to a coworker with cavitary tuberculosis. Worker complaints for more than 2 yr before the tuberculosis exposure prompted investigations of air quality in the building before and after the tuberculosis exposure. Carbon dioxide concentrations in many parts of the building were found to be above recommended levels, indicating suboptimal ventilation with outdoor air. We applied a mathematical model of airborne transmission to the data to assess the role of building ventilation and other transmission factors. We estimated that ventilation with outside air averaged about 15 feet 3/min (cfm) per occupant, the low end of acceptable ventilation, corresponding to CO2 levels of about 1,000 ppm. The model predicted that at 25 cfm per person 18 workers would have been infected (a 33% reduction) and at 35 cfm, a level considered optimal for comfort, that 13 workers would have been infected (an additional 19% reduction). Further increases in outdoor air ventilation would be impractical and would have resulted in progressively smaller increments in protection. According to the model, the index case added approximately 13 infectious doses (quanta) per hour (qph) to the office air during the exposure period, 10 times the average infectiousness reported in a large series of tuberculosis cases. Further modeling predicted that as infectiousness rises, ventilation would offer progressively less protection. We conclude that outdoor air ventilation that is inadequate for comfort may contribute to airborne infection but that the protection afforded to building occupants by ventilation above comfort levels may be inherently limited, especially when the level of exposure to infection is high.

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Year:  1991        PMID: 1907115     DOI: 10.1164/ajrccm/144.2.302

Source DB:  PubMed          Journal:  Am Rev Respir Dis        ISSN: 0003-0805


  54 in total

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2.  Improving the health of workers in indoor environments: priority research needs for a national occupational research agenda.

Authors:  Mark J Mendell; William J Fisk; Kathleen Kreiss; Hal Levin; Darryl Alexander; William S Cain; John R Girman; Cynthia J Hines; Paul A Jensen; Donald K Milton; Larry P Rexroat; Kenneth M Wallingford
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Review 3.  Transmission and Institutional Infection Control of Tuberculosis.

Authors:  Edward A Nardell
Journal:  Cold Spring Harb Perspect Med       Date:  2015-08-20       Impact factor: 6.915

4.  Tuberculosis in a South African prison - a transmission modelling analysis.

Authors:  Simon Johnstone-Robertson; Stephen D Lawn; Alex Welte; Linda-Gail Bekker; Robin Wood
Journal:  S Afr Med J       Date:  2011-11-01

5.  Infection risk in gyms during physical exercise.

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6.  Averting epidemics of extensively drug-resistant tuberculosis.

Authors:  Sanjay Basu; Gerald H Friedland; Jan Medlock; Jason R Andrews; N Sarita Shah; Neel R Gandhi; Anthony Moll; Prashini Moodley; A Willem Sturm; Alison P Galvani
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-13       Impact factor: 11.205

Review 7.  The transmission and control of XDR TB in South Africa: an operations research and mathematical modelling approach.

Authors:  S Basu; A P Galvani
Journal:  Epidemiol Infect       Date:  2008-07-07       Impact factor: 2.451

8.  Mathematical models for assessing the role of airflow on the risk of airborne infection in hospital wards.

Authors:  Catherine J Noakes; P Andrew Sleigh
Journal:  J R Soc Interface       Date:  2009-10-07       Impact factor: 4.118

9.  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

10.  Modeling the role of public transportation in sustaining tuberculosis transmission in South Africa.

Authors:  Jason R Andrews; Carl Morrow; Robin Wood
Journal:  Am J Epidemiol       Date:  2013-02-18       Impact factor: 4.897

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