Evidence map›Paper›PMID 33712583›Full record

ArticleNature communications2021

Digital proximity tracing on empirical contact networks for pandemic control.

G Cencetti, G Santin, A Longa, E Pigani, A Barrat, C Cattuto, S Lehmann, M Salathé, B Lepri

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 4 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

41 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Digital contact tracing technologies in epidemics: a rapid review.The Cochrane database of systematic reviews · 2020
    Pooled it
  5. Article
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  10. Article
  11. Article
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  13. Human mobility and the infectious disease transmission: A systematic review.Geo-spatial information science = Diqui kongjian xinxi kexue xuebao · 2024
    Article
  14. A New Paradigm for Pandemic Preparedness.Current epidemiology reports · 2023
    Article
  15. Review
  16. Article
  17. Article
  18. Proactive Contact Tracing.PLOS digital health · 2023
    Article
  19. Article
  20. 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

9 authors.

G Cencetti *Fondazione Bruno Kessler, Trento, Italy.
G Santin *Fondazione Bruno Kessler, Trento, Italy.ORCID 0000-0001-6959-1070
A LongaFondazione Bruno Kessler, Trento, Italy.ORCID 0000-0003-0337-1838
E PiganiFondazione Bruno Kessler, Trento, Italy.ORCID 0000-0002-0566-0759
A BarratAix Marseille Univ, Université de Toulon, CNRS, CPT, Turing Center for Living Systems, Marseille, France.ORCID 0000-0001-8683-269X
C CattutoUniversity of Turin, Turin, Italy.
S LehmannTechnical University of Denmark, Copenhagen, Denmark.ORCID 0000-0001-6099-2345
M SalathéÉcole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
B LepriFondazione Bruno Kessler, Trento, Italy. lepri@fbk.eu.ORCID 0000-0003-1275-2333

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital contact tracing is a relevant tool to control infectious disease outbreaks, including the COVID-19 epidemic. Early work evaluating digital contact tracing omitted important features and heterogeneities of real-world contact patterns influencing contagion dynamics. We fill this gap with a modeling framework informed by empirical high-resolution contact data to analyze the impact of digital contact tracing in the COVID-19 pandemic. We investigate how well contact tracing apps, coupled with the quarantine of identified contacts, can mitigate the spread in real environments. We find that restrictive policies are more effective in containing the epidemic but come at the cost of unnecessary large-scale quarantines. Policy evaluation through their efficiency and cost results in optimized solutions which only consider contacts longer than 15-20 minutes and closer than 2-3 meters to be at risk. Our results show that isolation and tracing can help control re-emerging outbreaks when some conditions are met: (i) a reduction of the reproductive number through masks and physical distance; (ii) a low-delay isolation of infected individuals; (iii) a high compliance. Finally, we observe the inefficacy of a less privacy-preserving tracing involving second order contacts. Our results may inform digital contact tracing efforts currently being implemented across several countries worldwide.

Indexed as

PandemicsSARS-CoV-2Basic Reproduction NumberComputer SimulationContact TracingCOVID-19HumansModels, StatisticalPrivacyQuarantineRisk Factors

Identifiers

PMID33712583
PMCPMC7955065

What OpenQuestion holds

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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.