TY - JOUR AU - Wirth, Felix Nikolaus AU - Johns, Marco AU - Meurers, Thierry AU - Prasser, Fabian PY - 2020 DA - 2020/11/10 TI -以公民为中心的移动健康应用程序收集个人层面的传染病管理空间数据:范围审查乔- JMIR Mhealth Uhealth SP - e22594六世- 8 - 11 KW -流行KW -流行KW -传染病管理KW -移动应用KW -自动数字接触者追踪千瓦流动跟踪KW -疫情检测KW -定位风险评估KW -公共卫生KW -信息学KW - app KW -传染病KW - COVID-19 KW -审查AB -背景:新型冠状病毒SARS-CoV-2迅速传播到世界各地,COVID-19导致疾病。为了遏制病毒，人们对使用移动应用程序(如自动数字接触者追踪)进行参与性监测寄予很大希望，但广泛采用是相关干预措施有效的重要先决条件。数据保护方面是采用的关键因素，所开发的解决方案的隐私风险通常需要与其功能相平衡。这反映在公众和科学界对隐私保护方法的激烈讨论上。目标:我们的目标是为当前的讨论提供信息，并支持制定解决方案，在隐私保护和大流行控制之间实现最佳平衡。为此，我们对以公民为中心的监测解决方案的现有文献进行了系统分析，收集了个人层面的空间数据。我们的主要假设是，以下维度之间存在依赖关系:支持的用例、用于收集空间数据的技术、关注的特定疾病以及实施的数据保护措施。方法:我们搜索PubMed和IEEE explore，并将传染病管理领域的术语与描述空间监测技术的术语结合起来搜索字符串，以确定2010年至2020年间发表的研究。经过两步的资格评估过程，选出27篇文章进行最终分析。 We collected data on the four dimensions described as well as metadata, which we then analyzed by calculating univariate and bivariate frequency distributions. Results: We identified four different use cases, which focused on individual surveillance and public health (most common: digital contact tracing). We found that the solutions described were highly specialized, with 89% (24/27) of the articles covering one use case only. Moreover, we identified eight different technologies used for collecting spatial data (most common: GPS receivers) and five different diseases covered (most common: COVID-19). Finally, we also identified six different data protection measures (most common: pseudonymization). As hypothesized, we identified relationships between the dimensions. We found that for highly infectious diseases such as COVID-19 the most common use case was contact tracing, typically based on Bluetooth technology. For managing vector-borne diseases, use cases require absolute positions, which are typically measured using GPS. Absolute spatial locations are also important for further use cases relevant to the management of other infectious diseases. Conclusions: We see a large potential for future solutions supporting multiple use cases by combining different technologies (eg, Bluetooth and GPS). For this to be successful, however, adequate privacy-protection measures must be implemented. Technologies currently used in this context can probably not offer enough protection. We, therefore, recommend that future solutions should consider the use of modern privacy-enhancing techniques (eg, from the area of secure multiparty computing and differential privacy). SN - 2291-5222 UR - http://mhealth.www.mybigtv.com/2020/11/e22594/ UR - https://doi.org/10.2196/22594 UR - http://www.ncbi.nlm.nih.gov/pubmed/33074833 DO - 10.2196/22594 ID - info:doi/10.2196/22594 ER -