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Author:

Zhang, N. (Zhang, N..) | Xu, Z. (Xu, Z..) | Jin, T. (Jin, T..)

Indexed by:

Scopus

Abstract:

To address the high infection risk and difficulty on respiratory infectious disease prevention and control in catering space, this study analyzes close contact and surface touch behavior of individuals utilizing video episodes, while considering four transmission routes: short-range airborne, large droplet, long-range airborne, and fomite. A respiratory infectious disease transmission model was developed, incorporating a dose-response model to calculate the contribution of each transmission route. Results show that the probability of close contact of diners and staff is 98. 0% and 80. 3%, respectively, with 83. 0% of the interactions lasting no longer than 10 seconds. Both diners and staff touch surfaces for over 85. 4% of the time. 59. 6% of touches by staff are on public surface touches, which means staff prone to spread the virus within the catering space. Additionally, diners touch their mucous membrane 6. 8 times higher than staff, therefore, diners have a higher exposure potential through fomite transmission. Long-range airborne and short-range transmission are identified as the main routes of SARS-CoV-2 in the catering space, accounting for 57. 31% to 65. 44% and 24. 60% to 40. 56% of the relative contribution, respectively, while the total relative contribution of fomite and large droplet transmission is less than 9. 96% . © 2024 Beijing University of Technology. All rights reserved.

Keyword:

COVID-19 risk analysis fomite transmission large droplet transmission respiratory infectious disease airborne transmission catering space

Author Community:

  • [ 1 ] [Zhang N.]Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Xu Z.]Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Jin T.]Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing, 100124, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2024

Issue: 11

Volume: 50

Page: 1359-1368

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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