Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis
Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis
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DOI：
10.1016/s2589-7500(20)30193-x
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发表时间：
2020-11-01
影响因子：
30.8
通讯作者：
Buckee, Caroline O.
中科院分区：
文献类型：
--
作者：
Kishore, Nishant;Kiang, Mathew, V;Buckee, Caroline O.
人们注意到，人们对使用移动的手机的移动数据来监测物理距离和模拟导致COVID-19的严重急性呼吸系统综合征冠状病毒2的传播的兴趣激增。尽管在这一领域进行了多年的研究，但用于聚合和利用来自移动的电话的不同数据流的标准框架仍然很少，并且难以在数据提供商之间推广。在这里，我们研究聚合的原则和程序，为不同的移动的电话数据流，并描述了一个共同的语法聚合的数据如何用于研究和政策。我们认为，隐私和数据保护的原则是至关重要的，在评估更多的技术方面的聚合，应该是一个重要的核心特征，以指导与政府的伙伴关系，使研究产品的使用。
A surge of interest has been noted in the use of mobility data from mobile phones to monitor physical distancing and model the spread of severe acute respiratory syndrome coronavirus 2, the virus that causes COVID-19. Despite several years of research in this area, standard frameworks for aggregating and making use of different data streams from mobile phones are scarce and difficult to generalise across data providers. Here, we examine aggregation principles and procedures for different mobile phone data streams and describe a common syntax for how aggregated data are used in research and policy. We argue that the principles of privacy and data protection are vital in assessing more technical aspects of aggregation and should be an important central feature to guide partnerships with governments who make use of research products.