Evidence map›Paper›PMID 34853105›Full record

ArticleBMJ open2021

Expert elicitation on the relative importance of possible SARS-CoV-2 transmission routes and the effectiveness of mitigations.

Alexandra Lj Freeman, Simon Parker, Catherine Noakes, Shaun Fitzgerald, Alexandra Smyth, Ron Macbeth, David Spiegelhalter, Harry Rutter

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

8 authors.

Alexandra Lj FreemanWinton Centre for Risk & Evidence Communication, University of Cambridge, Cambridge, UK alex.freeman@maths.cam.ac.uk.ORCID 0000-0002-4115-161X
Simon ParkerDefence Science and Technology Laboratory, Salisbury, UK.ORCID 0000-0002-9451-3987
Catherine NoakesSchool of Civil Engineering, University of Leeds, Leeds, UK.ORCID 0000-0003-3084-7467
Shaun FitzgeraldCentre for Climate Repair at Cambridge, University of Cambridge, Cambridge, UK.ORCID 0000-0003-2178-496X
Alexandra SmythRoyal Academy of Engineering, London, UK.
Ron MacbethHealth and Safety Executive, Buxton, UK.
David SpiegelhalterWinton Centre for Risk & Evidence Communication, University of Cambridge, Cambridge, UK.ORCID 0000-0001-9350-6745
Harry RutterUniversity of Bath, Bath, UK.ORCID 0000-0002-9322-0656

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo help people make decisions about the most effective mitigation measures against SARS-CoV-2 transmission in different scenarios, the likelihoods of transmission by different routes need to be quantified to some degree (however uncertain). These likelihoods need to be communicated in an appropriate way to illustrate the relative importance of different routes in different scenarios, the likely effectiveness of different mitigation measures along those routes, and the level of uncertainty in those estimates. In this study, a pragmatic expert elicitation was undertaken to supply the underlying quantitative values to produce such a communication tool.

participantsTwenty-seven individual experts from five countries and many scientific disciplines provided estimates. OUTCOME MEASURES: Estimates of transmission parameters, assessments of the quality of the evidence, references to relevant literature, rationales for their estimates and sources of uncertainty. RESULTS AND

conclusionThe participants' responses showed that there is still considerable disagreement among experts about the relative importance of different transmission pathways and the effectiveness of different mitigation measures due to a lack of empirical evidence. Despite these disagreements, when pooled, the majority views on each parameter formed an internally consistent set of estimates (for example, that transmission was more likely indoors than outdoors, and at closer range), which formed the basis of a visualisation to help individuals and organisations understand the factors that influence transmission and the potential benefits of different mitigation measures.

Indexed as

COVID-19SARS-CoV-2HumansCOVID-19infection controlpublic health

Identifiers

PMID34853105
PMCPMC8637346

What OpenQuestion holds

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LicenceCC BY-NC
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.