By using modern cryptographic techniques, privacy-preserving Automated Exposure Notification (AEN) technologies offer the promise of mitigating disease spread by automatically recording contacts between people over the incubation period while maintaining individual data privacy. Today, public health departments in States and other countries around the world are deploying AEN systems at a rapid pace. Though many organizations conducted research prior to deploying apps, experience around the world shows that contact-tracing apps are installed and used at relatively low levels. This whitepaper is intended to provide usable information for States who are considering the deployment of an AEN system, as well as to guide ongoing improvements for States that have already deployed. We outline the human factors considerations related to employing AEN systems with the ultimate goal of controlling the spread of COVID-19, including the GAEN consortium Exposure Notifications (EN) Express tool. We will also provide a practical design and implementation guide for States and others designing and deploying AEN systems, as well as a set of recommendations for assessing deployment of contact tracing apps and targeting areas of concern to improve efficacy of use during and after initial deployment. As a case study, we consider the commercial app deployed by the state of Pennsylvania (PA) and the ongoing efforts to drive user adoption there.
翻译:通过使用现代加密技术,保护隐私自动接触通知(AEN)技术提供了减轻疾病传播的希望,通过自动记录人们在孵化期间的接触,同时维护个人数据隐私,可以自动记录疾病传播;今天,各国和其他国家的公共卫生部门正在迅速部署AEN系统;虽然许多组织在安装应用程序之前进行了研究,但世界各地的经验表明,在相对较低的级别安装和使用了接触跟踪应用程序;白皮书旨在为正在考虑部署AEN系统的国家提供可用信息,并指导已经部署的国家不断改进;我们概述了与使用AEN系统有关的人的因素,其最终目标是控制COVID-19的传播,包括GAEN联合接触通知(EN)快工具;我们还将为设计和部署AEN系统的国家和其他单位提供实用的设计和实施指南,以及一套建议,用于评估部署接触跟踪应用程序的部署情况,针对已经部署该系统的国家,以及针对已经部署该系统的国家进行改进的改进;作为案例研究,我们考虑使用AEN系统的人类因素,以便最终控制COVID-19的传播,包括GAEN联合接触通知(EN) 快速工具;我们还将为设计和部署A系统的国家和其他设计和部署者提供一套实用的设计和执行指南,以及一套建议,用以评估在最初部署期间和部署后改进使用效率。我们考虑正在部署的州部署的应用程序。