Evidence map›Paper›PMID 38122820›Full record

ArticleNature2024

Digital measurement of SARS-CoV-2 transmission risk from 7 million contacts.

Luca Ferretti, Chris Wymant, James Petrie, Daphne Tsallis, Michelle Kendall, Alice Ledda, Francesco Di Lauro, Adam Fowler, Andrea Di Francia, Jasmina Panovska-Griffiths and 4 more

Abstract read
In one paragraph

Article in Nature, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  18. Review
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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

14 authors.

Luca Ferretti *Pandemic Sciences Institute, Nuffield Department for Medicine, University of Oxford, Oxford, UK. luca.ferretti@bdi.ox.ac.uk.ORCID 0000-0001-7578-7301
Chris Wymant *Pandemic Sciences Institute, Nuffield Department for Medicine, University of Oxford, Oxford, UK.ORCID 0000-0002-9847-8226
James PetriePandemic Sciences Institute, Nuffield Department for Medicine, University of Oxford, Oxford, UK.ORCID 0000-0001-7959-7687
Daphne TsallisZühlke Engineering Ltd, London, UK.
Michelle KendallDepartment of Statistics, University of Warwick, Coventry, UK.ORCID 0000-0001-7344-7071
Alice LeddaUK Health Security Agency, London, UK.
Francesco Di LauroPandemic Sciences Institute, Nuffield Department for Medicine, University of Oxford, Oxford, UK.
Adam FowlerPandemic Sciences Institute, Nuffield Department for Medicine, University of Oxford, Oxford, UK.ORCID 0000-0003-3832-7036
Andrea Di FranciaUK Health Security Agency, London, UK.
Jasmina Panovska-GriffithsPandemic Sciences Institute, Nuffield Department for Medicine, University of Oxford, Oxford, UK.
Lucie Abeler-DörnerPandemic Sciences Institute, Nuffield Department for Medicine, University of Oxford, Oxford, UK.ORCID 0000-0003-3662-4192
Marcos CharalambidesThe Alan Turing Institute, London, UK.
Mark BriersThe Alan Turing Institute, London, UK.
Christophe FraserPandemic Sciences Institute, Nuffield Department for Medicine, University of Oxford, Oxford, UK. christophe.fraser@bdi.ox.ac.uk.ORCID 0000-0003-2399-9657

Funding

Li Ka Shing FoundationUK Department of Health and Social Care
6 · The paper itself

Abstract

How likely is it to become infected by SARS-CoV-2 after being exposed? Almost everyone wondered about this question during the COVID-19 pandemic. Contact-tracing apps

Indexed as

Contact TracingCOVID-19Mobile ApplicationsPublic HealthRisk AssessmentEnglandFamily CharacteristicsHumansModels, StatisticalPandemicsSARS-CoV-2State MedicineTime FactorsWales

Identifiers

PMID38122820
PMCPMC10830410

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.