论文标题
蓝牙智能手机应用程序：它们是Covid-19接触跟踪的最私人和有效解决方案吗？
Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing?
论文作者
论文摘要
许多数字解决方案主要涉及蓝牙技术，用于接触跟踪应用程序（CTA），以减少COVID-19的传播。人们对特定人群中需要的隐私，同意，吸收以及CTA使用的程度引起了人们的关注。但是，很少有小组采用整体方法并提出了一个组合解决方案。没有人以这种方式介绍其CTA，以确保即使是我们社区中最有暗示的成员也不会变得自满，并假设CTA作为无形的盾牌运行，使我们和我们的家人无法穿透或不受疾病的影响。我们建议建立在已经开发的一些数字解决方案的基础上，这些解决方案增加了贝叶斯模型，该模型预测了补充传统症状和接触跟踪的感染的可能性，这可以使我们能够达到90％的人口。当结合有效的沟通策略和社会疏远时，我们相信像这里提出的那样的解决方案对包含这种大流行的传播具有非常有益的效果。
Many digital solutions mainly involving Bluetooth technology are being proposed for Contact Tracing Apps (CTA) to reduce the spread of COVID-19. Concerns have been raised regarding privacy, consent, uptake required in a given population, and the degree to which use of CTAs can impact individual behaviours. However, very few groups have taken a holistic approach and presented a combined solution. None has presented their CTA in such a way as to ensure that even the most suggestible member of our community does not become complacent and assume that CTA operates as an invisible shield, making us and our families impenetrable or immune to the disease. We propose to build on some of the digital solutions already under development that, with addition of a Bayesian model that predicts likelihood for infection supplemented by traditional symptom and contact tracing, that can enable us to reach 90% of a population. When combined with an effective communication strategy and social distancing, we believe solutions like the one proposed here can have a very beneficial effect on containing the spread of this pandemic.
