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 and
B. Lepri ()
Additional contact information
G. Cencetti: Fondazione Bruno Kessler
G. Santin: Fondazione Bruno Kessler
A. Longa: Fondazione Bruno Kessler
E. Pigani: Fondazione Bruno Kessler
A. Barrat: Université de Toulon, CNRS, CPT, Turing Center for Living Systems
C. Cattuto: University of Turin
S. Lehmann: Technical University of Denmark
M. Salathé: École Polytechnique Fédérale de Lausanne (EPFL)
B. Lepri: Fondazione Bruno Kessler
Nature Communications, 2021, vol. 12, issue 1, 1-12
Abstract:
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.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://www.nature.com/articles/s41467-021-21809-w Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21809-w
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-021-21809-w
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().