Listening to bluetooth beacons for epidemic risk mitigation
By Gilles Barthe, Roberta De Viti, Peter Druschel, Deepak Garg, Manuel Gomez Rodriguez, Pierfrancesco Ingo, Heiner Kremer, Matthew Lentz, Lars Lorch, Aastha Mehta and 1 more. 2021
15 citations recorded by the source corpus.
The ongoing COVID-19 pandemic let to efforts to develop and deploy digital contact tracing systems to expedite contact tracing and risk notification. Unfortunately, the success of these systems has been limited, partly owing to poor interoperability with manual contact tracing, low adoption rates, and a societally sensitive trade-off between utility and privacy. In this work, we introduce a new privacy-preserving and inclusive system for epidemic risk assessment and notification that aims to address these limitations. Rather than capturing pairwise encounters between user devices as done by existing systems, our system captures encounters between user devices and beacons placed in strategic locations where infection clusters may originate. Epidemiological simulations using an agent-based model demonstrate that, by utilizing location and environmental information and interoperating with manual contact tracing, our system can increase the accuracy of contact tracing actions and may help reduce epidemic spread already at low adoption.
Subfields: Epidemiology, Information Systems, Sociology and Political Science
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Citations in the corpus
- Simpson's Paradox in COVID-19 Case Fatality Rates: A Mediation Analysis of Age-Related Causal Effects (2020, background): “, in contact tracing [43], [44], symptom screening [45], risk scoring [46], vaccine development [47], or diagnosis from CT [48] or Xray [49] imaging—see, e.”