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本文引用的文献

1
Digital contact tracing and exposure notification: ethical guidance for trustworthy pandemic management.数字接触者追踪与暴露通知:可信大流行管理的伦理指南。
Ethics Inf Technol. 2021;23(3):285-294. doi: 10.1007/s10676-020-09566-8. Epub 2020 Oct 21.
2
COVID-19 and Contact Tracing Apps: Ethical Challenges for a Social Experiment on a Global Scale.COVID-19 和接触者追踪应用程序:全球范围内社会实验的伦理挑战。
J Bioeth Inq. 2020 Dec;17(4):835-839. doi: 10.1007/s11673-020-10016-9. Epub 2020 Aug 25.
3
Automated and partly automated contact tracing: a systematic review to inform the control of COVID-19.自动化和部分自动化接触者追踪:一项系统评价以提供 COVID-19 控制信息。
Lancet Digit Health. 2020 Nov;2(11):e607-e621. doi: 10.1016/S2589-7500(20)30184-9. Epub 2020 Aug 19.
4
Blind-sided by privacy? Digital contact tracing, the Apple/Google API and big tech's newfound role as global health policy makers.被隐私问题打个措手不及?数字接触者追踪、苹果/谷歌应用程序编程接口以及科技巨头作为全球卫生政策制定者的新角色。
Ethics Inf Technol. 2021;23(Suppl 1):45-57. doi: 10.1007/s10676-020-09547-x. Epub 2020 Jul 18.
5
How to overcome lockdown: selective isolation versus contact tracing.如何克服封锁:选择性隔离与接触者追踪。
J Med Ethics. 2020 Nov;46(11):724-725. doi: 10.1136/medethics-2020-106680. Epub 2020 Aug 19.
6
Authors' response: Estimating the generation interval for COVID-19 based on symptom onset data.作者回应:基于症状出现数据估算新冠病毒病的代间距。
Euro Surveill. 2020 Jul;25(29). doi: 10.2807/1560-7917.ES.2020.25.29.2001269.
7
Impact of delays on effectiveness of contact tracing strategies for COVID-19: a modelling study.新冠病毒接触者追踪策略有效性延迟的影响:建模研究。
Lancet Public Health. 2020 Aug;5(8):e452-e459. doi: 10.1016/S2468-2667(20)30157-2. Epub 2020 Jul 16.
8
How to fairly incentivise digital contact tracing.如何公平地激励数字接触者追踪。
J Med Ethics. 2020 Jul 9. doi: 10.1136/medethics-2020-106388.
9
Why lockdown of the elderly is not ageist and why levelling down equality is wrong.为何对老年人实施封锁并不存在年龄歧视,以及为何平等不应被拉平是错误的。
J Med Ethics. 2020 Nov;46(11):717-721. doi: 10.1136/medethics-2020-106336. Epub 2020 Jun 19.
10
Temporal dynamics in viral shedding and transmissibility of COVID-19.新冠病毒脱落和传播的时间动态。
Nat Med. 2020 May;26(5):672-675. doi: 10.1038/s41591-020-0869-5. Epub 2020 Apr 15.

隐私与公共卫生?对集中式和分布式数字接触者追踪的重新评估。

Privacy versus Public Health? A Reassessment of Centralised and Decentralised Digital Contact Tracing.

机构信息

Leibniz Universität Hannover (Institut für Philosophie), Hannover, Germany.

出版信息

Sci Eng Ethics. 2021 Mar 29;27(2):23. doi: 10.1007/s11948-021-00301-0.

DOI:10.1007/s11948-021-00301-0
PMID:33779818
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8006508/
Abstract

At the beginning of the COVID-19 pandemic, high hopes were placed on digital contact tracing. Digital contact tracing apps can now be downloaded in many countries, but as further waves of COVID-19 tear through much of the northern hemisphere, these apps are playing a less important role in interrupting chains of infection than anticipated. We argue that one of the reasons for this is that most countries have opted for decentralised apps, which cannot provide a means of rapidly informing users of likely infections while avoiding too many false positive reports. Centralised apps, in contrast, have the potential to do this. But policy making was influenced by public debates about the right app configuration, which have tended to focus heavily on privacy, and are driven by the assumption that decentralised apps are "privacy preserving by design". We show that both types of apps are in fact vulnerable to privacy breaches, and, drawing on principles from safety engineering and risk analysis, compare the risks of centralised and decentralised systems along two dimensions, namely the probability of possible breaches and their severity. We conclude that a centralised app may in fact minimise overall ethical risk, and contend that we must reassess our approach to digital contact tracing, and should, more generally, be cautious about a myopic focus on privacy when conducting ethical assessments of data technologies.

摘要

在 COVID-19 大流行开始时,人们对数字接触者追踪寄予厚望。现在,许多国家都可以下载数字接触者追踪应用程序,但随着 COVID-19 的进一步浪潮席卷北半球大部分地区,这些应用程序在中断感染链方面的作用并不像预期的那么重要。我们认为,其中一个原因是大多数国家选择了去中心化应用程序,这些应用程序无法提供一种快速告知用户可能感染的方法,同时避免过多的假阳性报告。相比之下,集中式应用程序有潜力做到这一点。但是,政策制定受到了关于应用程序配置正确与否的公众辩论的影响,这些辩论往往过于关注隐私问题,并受到去中心化应用程序“设计上保护隐私”的假设的驱动。我们表明,这两种类型的应用程序实际上都容易受到隐私泄露的影响,并借鉴安全工程和风险分析原则,从两个方面比较集中式和分散式系统的风险,即可能的违规行为的概率及其严重程度。我们得出的结论是,集中式应用程序实际上可能会最小化整体道德风险,我们必须重新评估我们对数字接触者追踪的方法,并且应该更加谨慎地关注在对数据技术进行伦理评估时对隐私的短视关注。