About: Modelling aerosol transport and virus exposure with numerical simulations in relation to SARS-CoV-2 transmission by inhalation indoors

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Modelling aerosol transport and virus exposure with numerical simulations in relation to SARS-CoV-2 transmission by inhalation indoors Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Modelling aerosol transport and virus exposure with numerical simulations in relation to SARS-CoV-2 transmission by inhalation indoors
Creator	Aarnio, M Alava, M Alopaeus, V Atanasova, N Auvinen, M Salmenjoki, H Sironen, T Vuorinen, V Balasubramanian, N Bordbar, H Erästö, P Grande, R Hayward, N Hellsten, A Hokkanen, J Hostikka, S Kaario, O Karvinen, A Kivistö, I Korhonen, M Kosonen, R Kuusela, J Laurila, E Lestinen, S Nieminen, H Peltonen, P Pokki, J Puisto, A Råback, P
Source	ArXiv
abstract	We provide research findings on the physics of aerosol dispersion relevant to the hypothesized aerosol transmission of SARS-CoV-2. We utilize physics-based modeling at different levels of complexity, and literature on coronaviruses, to investigate the possibility of airborne transmission. The previous literature, our 0D-3D simulations by various physics-based models, and theoretical calculations, indicate that the typical size range of speech and cough originated droplets (d<20microns) allows lingering in the air for O(1h) so that they could be inhaled. Consistent with the previous literature, numerical evidence on the rapid drying process of even large droplets, up to sizes O(100microns), into droplet nuclei/aerosols is provided. Based on the literature and the public media sources, we provide evidence that the infected individuals could have been exposed to aerosols/droplet nuclei by inhaling them in significant numbers e.g. O(100). By 3D computational fluid dynamics (CFD) simulations, we give examples on the transport and dilution of aerosols (d<20microns) over distances O(10m) in generic environments. We study susceptible and infected individuals in generic public places by Monte-Carlo modeling. The model accounts for the locally varying aerosol concentration levels which the susceptible accumulate via inhalation. The introduced concept, 'exposure time' to virus containing aerosols is proposed to complement the traditional 'safety distance' thinking. We show that the exposure time to inhale O(100) aerosols could range from O(1s) to O(1min) or even to O(1h) depending on the situation. The Monte Carlo analysis provides clear quantitative insight to the exposure time in different public indoor environments.
has issue date	2020-05-26(xsd:dateTime)
has license	arxiv
sha1sum (hex)	2210bf2bb97e9c75f051e1f2a266ed4e4a898569
resource representing a document's title	Modelling aerosol transport and virus exposure with numerical simulations in relation to SARS-CoV-2 transmission by inhalation indoors
resource representing a document's body	covid:2210bf2bb97e9c75f051e1f2a266ed4e4a898569#body_text
is schema:about of	named entity 'droplets' named entity 'inhaling' named entity 'modeling' named entity 'numbers' named entity 'possibility' named entity 'evidence' named entity 'transmission' named entity 'BASED' named entity 'literature' named entity 'tested' named entity 'positive' named entity 'sizes' named entity 'models' named entity 'originated' named entity 'COVID-19' named entity 'drying' named entity 'droplets' named entity 'individuals' named entity 'provide' named entity 'Consistent' named entity 'simulations' named entity 'aerosol' named entity 'SARS-CoV-2' named entity 'aerosols' named entity 'numerical simulations' named entity 'virus' named entity 'aerosol' named entity 'dilution' named entity 'homogeneous isotropic turbulence' named entity 'washing hands' named entity 'virus' named entity 'surfactants' named entity 'CFD' named entity 'aerosol particles' named entity 'contaminated surfaces' named entity 'Airborne transmission' named entity 'aerosol cloud' named entity 'experimental studies' named entity 'log-normal distribution' named entity 'cough' named entity 'pathogen' named entity 'micron' named entity 'particle image velocimetry' named entity 'OpenFOAM' named entity 'long time' named entity 'COVID-19 disease' named entity 'cough' named entity 'surfactants' named entity 'particle emission' named entity 'buoyant plumes' named entity 'COVID' named entity 'airborne transmission' named entity 'aerosol' named entity 'left column' named entity 'mucus' named entity 'aerosol' named entity 'aerosol' named entity 'nuclei' named entity 'evap'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software