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Study on ventilation rates and assessment of infection risks of COVID-19 in an outpatient building
A modified Wells-Riley model combining the airborne route and close contact route was proposed to predict the infection risks of coronavirus disease 2019 (COVID-19) in main functional spaces of an outpatient building in Shenzhen, China. The personnel densities and ventilation rates in the 20 waiting...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352663/ http://dx.doi.org/10.1016/j.jobe.2021.103090 |
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author | Li, Chunying Tang, Haida |
author_facet | Li, Chunying Tang, Haida |
author_sort | Li, Chunying |
collection | PubMed |
description | A modified Wells-Riley model combining the airborne route and close contact route was proposed to predict the infection risks of coronavirus disease 2019 (COVID-19) in main functional spaces of an outpatient building in Shenzhen, China. The personnel densities and ventilation rates in the 20 waiting rooms, outpatient hall and hospital street were on-site measured. The average fresh air volume per person and occupant area per person in the 20 waiting rooms were 77.6 m(3)/h and 6.47 m(2)/per, satisfied with the Chinese standard. The average waiting time of the occupants was 0.69 h. Thus, assuming the proportion of infected people in the outpatient building was 2%, the daily average infection probabilities of COVID-19 in the 20 waiting rooms were 0.19–1.88% with a reasonable setting of the quanta produced by an infector (q = 45 quanta/h) and the effective exposure dose of pathogen per unit close contact time (β = 0.05 h(−1)). The design of the semi-closed hospital street with a height of 24 m improved its natural ventilation with a fresh air volume per person of 70–185 m(3)/h and further dilute the viral aerosol and decreased the infection risk to a negligible level (i.e., below 0.04% with an infector proportion of 2%). The assessment method provides real-time prediction of indoor infection risk and good assist in spread control of COVID-19. |
format | Online Article Text |
id | pubmed-8352663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83526632021-08-10 Study on ventilation rates and assessment of infection risks of COVID-19 in an outpatient building Li, Chunying Tang, Haida Journal of Building Engineering Article A modified Wells-Riley model combining the airborne route and close contact route was proposed to predict the infection risks of coronavirus disease 2019 (COVID-19) in main functional spaces of an outpatient building in Shenzhen, China. The personnel densities and ventilation rates in the 20 waiting rooms, outpatient hall and hospital street were on-site measured. The average fresh air volume per person and occupant area per person in the 20 waiting rooms were 77.6 m(3)/h and 6.47 m(2)/per, satisfied with the Chinese standard. The average waiting time of the occupants was 0.69 h. Thus, assuming the proportion of infected people in the outpatient building was 2%, the daily average infection probabilities of COVID-19 in the 20 waiting rooms were 0.19–1.88% with a reasonable setting of the quanta produced by an infector (q = 45 quanta/h) and the effective exposure dose of pathogen per unit close contact time (β = 0.05 h(−1)). The design of the semi-closed hospital street with a height of 24 m improved its natural ventilation with a fresh air volume per person of 70–185 m(3)/h and further dilute the viral aerosol and decreased the infection risk to a negligible level (i.e., below 0.04% with an infector proportion of 2%). The assessment method provides real-time prediction of indoor infection risk and good assist in spread control of COVID-19. Elsevier Ltd. 2021-10 2021-08-10 /pmc/articles/PMC8352663/ http://dx.doi.org/10.1016/j.jobe.2021.103090 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Li, Chunying Tang, Haida Study on ventilation rates and assessment of infection risks of COVID-19 in an outpatient building |
title | Study on ventilation rates and assessment of infection risks of COVID-19 in an outpatient building |
title_full | Study on ventilation rates and assessment of infection risks of COVID-19 in an outpatient building |
title_fullStr | Study on ventilation rates and assessment of infection risks of COVID-19 in an outpatient building |
title_full_unstemmed | Study on ventilation rates and assessment of infection risks of COVID-19 in an outpatient building |
title_short | Study on ventilation rates and assessment of infection risks of COVID-19 in an outpatient building |
title_sort | study on ventilation rates and assessment of infection risks of covid-19 in an outpatient building |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352663/ http://dx.doi.org/10.1016/j.jobe.2021.103090 |
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