Evidence map›Paper›PMID 32576605›Full record

ArticleJournal of epidemiology and community health2020

Efficacy of contact tracing for the containment of the 2019 novel coronavirus (COVID-19).

Matt J Keeling, T Deirdre Hollingsworth, Jonathan M Read

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 176 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
176citing papers in PubMed, 6 pooled it
–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

176 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  5. Digital contact tracing technologies in epidemics: a rapid review.The Cochrane database of systematic reviews · 2020
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116 more citing papers are in PubMed but not listed here.

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

3 authors.

Matt J KeelingZeeman Institute (SBIDER), University of Warwick, Coventry, UK M.J.Keeling@warwick.ac.uk.ORCID http://orcid.org/0000-0003-4639-4765
T Deirdre HollingsworthBig Data Institute, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-5962-4238
Jonathan M ReadCentre for Health Informatics, Computing and Statistics, Lancaster Medical School, Lancaster University Faculty of Health and Medicine, Lancaster, UK.

Funding

Medical Research Council MR/V038613/1
6 · The paper itself

Abstract

objectiveContact tracing is a central public health response to infectious disease outbreaks, especially in the early stages of an outbreak when specific treatments are limited. Importation of novel coronavirus (COVID-19) from China and elsewhere into the UK highlights the need to understand the impact of contact tracing as a control measure.

designDetailed survey information on social encounters from over 5800 respondents is coupled to predictive models of contact tracing and control. This is used to investigate the likely efficacy of contact tracing and the distribution of secondary cases that may go untraced.

resultsTaking recent estimates for COVID-19 transmission we predict that under effective contact tracing less than 1 in 6 cases will generate any subsequent untraced infections, although this comes at a high logistical burden with an average of 36 individuals traced per case. Changes to the definition of a close contact can reduce this burden, but with increased risk of untraced cases; we find that tracing using a contact definition requiring more than 4 hours of contact is unlikely to control spread.

conclusionsThe current contact tracing strategy within the UK is likely to identify a sufficient proportion of infected individuals such that subsequent spread could be prevented, although the ultimate success will depend on the rapid detection of cases and isolation of contacts. Given the burden of tracing a large number of contacts to find new cases, there is the potential the system could be overwhelmed if imports of infection occur at a rapid rate.

Indexed as

Contact TracingCoronavirusInfection ControlBetacoronavirusChinaCoronavirus InfectionsCOVID-19Disease OutbreaksHumansModels, TheoreticalPandemicsPneumonia, ViralPublic HealthSARS-CoV-2communicable diseasesDisease modelingEpidemiologypublic health policy

Identifiers

PMID32576605
PMCPMC7307459

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.