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A survey of automatic contact tracing approaches using bluetooth low energy
ACM Transactions on Computing for Healthcare ; 2(2) (no pagination), 2021.
Article in English | EMBASE | ID: covidwho-20241862
ABSTRACT
To combat the ongoing Covid-19 pandemic, many new ways have been proposed on how to automate the process of finding infected people, also called contact tracing. A special focus was put on preserving the privacy of users. Bluetooth Low Energy as base technology has the most promising properties, so this survey focuses on automated contact tracing techniques using Bluetooth Low Energy. We define multiple classes of methods and identify two major groups systems that rely on a server for finding new infections and systems that distribute this process. Existing approaches are systematically classified regarding security and privacy criteria.Copyright © 2021 ACM.
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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Experimental Studies / Observational study / Randomized controlled trials Language: English Journal: ACM Transactions on Computing for Healthcare Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Experimental Studies / Observational study / Randomized controlled trials Language: English Journal: ACM Transactions on Computing for Healthcare Year: 2021 Document Type: Article