Evidence map›Paper›PMID 35592762›Full record

ReviewRoyal Society open science2022

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

Marc E J Stettler, Robert T Nishida, Pedro M de Oliveira, Léo C C Mesquita, Tyler J Johnson, Edwin R Galea, Angus Grandison, John Ewer, David Carruthers, David Sykes and 9 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Royal Society open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Constant vs. cyclic flow when testing face masks and respirators as source control devices for simulated respiratory aerosols.Aerosol science and technology : the journal of the American Association for Aerosol Research · 2023
    Article
  3. Review
  4. Article
  5. Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Marc E J StettlerDepartment of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-2066-9380
Robert T NishidaDepartment of Mechanical Engineering, University of Alberta, Edmonton, Alberta, Canada T6G 2G8.ORCID https://orcid.org/0000-0002-9820-1569
Pedro M de OliveiraDepartment of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK.ORCID 0000-0002-5527-8128
Léo C C MesquitaDepartment of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK.ORCID https://orcid.org/0000-0001-5086-696X
Tyler J JohnsonDepartment of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK.ORCID https://orcid.org/0000-0002-3641-0381
Edwin R GaleaFire Safety Engineering Group, University of Greenwich, London SE10 9LS, UK.ORCID https://orcid.org/0000-0002-0001-6665
Angus GrandisonFire Safety Engineering Group, University of Greenwich, London SE10 9LS, UK.ORCID https://orcid.org/0000-0002-9714-1605
John EwerFire Safety Engineering Group, University of Greenwich, London SE10 9LS, UK.ORCID https://orcid.org/0000-0003-0609-272X
David CarruthersCambridge Environmental Research Consultants Ltd, 3 Kings Parade, Cambridge CB2 1SJ, UK.ORCID https://orcid.org/0000-0003-3363-0992
David SykesAEROS Consultancy, Glasgow G3 8SE, UK.ORCID 0000-0002-7578-890X
Prashant KumarGlobal Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, UK.ORCID https://orcid.org/0000-0002-2462-4411
Eldad AvitalSchool of Engineering and Materials Science, Queen Mary University of London, London E1 4NS, UK.ORCID https://orcid.org/0000-0003-4411-1493
Asiri I B ObeysekaraApplied Modelling and Computation Group, Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, UK.
Denis DoorlyDepartment of Aeronautics, Imperial College London, London SW7 2AZ, UK.ORCID https://orcid.org/0000-0002-5372-4702
Yannis HardalupasDepartment of Mechanical Engineering, Imperial College London, London SW7 2AZ, UK.ORCID https://orcid.org/0000-0002-8306-5429
David C GreenMRC Centre for Environment and Health, Environmental Research Group, Imperial College London, Michael Uren Biomedical Engineering Hub, London, W12 OBZ, UK.ORCID https://orcid.org/0000-0002-0695-4660
Simon ColdrickHealth and Safety Executive, Harpur Hill, Buxton, Derbyshire SK17 9JN UK.
Simon ParkerDefence Science and Technology Laboratory, Porton Down, Salisbury SP4 0JQ, UK.
Adam M BoiesDepartment of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK.ORCID https://orcid.org/0000-0003-2915-3273

Funding

Medical Research Council MR/S019669/1
6 · The paper itself

Abstract

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.

Indexed as

disease transmissionexhaled aerosolsmodel benchmarkingSARS-CoV-2source terms

Identifiers

PMID35592762
PMCPMC9066307

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.