Source terms for benchmarking models of SARS-CoV-2 transmission via aerosols and droplets.

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dc.contributor.authorStettler, Marc EJ
dc.contributor.authorNishida, Robert T
dc.contributor.authorde Oliveira, Pedro M
dc.contributor.authorMesquita, Léo CC
dc.contributor.authorJohnson, Tyler J
dc.contributor.authorGalea, Edwin R
dc.contributor.authorGrandison, Angus
dc.contributor.authorEwer, John
dc.contributor.authorCarruthers, David
dc.contributor.authorSykes, David
dc.contributor.authorKumar, Prashant
dc.contributor.authorAvital, Eldad
dc.contributor.authorObeysekara, Asiri IB
dc.contributor.authorDoorly, Denis
dc.contributor.authorHardalupas, Yannis
dc.contributor.authorGreen, David C
dc.contributor.authorColdrick, Simon
dc.contributor.authorParker, Simon
dc.contributor.authorBoies, Adam M
dc.date.accessioned2022-05-09T09:12:28Z
dc.date.available2022-05-09T09:12:28Z
dc.date.issued2022-05
dc.date.submitted2021-12-23
dc.identifier.issn2054-5703
dc.identifier.otherrsos212022
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/336846
dc.description.abstractThere is ongoing and rapid advancement in approaches to modelling the fate of exhaled particles in different environments relevant to disease transmission. It is important that models are verified by comparison with each other using a common set of input parameters to ensure that model differences can be interpreted in terms of model physics rather than unspecified differences in model input parameters. In this paper, we define parameters necessary for such benchmarking of models of airborne particles exhaled by humans and transported in the environment during breathing and speaking.
dc.languageen
dc.publisherThe Royal Society
dc.subjectSARS-CoV-2
dc.subjectdisease transmission
dc.subjectexhaled aerosols
dc.subjectmodel benchmarking
dc.subjectsource terms
dc.titleSource terms for benchmarking models of SARS-CoV-2 transmission via aerosols and droplets.
dc.typeArticle
dc.date.updated2022-05-09T09:12:27Z
prism.issueIdentifier5
prism.publicationNameR Soc Open Sci
prism.volume9
dc.identifier.doi10.17863/CAM.84265
dcterms.dateAccepted2022-04-13
rioxxterms.versionofrecord10.1098/rsos.212022
rioxxterms.versionAO
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidStettler, Marc EJ [0000-0002-2066-9380]
dc.contributor.orcidNishida, Robert T [0000-0002-9820-1569]
dc.contributor.orcidde Oliveira, Pedro M [0000-0002-5527-8128]
dc.contributor.orcidMesquita, Léo CC [0000-0001-5086-696X]
dc.contributor.orcidJohnson, Tyler J [0000-0002-3641-0381]
dc.contributor.orcidGalea, Edwin R [0000-0002-0001-6665]
dc.contributor.orcidGrandison, Angus [0000-0002-9714-1605]
dc.contributor.orcidEwer, John [0000-0003-0609-272X]
dc.contributor.orcidCarruthers, David [0000-0003-3363-0992]
dc.contributor.orcidSykes, David [0000-0002-7578-890X]
dc.contributor.orcidKumar, Prashant [0000-0002-2462-4411]
dc.contributor.orcidAvital, Eldad [0000-0003-4411-1493]
dc.contributor.orcidDoorly, Denis [0000-0002-5372-4702]
dc.contributor.orcidHardalupas, Yannis [0000-0002-8306-5429]
dc.contributor.orcidGreen, David C [0000-0002-0695-4660]
dc.contributor.orcidBoies, Adam M [0000-0003-2915-3273]
dc.identifier.eissn2054-5703
cam.issuedOnline2022-05-04


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