Source terms for benchmarking models of SARS-CoV-2 transmission via aerosols and droplets Article Swipe
Marc Stettler
,
Robert T. Nishida
,
Pedro M. de Oliveira
,
Léo C. C. Mesquita
,
Tyler J. Johnson
,
Edwin R. Galea
,
Angus Grandison
,
J. Ewer
,
David Carruthers
,
D. Sykes
,
Prashant Kumar
,
Eldad Avital
,
Asiri Obeysekara
,
Denis Doorly
,
Yannis Hardalupas
,
David C. Green
,
Simon Coldrick
,
Simon T. Parker
,
Adam Boies
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1098/rsos.212022
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1098/rsos.212022
There 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.
Related Topics
Concepts
Benchmarking
Transmission (telecommunications)
Airborne transmission
Set (abstract data type)
Coronavirus disease 2019 (COVID-19)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Computer science
Disease transmission
Environmental science
Biology
Medicine
Virology
Disease
Infectious disease (medical specialty)
Telecommunications
Business
Marketing
Pathology
Programming language
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1098/rsos.212022
- OA Status
- gold
- Cited By
- 13
- References
- 111
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4225401966
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4225401966Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1098/rsos.212022Digital Object Identifier
- Title
-
Source terms for benchmarking models of SARS-CoV-2 transmission via aerosols and dropletsWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-05-01Full publication date if available
- Authors
-
Marc Stettler, Robert T. Nishida, Pedro M. de Oliveira, Léo C. C. Mesquita, Tyler J. Johnson, Edwin R. Galea, Angus Grandison, J. Ewer, David Carruthers, D. Sykes, Prashant Kumar, Eldad Avital, Asiri Obeysekara, Denis Doorly, Yannis Hardalupas, David C. Green, Simon Coldrick, Simon T. Parker, Adam BoiesList of authors in order
- Landing page
-
https://doi.org/10.1098/rsos.212022Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1098/rsos.212022Direct OA link when available
- Concepts
-
Benchmarking, Transmission (telecommunications), Airborne transmission, Set (abstract data type), Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Computer science, Disease transmission, Environmental science, Biology, Medicine, Virology, Disease, Infectious disease (medical specialty), Telecommunications, Business, Marketing, Pathology, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
13Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 3, 2023: 4, 2022: 3Per-year citation counts (last 5 years)
- References (count)
-
111Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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