Anomaly detection of mobile positioning data with applications to COVID-19 situational awareness

Due to an unprecedented agreement with the European Mobile Network Operators (MNOs) the Joint Research Centre (JRC) of the European Commission was in charge of collecting and analyze mobile positioning data to provide scientic evidence to policy makers in order to face the COVID-19 pandemic. This work introduces a live anomaly detection system for these high frequency and high-dimensional data collected at European scale. To take into account the dierent granularity in time and space of the data, the system has been designed to be simple, yet robust to the data diversity, with the aim of detecting abrupt increase of mobility towards specic regions but also to identify anomalies and missing information in the data flow as well as sudden drops of movements. A web application designed for policy makers, makes possible to visualize the anomalies and perceive the effect of containment and lifting measures in terms of their impact on human mobility as well as spot potential new hotbeds related to large gatherings.

IACUS Stefano;  SERMI Francesco;  SPYRATOS Spyridon;  TARCHI Dario;  VESPE Michele; 

2022-02-02

SPRINGERNATURE

JRC122058

2520-8764 (online),    2520-8756 (print),   

https://link.springer.com/article/10.1007%2Fs42081-021-00109-z,    https://publications.jrc.ec.europa.eu/repository/handle/JRC122058,   

10.1007/s42081-021-00109-z (online),