论文标题
使用蓝牙低能（BLE）信号强度估计来促进COVID-19
Using Bluetooth Low Energy (BLE) Signal Strength Estimation to Facilitate Contact Tracing for COVID-19
论文作者
论文摘要
传统上，接触追踪以减少高度感染和威胁生命的疾病的传播的过程主要是由公共卫生实体管理的手动过程。当面对SARS-COV2比例的大流行时，这个过程就会受到挑战。已经提出了数字接触跟踪，以增强手动接触跟踪的方式，并借给广泛扩散的设备，例如手机和可穿戴设备。本文介绍了一种方法和分析，该方法是通过蓝牙低能信号在15分钟内持续15分钟内的两部手机的持续接触。本文描述了检测这些信号的方法，以及数据驱动的性能分析，表明大量的样本以及保留辅助信息的隐私性可改善检测性能。
The process of contact tracing to reduce the spread of highly infectious and life-threatening diseases has traditionally been a primarily manual process managed by public health entities. This process becomes challenged when faced with a pandemic of the proportions of SARS-CoV2. Digital contact tracing has been proposed as way to augment manual contact tracing and lends itself to widely proliferated devices such as cell phones and wearables. This paper describes a method and analysis of determining whether two cell phones, carried by humans, were in persistent contact of no more than 6 feet over 15 minutes using Bluetooth Low Energy signals. The paper describes the approach to detecting these signals, as well as a data-driven performance analysis showing that larger numbers of samples coupled with privacy preserving auxiliary information improves detection performance.
