Saheb Tahereh, Sabour Elham, Qanbary Fatimah, Saheb Tayebeh
Tarbiat Modares University, Management Studies Center, Tarbiat Modares University, Jalal Al Ahmad, Tehran, Iran.
Tarbiat Modares University, Information Technology Management- Business Intelligence, Iran.
Technol Soc. 2022 May;69:101968. doi: 10.1016/j.techsoc.2022.101968. Epub 2022 Mar 19.
As the COVID-19 pandemic expanded over the globe, governments implemented a series of technological measures to prevent the disease's spread. The development of the COVID Tracing Application (CTA) was one of these measures. In this study, we employed bibliometric and topic-based content analysis to determine the most significant entities and research topics. Additionally, we identified significant privacy concerns posed by CTAs, which gather, store, and analyze data in partnership with large technology corporations using proximity measurement technologies, artificial intelligence, and blockchain. We examined a series of key privacy threats identified in our study. These privacy risks include anti-democratic and discriminatory behaviors, politicization of care, derogation of human rights, techno governance, citizen distrust and refusal to adopt, citizen surveillance, and mandatory legislation of the apps' installation. Finally, sixteen research gaps were identified. Then, based on the identified theoretical gaps, we recommended fourteen prospective study strands. Theoretically, this study contributes to the growing body of knowledge about the privacy of mobile health applications that are embedded with cutting-edge technologies and are employed during global pandemics.
随着新冠疫情在全球蔓延，各国政府采取了一系列技术措施来防止疾病传播。开发新冠病毒追踪应用程序（CTA）就是其中一项措施。在本研究中，我们采用文献计量法和基于主题的内容分析法来确定最重要的实体和研究主题。此外，我们还确定了CTA带来的重大隐私问题，CTA与大型科技公司合作，利用近距离测量技术、人工智能和区块链收集、存储和分析数据。我们研究了一系列在研究中发现的关键隐私威胁。这些隐私风险包括反民主和歧视性行为、医疗政治化、人权减损、技术治理、公民不信任和拒绝采用、公民监视以及强制立法要求安装这些应用程序。最后，确定了16个研究空白。然后，基于已确定的理论空白，我们推荐了14个前瞻性研究方向。从理论上讲，本研究有助于丰富关于嵌入前沿技术并在全球大流行期间使用的移动健康应用程序隐私问题的知识体系。
