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dc.contributor.authorTrivedi, Shrey
dc.contributor.authorGkantonas, Savvas
dc.contributor.authorMesquita, Léo CC
dc.contributor.authorIavarone, Salvatore
dc.contributor.authorde Oliveira, Pedro M
dc.contributor.authorMastorakos, Epaminondas
dc.date.accessioned2022-02-11T02:33:57Z
dc.date.available2022-02-11T02:33:57Z
dc.date.issued2021-11
dc.identifier.citationPhysics of fluids (Woodbury, N.Y. : 1994), volume 33, issue 11, page 115130
dc.identifier.issn1070-6631
dc.identifier.other35002201
dc.identifier.otherPMC8726635
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/333899
dc.description.abstractIn this paper, the statistical distributions of the position and the size of the evaporating droplets after a cough are evaluated, thus characterizing the inherent stochasticity of respiratory releases due to turbulence. For that, ten independent realizations of a cough with realistic initial conditions and in a room at 20 °C and 40% relative humidity were performed with large eddy simulations and Lagrangian tracking of the liquid phase. It was found that although turbulence decreases far from the emitter, it results in large variations in the spatial distribution of the droplets. The total suspended liquid mass after 60 s from the cough is in good agreement with that estimated by a one-dimensional model accounting for settling and evaporation under quiescent conditions, while deposition times of droplets in the 10-100 μm range are found to vary significantly, reflected in the mass of liquid, and hence the virus content, potentially inhaled by a receptor. The high variability between events is due to the local fluctuations of temperature, humidity, and velocity on droplet evaporation and motion. The droplet distribution suggests that, in the absence of face coverings, an unprotected cough is not safe at 2 m away from the emitter even outdoors. The results indicate that mitigation measures, such as ventilation to address long-range transmission, can be based on the total suspended liquid content evaluated from reduced-order models. However, the large variability of viral content in the near field produces wide variations in estimates of risk; therefore, a stochastic approach is needed for evaluating short-range transmission risk.
dc.languageeng
dc.publisherAIP Publishing
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourcenlmid: 101286829
dc.sourceessn: 1089-7666
dc.titleEstimates of the stochasticity of droplet dispersion by a cough.
dc.typeArticle
dc.date.updated2022-02-11T02:33:56Z
prism.publicationNamePhys Fluids (1994)
dc.identifier.doi10.17863/CAM.81315
dcterms.dateAccepted2021-10-24
rioxxterms.versionofrecord10.1063/5.0070528
rioxxterms.versionVoR
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidTrivedi, Shrey [0000-0003-2683-8699]
dc.contributor.orcidGkantonas, Savvas [0000-0002-5354-578X]
dc.contributor.orcidMesquita, Léo CC [0000-0001-5086-696X]
dc.contributor.orcidIavarone, Salvatore [0000-0003-1763-0378]
dc.contributor.orcidde Oliveira, Pedro M [0000-0002-5527-8128]
dc.contributor.orcidMastorakos, Epaminondas [0000-0001-8245-5188]
dc.identifier.eissn1089-7666
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/P020259/1)


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International