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.
摘要：
在COVID-19大流行期间，诸如数字合同追踪应用程序之类的健康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不断生成和传播与各种事件有关的信息来防止SARS-CoV-2的传播，例如遭遇，接种疫苗或感染。虽然DCT的功能已经得到了很好的研究，使用DCT的透明度的必要性，以及分享用户健康等敏感信息的同意，疫苗接种和位置状态仍不清楚。一方面,DCT能够持续监控各种风险因素，包括基于数据的感染概率计算。另一方面,健康风险的数字监测与各种不确定性密切相关，例如个人数据的模棱两可的存储及其未来潜在的滥用，例如，科技公司或卫生当局。我们的贡献旨在从大流行后的角度回顾性分析COVID-19大流行，并将其用作实施新技术措施的案例研究。我们认为，在自愿使用DCT的情况下，透明度在说服个人在其移动设备上安装健康技术方面发挥着关键作用，保持它们的激活并同意敏感数据的共享。我们使用2020年至2021年之间进行的专家调查的定性数据来支持我们的论点，并根据扎根理论的原则进行分析。
