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Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems
Affiliation:1. Faculdade Meridional, IMED, 304- Passo Fundo - RS 99070-220, Brazil;2. Universidad de Lima, Avenida Javier Prado Este 4600 – Santiago de Surco 1503, Peru;3. Department of Civil and Environmental. Universidad de la Costa, CUC, Calle 58 # 55–66, Barranquilla, Atlántico, Colombia;4. State University of New York, Onondaga Community College, 4585 West Seneca Turnpike, Syracuse, NY 13215, USA;5. Thaines and Bodah Center for Education and Development, 840 South Meadowlark Lane, Othello, WA 99344, USA
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.
Keywords:COVID-19 global epidemic  Dimensional analysis  Wind velocity  Hospital environment  Contamination
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