The Role of Transparency in Digital Contact Tracing During COVID-19: Insights from an Expert Survey.

IF 1.8 3区 哲学 Q2 ETHICS
Dennis Krämer, Elisabeth Brachem, Lydia Schneider-Reuter, Isabella D'Angelo, Jochen Vollmann, Joschka Haltaufderheide
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引用次数: 0

Abstract

Health technologies such as apps for digital contract tracing [DCT] played a crucial role in containing and combating infections during the COVID-19 pandemic. Their primary function was to prevent the spread of SARS-CoV-2 by consistently generating and disseminating information related to various events such as encounters, vaccinations or infections. While the functionality of DCT has been well researched, the necessity of transparency in the use of DCT and the consent to share sensitive information such as users' health, vaccination and location status remains unclear. On one hand, DCT enabled the continuous monitoring of various risk factors, including data-based calculations of infection probabilities. On the other hand, digital monitoring of health risks was closely associated with various uncertainties, such as the ambiguous storage of personal data and its potential future misuse, e.g., by tech companies or health authorities. Our contribution aims to retrospectively analyze the COVID-19 pandemic from a post-pandemic perspective and utilize it as a case study for the implementation of new technological measures. We argue that under the condition of voluntary use of DCT, transparency plays a key role in convincing individuals to install health technologies on their mobile devices, keep them activated and consent to the sharing of sensitive data. We support our argument with qualitative data from an expert survey conducted between 2020 and 2021 and analyzed according to the principles of Grounded Theory.

Abstract Image

COVID-19 期间透明度在数字联系人追踪中的作用:专家调查的启示。
在 COVID-19 大流行期间,数字合同追踪 [DCT] 应用程序等卫生技术在遏制和抗击感染方面发挥了至关重要的作用。它们的主要功能是通过持续生成和传播与各种事件(如相遇、接种疫苗或感染)相关的信息来防止 SARS-CoV-2 的传播。虽然对 DCT 的功能进行了深入研究,但 DCT 使用的透明度以及同意共享用户健康、疫苗接种和位置状态等敏感信息的必要性仍不明确。一方面,DCT 能够持续监测各种风险因素,包括基于数据的感染概率计算。另一方面,对健康风险的数字监测与各种不确定因素密切相关,如个人数据的模糊存储及其未来可能被滥用,如被科技公司或卫生当局滥用。我们的贡献旨在从大流行后的角度回顾分析 COVID-19 大流行,并将其作为实施新技术措施的案例研究。我们认为,在自愿使用 DCT 的条件下,透明度在说服个人在其移动设备上安装健康技术、保持其激活状态并同意共享敏感数据方面发挥着关键作用。我们在 2020 年至 2021 年期间开展了一项专家调查,并根据基础理论的原则进行了分析。
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来源期刊
CiteScore
4.20
自引率
0.00%
发文量
3
期刊介绍: Health Care Analysis is a journal that promotes dialogue and debate about conceptual and normative issues related to health and health care, including health systems, healthcare provision, health law, public policy and health, professional health practice, health services organization and decision-making, and health-related education at all levels of clinical medicine, public health and global health. Health Care Analysis seeks to support the conversation between philosophy and policy, in particular illustrating the importance of conceptual and normative analysis to health policy, practice and research. As such, papers accepted for publication are likely to analyse philosophical questions related to health, health care or health policy that focus on one or more of the following: aims or ends, theories, frameworks, concepts, principles, values or ideology. All styles of theoretical analysis are welcome providing that they illuminate conceptual or normative issues and encourage debate between those interested in health, philosophy and policy. Papers must be rigorous, but should strive for accessibility – with care being taken to ensure that their arguments and implications are plain to a broad academic and international audience. In addition to purely theoretical papers, papers grounded in empirical research or case-studies are very welcome so long as they explore the conceptual or normative implications of such work. Authors are encouraged, where possible, to have regard to the social contexts of the issues they are discussing, and all authors should ensure that they indicate the ‘real world’ implications of their work. Health Care Analysis publishes contributions from philosophers, lawyers, social scientists, healthcare educators, healthcare professionals and administrators, and other health-related academics and policy analysts.
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