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Viruses
Article . 2022
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Inactivation Rates for Airborne Human Coronavirus by Low Doses of 222 nm Far-UVC Radiation.

Authors: David Welch; Manuela Buonanno; Andrew G. Buchan; Liang Yang; Kirk D. Atkinson; Igor Shuryak; David J. Brenner;

Inactivation Rates for Airborne Human Coronavirus by Low Doses of 222 nm Far-UVC Radiation.

Abstract

Recent research using UV radiation with wavelengths in the 200–235 nm range, often referred to as far-UVC, suggests that the minimal health hazard associated with these wavelengths will allow direct use of far-UVC radiation within occupied indoor spaces to provide continuous disinfection. Earlier experimental studies estimated the susceptibility of airborne human coronavirus OC43 exposed to 222-nm radiation based on fitting an exponential dose–response curve to the data. The current study extends the results to a wider range of doses of 222 nm far-UVC radiation and uses a computational model coupling radiation transport and computational fluid dynamics to improve dosimetry estimates. The new results suggest that the inactivation of human coronavirus OC43 within our exposure system is better described using a bi-exponential dose–response relation, and the estimated susceptibility constant at low doses—the relevant parameter for realistic low dose rate exposures—was 12.4 ± 0.4 cm2/mJ, which described the behavior of 99.7% ± 0.05% of the virus population. This new estimate is more than double the earlier susceptibility constant estimates that were based on a single-exponential dose response. These new results offer further evidence as to the efficacy of far-UVC to inactivate airborne pathogens. EPSRC: EP/M022684/2 and Natural Sciences and Engineering Research Council of Canada (NSERC): IRCPJ 549979-19.

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United Kingdom
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Keywords

ultraviolet radiation; far-UVC; coronavirus; airborne; radiation transport; computational fluid dynamics, ultraviolet radiation, SARS-CoV-2, Ultraviolet Rays, coronavirus, airborne, COVID-19, computational fluid dynamics, radiation transport, Coronavirus OC43, Human, Disinfection, Infectious Diseases, far-UVC, Virology, Humans, Virus Inactivation

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
5
Top 10%
Average
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30
Funded by
NSERC
Project
  • Funder: Natural Sciences and Engineering Research Council of Canada (NSERC)
,
UKRI| Predictive Modelling for Nuclear Engineering
Project
  • Funder: UK Research and Innovation (UKRI)
  • Project Code: EP/M022684/2
  • Funding stream: EPSRC
sysimport:actionset
,
NIH| Monochromatic 222 nm UV light: Development of a safe, cost-effective technology for the efficient reduction of bacterial and viral infection and transmission
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R42AI125006-03
  • Funding stream: NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES
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