MobMeter: a global human mobility data set based on smartphone trajectories

This data set is supplement to this Scientific Reports article. The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories. Metrics: Estimated daily average travelled distance by people. Estimated percentage of people who did not move during the 24 hours of the day. Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN). Covered period: from March 11, 2020 to present. Temporal resolution: daily. Temporal smoothing: No smoothing. 7-day moving average. 14-day moving average. 21-day moving average. 28-day moving average. Uncertainty: 95% bootstrap confidence interval. Data ownership Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo). Contribution Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager. Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers. Repository update CSV files of this repository are regularly produced by Futura Innovation SRL and published by the repository's author after validation.本数据集为《科学报告（Scientific Reports）》一文的补充数据集。该数据集提供了2020年3月11日至今共17个国家的国家级每日移动性指标估算值（包含不确定性区间），估算基于逾380万条智能手机轨迹数据。本次涵盖的移动性指标包括：民众每日平均出行距离估算值，以及当日24小时内未发生移动的人群占比估算值。涉及国家及对应代码如下：阿根廷（ARG）、智利（CHL）、哥伦比亚（COL）、哥斯达黎加（CRI）、厄瓜多尔（ECU）、希腊（GRC）、危地马拉（GTM）、意大利（ITA）、墨西哥（MEX）、尼加拉瓜（NIC）、巴拿马（PAN）、秘鲁（PER）、菲律宾（PHL）、斯洛文尼亚（SVN）、土耳其（TUR）、美国（USA）以及委内瑞拉（VEN）。数据覆盖时段为2020年3月11日至今，时间分辨率为每日。时间平滑方式包含：无平滑、7日移动平均、14日移动平均、21日移动平均以及28日移动平均。不确定性采用95%自举置信区间（bootstrap）。数据所有权方面，智能手机轨迹匿名数据由Futura Innovation SRL收集、持有并管理，相关数据的存储与分析均在Futura Innovation SRL自有服务器上完成，未向包括本仓库作者及其所属机构贝加莫大学（University of Bergamo）在内的任何第三方共享。贡献说明：Futura Innovation SRL的伊拉莉亚·克雷莫内西（Ilaria Cremonesi）负责数据归属与管理工作；贝加莫大学（University of Bergamo）的弗朗切斯科·菲纳齐（Francesco Finazzi）开发了数据分析所用的统计方法及部署于Futura Innovation SRL服务器的算法。本仓库的CSV格式数据文件由Futura Innovation SRL定期生成，并经仓库作者验证后发布。