Mobility Data Analysis and Applications: A mid-year 2021 Survey
Abhishek Singh, Alok Mathur, Alka Asthana, Juliet Maina, Jade Nester,, Sai Sri Sathya, Santanu Bhattacharya, Vidya Phalke

TL;DR
This survey reviews recent mobility data analysis methods, focusing on COVID-19 epidemic modeling and privacy-preserving techniques to enable broader data usage.
Contribution
It provides a comprehensive overview of recent approaches in mobility data analysis and discusses privacy solutions to facilitate wider adoption.
Findings
Mobility data analysis enhances understanding of epidemic spread.
Privacy-preserving methods enable wider data sharing.
Recent surveys highlight growing research interest in mobility analytics.
Abstract
In this work we review recent works analyzing mobility data and its application in understanding the epidemic dynamics for the COVID-19 pandemic and more. We also discuss privacy-preserving solutions to analyze the mobility data in order to expand its reach towards a wider population.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHuman Mobility and Location-Based Analysis · Data-Driven Disease Surveillance · Urban Transport and Accessibility
