School of Internet Economics and Business, Fujian University of Technology, Fuzhou, China.
JMIR Mhealth Uhealth. 2020 Dec 1;8(12):e22098. doi: 10.2196/22098.
We evaluate a Bluetooth-based mobile contact-confirming app, COVID-19 Contact-Confirming Application (COCOA), which is being used in Japan to contain the spread of COVID-19, the disease caused by the novel virus termed SARS-COV-2. The app prioritizes the protection of users' privacy from a variety of parties (eg, other users, potential attackers, and public authorities), enhances the capacity to balance the current load of excessive pressure on health care systems (eg, local triage of exposure risk and reduction of in-person hospital visits), increases the speed of responses to the pandemic (eg, automated recording of close contact based on proximity), and reduces operation errors and population mobility. The peer-to-peer framework of COCOA is intended to provide the public with dynamic and credible updates on the COVID-19 pandemic without sacrificing the privacy of their information. However, cautions must be exercised to address critical concerns, such as the rate of participation and delays in data sharing. The results of a simulation imply that the participation rate in Japan needs to be close 90% to effectively control the spread of COVID-19.
我们评估了一款基于蓝牙的移动接触确认应用程序 COVID-19 接触确认应用程序（COCOA），该应用程序正在日本被用于控制新型冠状病毒 SARS-COV-2 引发的 COVID-19 疫情传播。该应用程序优先保护用户免受各种方（如其他用户、潜在攻击者和公共当局）的隐私侵犯，增强了平衡医疗系统当前过度压力的能力（如暴露风险的本地分诊和减少门诊就诊），提高了对大流行的响应速度（如基于接近度自动记录密切接触），并减少了操作错误和人口流动。COCOA 的点对点框架旨在为公众提供有关 COVID-19 大流行的动态和可信更新，同时不牺牲其信息隐私。然而，必须谨慎对待一些关键问题，如参与率和数据共享延迟。模拟结果表明，日本需要接近 90%的参与率才能有效控制 COVID-19 的传播。
