Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems

dc.creatorZorzi, Carla Gabriela Carlot
dc.creatorNeckel, Alcindo
dc.creatorStolfo Maculan, Laércio
dc.creatorTibério Cardoso, Grace
dc.creatorDal Moro, Leila
dc.creatorAlmeida Del Savio, Alexandre
dc.date2022-05-25T22:23:59Z
dc.date2022-05-25T22:23:59Z
dc.date2021
dc.date.accessioned2023-10-03T19:06:10Z
dc.date.available2023-10-03T19:06:10Z
dc.identifier1674-9871
dc.identifierhttps://hdl.handle.net/11323/9192
dc.identifierhttps://doi.org/10.1016/j.gsf.2021.101279
dc.identifier10.1016/j.gsf.2021.101279
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9167699
dc.descriptionThe 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.
dc.format13 páginas
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherChina University of Geosciences (Beijing) and Peking University
dc.publisherChina
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dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rights2021 China University of Geosciences (Beijing) and Peking University. Production and hosting by Elsevier B.V.
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.sourcehttps://www.sciencedirect.com/science/article/pii/S1674987121001432
dc.subjectCOVID-19 global epidemic
dc.subjectDimensional analysis
dc.subjectWind velocity
dc.subjectHospital environment
dc.subjectContamination
dc.titleGeo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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