Outbreak Detection

This repository includes data from the following publication: X.

The three mobility datasets dEPR, sOD and dOD contain simulated mobility trajectories of 10,000 individuals over a span of 28 days. Included is the id of the individuals, the time of a jump to a new location (in hours, starting at Monday 0am), and the longitude-latitude coordinates of the target locations. The trajectories are created using the density-EPR model, and two variations of an agent-based simulation of mobility on an origin-destination matrix (see publication SI for details).

In addition, two auxilliary datasets are included. The dataset tweets_data_berlin contains geo-tagged Tweets in the area of Berlin, collected between January and December of 2018. Included is the id of the user, the datetime of the Tweet, and the longitude-latitude coordinates.

The dataset OD_mobility_matrix contains the number of trips between spatial bins in the area of Berlin, recorded from mobile phone cell tower logs of a German mobile phone provider and aggregated to one statistical week. Included is the number of trips at each weekday and hour, the count of trips, and the coordinates of the start and end cell. A detailed descriptions is given in the publications' SI.

本存储库汇集了以下出版物中的数据：X。

其中三个移动性数据集 dEPR、sOD 和 dOD 包含了 10,000 个体在 28 天内的模拟移动轨迹。数据中包含了个体标识、跳转至新位置的时点（以小时计，自星期一凌晨 0 点起算）以及目标位置的经纬度坐标。这些轨迹是通过密度-EPR 模型创建的，并基于来源-目的地矩阵的智能体模拟移动性的两种变体（详见出版物补充材料中的详细信息）。

此外，还包括两个辅助数据集。数据集 tweets_data_berlin 包含了 2018 年 1 月至 12 月间在柏林地区收集的地理标记推文，其中包含了用户标识、推文时间戳以及经纬度坐标。

数据集 OD_mobility_matrix 记录了柏林地区空间单元之间的行程数量，数据来源于德国一家移动通信运营商的移动电话基站日志，并按统计周汇总。数据中包含了每个工作日和小时的行程数量、行程总数以及起点和终点基站的坐标。详细描述请参阅出版物补充材料。