Features of COVID-19 applications and their impact on contact tracing: results of preliminary review

Riikka Vuokko, K. Saranto, Sari Palojoki
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引用次数: 1

Abstract

Digital technologies and telehealth, specifically contact tracing applications can complement traditional approaches for contact tracing of COVID-19 and overall COVID-19 control strategies. Despite the potential benefits of these novel approaches, concerns regarding privacy and basic rights have challenged application development and adoption. We explore the features of tracing applications, focusing on the trade-off between technical possibilities and privacy concerns. Our main objective is to map out central features of applied technology solutions that may prove as drivers or constrains for future development. Our secondary aim was to review how the effectiveness of tracing applications was being apprehended in research. We conducted a literature review of COVID-19 tracing applications and related privacy issues using the PubMed database. For analysis, we conceptualized contact tracing and data privacy. Our review identified various technologies with potential for contact tracing, with Bluetooth and GPS based solutions being the most common. Effectiveness of the applications is dependent on how widely these are adopted. However, technological approaches of the applications vary markedly, affecting their effectiveness for pandemic control. Privacy and trust are key limitations affecting application adoption. Existing privacy solutions are based on voluntary use, user consent, cryptographic data storage, minimum data collection, limited data usage, and transparency of the contact tracing applications and frameworks. Although evidence of applications’ outcomes and benefits is yet tentative, the first evaluation frameworks for the applications are under development. In order to obtain maximum potential benefit from the applications, real-world evidence needs to be analyzed and evaluated carefully. However, along with contact tracing apps and comprehensive health programs, regulatory frameworks and safeguards are necessary to ensure that health information is not used for surveillance purposes and that app users’ privacy is maintained.
COVID-19应用程序的特点及其对接触者追踪的影响:初步审查结果
数字技术和远程医疗,特别是接触者追踪应用,可以补充传统的COVID-19接触者追踪方法和COVID-19总体控制战略。尽管这些新方法有潜在的好处,但对隐私和基本权利的担忧对应用程序的开发和采用构成了挑战。我们将探讨跟踪应用程序的特性,重点关注技术可能性和隐私问题之间的权衡。我们的主要目标是绘制出应用技术解决方案的核心特征,这些特征可能被证明是未来发展的驱动因素或制约因素。我们的第二个目的是回顾在研究中如何理解跟踪应用程序的有效性。我们使用PubMed数据库对COVID-19追踪应用程序和相关隐私问题进行了文献综述。为了进行分析,我们将接触追踪和数据隐私概念化。我们的研究发现了多种潜在的接触追踪技术,其中基于蓝牙和GPS的解决方案是最常见的。应用程序的有效性取决于它们被广泛采用的程度。然而,这些应用的技术方法差别很大,影响了它们控制大流行病的有效性。隐私和信任是影响应用程序采用的关键限制。现有的隐私解决方案基于自愿使用、用户同意、加密数据存储、最小数据收集、有限数据使用以及接触者追踪应用程序和框架的透明度。虽然应用程序的结果和效益的证据尚不明确,但应用程序的第一个评估框架正在开发中。为了从应用中获得最大的潜在效益,需要仔细分析和评估真实世界的证据。然而,随着接触者追踪应用程序和全面的健康计划,监管框架和保障措施是必要的,以确保健康信息不被用于监视目的,并维护应用程序用户的隐私。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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