Nature Communications (Mar 2021)

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

DOI
https://doi.org/10.1038/s41467-021-21809-w
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 12

Abstract

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Digital contact tracing is increasingly considered as one of the tools to control infectious disease outbreaks, in particular the COVID-19 epidemic. Here, the authors present a modeling framework informed by empirical high-resolution contact data to analyze the impact of digital contact tracing apps.