Welcome to the IKCEST

medRxiv | Vol., Issue. | 2021-01-25 | Pages

medRxiv

Listening to Bluetooth Beacons for Epidemic Risk Mitigation

Garg, Deepak   Mehta, Aastha   Barthe, Gilles   Druschel, Peter   Ingo, Pierfrancesco   Sch枚lkopf, Bernhard   De Viti, Roberta   Kremer, Heiner   Gomez-Rodriguez, Manuel   Lentz, Matthew   Lorch, Lars  
Abstract

Abstract During the ongoing COVID-19 pandemic, there have been burgeoning efforts to develop and deploy smartphone apps to expedite contact tracing and risk notification. Unfortunately, the success of these apps 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 the above limitations. Rather than capturing pairwise encounters between smartphones as done by existing apps, our system captures encounters between inexpensive, zero-maintenance, small devices carried by users, and beacons placed in strategic locations where infection clusters are most likely to originate. Epidemiological simulations using an agent-based model demonstrate several beneficial properties of our system. By achieving bidirectional interoperability with manual contact tracing, our system can help control disease spread already at low adoption. By utilizing the location and environmental information provided by the beacons, our system can provide significantly higher sensitivity and specificity than existing app-based systems. In addition, our simulations also suggest that it is sufficient to deploy beacons in a small fraction of strategic locations for our system to achieve high utility.

Original Text (This is the original text for your reference.)

Listening to Bluetooth Beacons for Epidemic Risk Mitigation

Abstract During the ongoing COVID-19 pandemic, there have been burgeoning efforts to develop and deploy smartphone apps to expedite contact tracing and risk notification. Unfortunately, the success of these apps 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 the above limitations. Rather than capturing pairwise encounters between smartphones as done by existing apps, our system captures encounters between inexpensive, zero-maintenance, small devices carried by users, and beacons placed in strategic locations where infection clusters are most likely to originate. Epidemiological simulations using an agent-based model demonstrate several beneficial properties of our system. By achieving bidirectional interoperability with manual contact tracing, our system can help control disease spread already at low adoption. By utilizing the location and environmental information provided by the beacons, our system can provide significantly higher sensitivity and specificity than existing app-based systems. In addition, our simulations also suggest that it is sufficient to deploy beacons in a small fraction of strategic locations for our system to achieve high utility.

+More

Cite this article
APA

APA

MLA

Chicago

Garg, Deepak, Mehta, Aastha,Barthe, Gilles, Druschel, Peter, Ingo, Pierfrancesco, Sch枚lkopf, Bernhard, De Viti, Roberta, Kremer, Heiner, Gomez-Rodriguez, Manuel, Lentz, Matthew, Lorch, Lars,.Listening to Bluetooth Beacons for Epidemic Risk Mitigation. (),.

Disclaimer: The translated content is provided by third-party translation service providers, and IKCEST shall not assume any responsibility for the accuracy and legality of the content.
Translate engine
Article's language
English
中文
Pусск
Français
Español
العربية
Português
Kikongo
Dutch
kiswahili
هَوُسَ
IsiZulu
Action
Recommended articles

Report

Select your report category*



Reason*



By pressing send, your feedback will be used to improve IKCEST. Your privacy will be protected.

Submit
Cancel