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Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems.
Zorzi, Carla Gabriela Carlot; Neckel, Alcindo; Maculan, Laércio Stolfo; Cardoso, Grace Tibério; Moro, Leila Dal; Savio, Alexandre Almeida Del; Carrasco, Leopoldo D Z; Oliveira, Marcos L S; Bodah, Eliane Thaines; Bodah, Brian William.
Affiliation
  • Zorzi CGC; Faculdade Meridional, IMED, 304- Passo Fundo - RS 99070-220, Brazil.
  • Neckel A; Faculdade Meridional, IMED, 304- Passo Fundo - RS 99070-220, Brazil.
  • Maculan LS; Faculdade Meridional, IMED, 304- Passo Fundo - RS 99070-220, Brazil.
  • Cardoso GT; Faculdade Meridional, IMED, 304- Passo Fundo - RS 99070-220, Brazil.
  • Moro LD; Faculdade Meridional, IMED, 304- Passo Fundo - RS 99070-220, Brazil.
  • Savio AAD; Universidad de Lima, Avenida Javier Prado Este 4600 - Santiago de Surco 1503, Peru.
  • Carrasco LDZ; Universidad de Lima, Avenida Javier Prado Este 4600 - Santiago de Surco 1503, Peru.
  • Oliveira MLS; Universidad de Lima, Avenida Javier Prado Este 4600 - Santiago de Surco 1503, Peru.
  • Bodah ET; Department of Civil and Environmental. Universidad de la Costa, CUC, Calle 58 # 55-66, Barranquilla, Atlántico, Colombia.
  • Bodah BW; State University of New York, Onondaga Community College, 4585 West Seneca Turnpike, Syracuse, NY 13215, USA.
Geosci Front ; 13(6): 101279, 2022 Nov.
Article in En | MEDLINE | ID: mdl-38620951
ABSTRACT
The novel coronavirus, SARS-CoV-2, has the potential to cause natural ventilation systems in hospital environments to be rendered inadequate, not only for workers but also for people who transit through these environments even for a limited duration. Studies in of the fields of geosciences and engineering, when combined with appropriate technologies, allow for the possibility of reducing the impacts of the SARS-CoV-2 virus in the environment, including those of hospitals which are critical centers for healthcare. In this work, we build parametric 3D models to assess the possible circulation of the SARS-CoV-2 virus in the natural ventilation system of a hospital built to care infected patients during the COVID-19 pandemic. Building Information Modeling (BIM) was performed, generating 3D models of hospital environments utilizing Revit software for Autodesk CFD 2021. The evaluation considered dimensional analyses of 0°, 45°, 90° and 180°. The analysis of natural ventilation patterns on both internal and external surfaces and the distribution of windows in relation to the displacement dynamics of the SARS-CoV-2 virus through the air were considered. The results showed that in the external area of the hospital, the wind speed reached velocities up to 2.1 m/s when entering the building through open windows. In contact with the furniture, this value decreased to 0.78 m/s. In some internal isolation wards that house patients with COVID-19, areas that should be equipped with negative room pressure, air velocity was null. Our study provides insights into the possibility of SARS-CoV-2 contamination in internal hospital environments as well as external areas surrounding hospitals, both of which encounter high pedestrian traffic in cities worldwide.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Geosci Front Year: 2022 Document type: Article Affiliation country: Brazil Country of publication: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Geosci Front Year: 2022 Document type: Article Affiliation country: Brazil Country of publication: Netherlands