Department of Economics, University of Bergamo, Bergamo, Italy.
Sci Rep. 2023 Jan 17;13(1):935. doi: 10.1038/s41598-023-28137-7.
People mobility data sets played a role during the COVID-19 pandemic in assessing the impact of lockdown measures and correlating mobility with pandemic trends. Two global data sets were Apple's Mobility Trends Reports and Google's Community Mobility Reports. The former is no longer available online, while the latter is no longer updated since October 2022. Thus, new products are required. To establish a lower bound on data set penetration guaranteeing high adherence between new products and the Big Tech products, an independent mobility data set based on 3.8 million smartphone trajectories is analysed to compare its information content with that of the Google data set. This lower bound is determined to be around 10 (1 trajectory every 10,000 people) suggesting that relatively small data sets are suitable for replacing Big Tech reports.
在 COVID-19 大流行期间,人员流动数据集在评估封锁措施的影响以及将流动性与大流行趋势相关联方面发挥了作用。两个全球性数据集是苹果的移动趋势报告和谷歌的社区流动性报告。前者不再在线提供,而后者自 2022 年 10 月以来不再更新。因此,需要新产品。为了建立数据集渗透率的下限,以保证新产品和大型科技产品之间的高度一致性,基于 380 万部智能手机轨迹的独立流动数据集被分析,以比较其信息量与谷歌数据集的信息量。该下限被确定为 10(每 10000 人中有 1 条轨迹),这表明相对较小的数据集适合替代大型科技公司的报告。