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

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 engin...

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Autores:: Zorzi, Carla Gabriela Carlot
Neckel, Alcindo
Stolfo Maculan, Laércio
Tibério Cardoso, Grace
Dal Moro, Leila
Almeida Del Savio, Alexandre

Tipo de recurso:: Article of journal

Fecha de publicación:: 2021

Institución:: Corporación Universidad de la Costa

Repositorio:: REDICUC - Repositorio CUC

Idioma:: eng

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dc.title.eng.fl_str_mv	Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems
title	Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems
spellingShingle	Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems COVID-19 global epidemic Dimensional analysis Wind velocity Hospital environment Contamination
title_short	Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems
title_full	Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems
title_fullStr	Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems
title_full_unstemmed	Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems
title_sort	Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems
dc.creator.fl_str_mv	Zorzi, Carla Gabriela Carlot Neckel, Alcindo Stolfo Maculan, Laércio Tibério Cardoso, Grace Dal Moro, Leila Almeida Del Savio, Alexandre
dc.contributor.author.spa.fl_str_mv	Zorzi, Carla Gabriela Carlot Neckel, Alcindo Stolfo Maculan, Laércio Tibério Cardoso, Grace Dal Moro, Leila Almeida Del Savio, Alexandre
dc.subject.proposal.eng.fl_str_mv	COVID-19 global epidemic Dimensional analysis Wind velocity Hospital environment Contamination
topic	COVID-19 global epidemic Dimensional analysis Wind velocity Hospital environment Contamination
description	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.
publishDate	2021
dc.date.issued.none.fl_str_mv	2021
dc.date.accessioned.none.fl_str_mv	2022-05-25T22:23:59Z
dc.date.available.none.fl_str_mv	2022-05-25T22:23:59Z
dc.type.spa.fl_str_mv	Artículo de revista
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dc.type.version.spa.fl_str_mv	info:eu-repo/semantics/acceptedVersion
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dc.identifier.issn.spa.fl_str_mv	1674-9871
dc.identifier.uri.spa.fl_str_mv	https://hdl.handle.net/11323/9192
dc.identifier.url.spa.fl_str_mv	https://doi.org/10.1016/j.gsf.2021.101279
dc.identifier.doi.spa.fl_str_mv	10.1016/j.gsf.2021.101279
dc.identifier.instname.spa.fl_str_mv	Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv	REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv	https://repositorio.cuc.edu.co/
identifier_str_mv	1674-9871 10.1016/j.gsf.2021.101279 Corporación Universidad de la Costa REDICUC - Repositorio CUC
url	https://hdl.handle.net/11323/9192 https://doi.org/10.1016/j.gsf.2021.101279 https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv	eng
language	eng
dc.relation.ispartofjournal.spa.fl_str_mv	Geoscience Frontiers
dc.relation.references.spa.fl_str_mv	Abrahão et al., 2021 J.S. Abrahão, L. Sacchetto, I.M. Rezende, R.A.L. Rodrigues, A.P.C. Crispim, C. Moura, D.C. Mendonça, E. Reis, F. Souza, G.F.G. Oliveira Detection of SARS-CoV-2 RNA on public surfaces in a densely populated urban area of Brazil: a potential tool for monitoring the circulation of infected patients Sci. Total Environ., 766 (2021), Article 142645 Aghalari et al., 2021 Z. Aghalari, H.U. Dahms, J.E. Sosa-Hernandez, M.A. Oyervides-Muñoz, R. Parra-Saldívar Evaluation of SARS-COV-2 transmission through indoor air in hospitals and prevention methods: a systematic review Environ. Res., 195 (2021), Article 110841 Ahmed et al., 2021 T. Ahmed, P. Kumar, L. Mottet Natural ventilation in warm climates: the challenges of thermal comfort, heatwave resilience and indoor air quality Renew. Sustain. Energy Rev., 138 (2021), Article 110669 Autodesk CFD, 2021 Autodesk CFD, 2021. Turbulence. Autodesk CFD 2021. 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Saf., 202 (2020), Article 107045 Calautit et al., 2020 J.K. Calautit, D. O’Connor, P.W. Tien, S.Y. Wei, C.A.J. Pantua, B. Hughes Development of a natural ventilation windcatcher with passive heat recovery wheel for mild-cold climates: CFD and experimental analysis Renew. Energy, 160 (2020), pp. 465-482 Cao et al., 2021 Y.X. Cao, L.Y. Shao, T. Jones, M.L.S. Oliveira, S. Ge, X. Feng, L.F.O. Silva, K. Bérubé Multiple relationships between aerosol and COVID-19: a framework for global studies Gondwana Res., 93 (2021), pp. 243-251 Carraturo et al., 2020 F. Carraturo, C.D. Giudice, M. Morelli, V. Cerullo, G. Libralato, E. Galdiero, M. Guida Persistence of SARS-CoV-2 in the environment and COVID-19 transmission risk from environmental matrices and surfaces Environ. Pollut., 265 (2020), Article 115010 Chen et al., 2019 J.L. Chen, G.S. Brager, G. Augenbroe, X.Y. Song Impact of outdoor air quality on the natural ventilation usage of commercial buildings in the US Appl. 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Brazilian Institute of Geography and Statistics. Demographic Data of 2021 - Brazil. https://cidades.ibge.gov.br/. INMET, 2016 INMET (Brazilian Institute of Meteorology). 2016. Climate archives. http://www.mme.gov.br/projeteee/dados-climaticos/. Jansi et al., 2021 R.S. Jansi, A. Khusro, P. Agastian, A. Alfarhan, N.A. Al-Dhabi, M.V. Arasu, R. Rajagopal, D. Barcelo, A. Al-Tamimi Emerging paradigms of viral diseases and paramount role of natural resources as antiviral agents Sci. Total Environ., 759 (2021), Article 143539 Jing et al., 2021 J.K. Jing, S.Z. Ke, T.J. Li, T. Wang Energy method of geophysical logging lithology based on K-means dynamic clustering analysis Environ. Technol. Innov., 23 (2021), Article 101534 Johansson and Wasim, 2020 E. Johansson, M. Wasim Wind comfort and solar access in a coastal development in Malmö, Sweden Urban Clim., 33 (2020), Article 100645 Kenarkoohi et al., 2020 A. Kenarkoohi, Z. Noorimotlagh, S. Falahi, A. Amarloei, S.A. Mirzaee, I. Pakzad, E. Bastani Hospital indoor air quality monitoring for the detection of SARS-CoV-2 (COVID-19) virus Sci. Total Environ., 748 (2020), Article 141324 Kim et al., 2020 R.W. Kim, S.W. Hong, T. Norton, T. Amon, A. Youssef, D. Berckmans, I.B. Lee Computational fluid dynamics for non-experts: development of a user-friendly CFD simulator (Hnvr-Sys) for natural ventilation design applications Biosyst. Eng., 193 (2020), pp. 232-246 Kristianto et al., 2014 M.A. Kristianto, N.A. Utama, A.M. Fathoni Analyzing indoor environment of Minahasa Traditional House Using CFD Procedia Environ. Sci., 20 (2014), pp. 172-179 Lane et al., 2020 M.A. Lane, E.A. Brownsword, J.S. Morgan, A. Babiker, S.A. Vanairsdale, G.M. Lyon, A.K. Mehta, J.M. Ingersoll, W.G. Lindsley, C.S. Kraft Bioaerosol sampling of a ventilated patient with COVID-19 Am. J. Infect. Control, 48 (12) (2020), pp. 1540-1542 Li and Chen, 2020 Y. Li, L. Chen A study on database of modular façade retrofitting building envelope Energy Build., 214 (2020), Article 109826 Liu and Lee, 2020 T. Liu, W.L. Lee Evaluating the influence of transom window designs on natural ventilation in high-rise residential buildings in Hong Kong Sustain. Cities Soc., 62 (2020), Article 102406 López et al., 2021 J.H. López, Á.S. Romo, D.C. Molina, G.Á. Hernández, Á.B.G. Cureño, M.A. Acosta, C.A.A. Gaxiola, M.J.S. Félix, T.G. Galván Detection of Sars-Cov-2 in the air of two hospitals in Hermosillo, Sonora, México, utilizing a low-cost environmental monitoring system J. Glob. Infect. Dis., 102 (2021), pp. 478-482 Lou et al., 2020 L. Lou, D.H. Shou, H. Park, D.L. Zhao, Y.S. Wu, X.N. Hui, R.G. Yang, E.C. Kan, J.T. Fan Thermoelectric air conditioning undergarment for personal thermal management and HVAC energy saving Energy Build., 226 (2020), Article 110374 Ly and Cornelisse, 2019 Ly, A., Cornelisse, J., 2019. 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spelling	Zorzi, Carla Gabriela CarlotNeckel, AlcindoStolfo Maculan, LaércioTibério Cardoso, GraceDal Moro, Leila Almeida Del Savio, Alexandre2022-05-25T22:23:59Z2022-05-25T22:23:59Z20211674-9871https://hdl.handle.net/11323/9192https://doi.org/10.1016/j.gsf.2021.10127910.1016/j.gsf.2021.101279Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/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.13 páginasapplication/pdfengChina University of Geosciences (Beijing) and Peking UniversityChinaAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)2021 China University of Geosciences (Beijing) and Peking University. Production and hosting by Elsevier B.V.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systemsArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionhttps://www.sciencedirect.com/science/article/pii/S1674987121001432Geoscience FrontiersAbrahão et al., 2021 J.S. Abrahão, L. Sacchetto, I.M. Rezende, R.A.L. Rodrigues, A.P.C. Crispim, C. Moura, D.C. Mendonça, E. Reis, F. Souza, G.F.G. Oliveira Detection of SARS-CoV-2 RNA on public surfaces in a densely populated urban area of Brazil: a potential tool for monitoring the circulation of infected patients Sci. Total Environ., 766 (2021), Article 142645Aghalari et al., 2021 Z. Aghalari, H.U. Dahms, J.E. 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Geochem., 122 (2020), Article 104748131COVID-19 global epidemicDimensional analysisWind velocityHospital environmentContaminationPublication7d9e64e9-de19-4c99-a7a1-d3fdeebfbfa70000-0002-6067-6606ORIGINALGeo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems.pdfGeo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems.pdfapplication/pdf5750939https://repositorio.cuc.edu.co/bitstreams/79f43a93-7cee-45ef-b85c-617ef9b5796b/downloadc6094b52eccd1e5d9aed38db7f0f09d8MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/79b3b707-91a4-4a09-859d-5bb601819593/downloade30e9215131d99561d40d6b0abbe9badMD52TEXTGeo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems.pdf.txtGeo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation 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Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems

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