PanCast: Listening to Bluetooth Beacons for Epidemic Risk Mitigation

11/16/2020
by   Gilles Barthe, et al.
0

During the ongoing COVID-19 pandemic, there have been burgeoning efforts to develop and deploy smartphone apps to expedite contact tracing and risk notification. Most of these apps track pairwise encounters between individuals via Bluetooth and then use these tracked encounters to identify and notify those who might have been in proximity of a contagious individual. Unfortunately, these apps have not yet proven sufficiently effective, partly owing to low adoption rates, but also due to the difficult tradeoff between utility and privacy and the fact that, in COVID-19, most individuals do not infect anyone but a few superspreaders infect many in superspreading events. In this paper, we proposePanCast, a privacy-preserving and inclusive system for epidemic risk assessment and notification that scales gracefully with adoption rates, utilizes location and environmental information to increase utility without tracking its users, and can be used to identify superspreading events. To this end, rather than capturing pairwise encounters between smartphones, our system utilizes Bluetooth encounters between beacons placed in strategic locations where superspreading events are most likely to occur and inexpensive, zero-maintenance, small devices that users can attach to their keyring. PanCast allows healthy individuals to use the system in a purely passive "radio" mode, and can assist and benefit from other digital and manual contact tracing systems. Finally, PanCast can be gracefully dismantled at the end of the pandemic, minimizing abuse from any malevolent government or entity.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

09/20/2020

Epidemic mitigation by statistical inference from contact tracing data

Contact-tracing is an essential tool in order to mitigate the impact of ...
01/18/2021

Digital Contact Tracing: Large-scale Geolocation Data as an Alternative to Bluetooth-based Apps' Failure

The currently deployed contact-tracing mobile apps have failed as an eff...
10/27/2020

Apps Against the Spread: Privacy Implications and User Acceptance of COVID-19-Related Smartphone Apps on Three Continents

The COVID-19 pandemic has fueled the development of smartphone applicati...
12/23/2020

Towards a common performance and effectiveness terminology for digital proximity tracing applications

Digital proximity tracing (DPT) for Sars-CoV-2 pandemic mitigation is a ...
12/31/2021

Privacy-Protecting COVID-19 Exposure Notification Based on Cluster Events

We provide a rough sketch of a simple system design for exposure notific...
07/20/2020

Privacy-Preserving Multi-Operator Contact Tracing for Early Detection of Covid19 Contagions

The outbreak of coronavirus disease 2019 (covid-19) is imposing a severe...
04/16/2020

Digital Ariadne: Citizen Empowerment for Epidemic Control

The COVID-19 crisis represents the most dangerous threat to public healt...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.