TL;DR
The COVID-19 lockdown in Germany caused significant, lasting structural changes in mobility networks, reducing long-distance travel, increasing local clustering, and impacting epidemic spread dynamics.
Contribution
This study reveals that lockdown measures induce persistent structural changes in mobility networks, affecting disease transmission models and epidemic control strategies.
Findings
Long-distance travel was disproportionately reduced.
Mobility networks became more localized and clustered.
Structural changes delayed and flattened epidemic spread.
Abstract
In the wake of the COVID-19 pandemic many countries implemented containment measures to reduce disease transmission. Studies using digital data sources show that the mobility of individuals was effectively reduced in multiple countries. However, it remains unclear whether these reductions caused deeper structural changes in mobility networks, and how such changes may affect dynamic processes on the network. Here we use movement data of mobile phone users to show that mobility in Germany has not only been reduced considerably: Lockdown measures caused substantial and long-lasting structural changes in the mobility network. We find that long-distance travel was reduced disproportionately strongly. The trimming of long-range network connectivity leads to a more local, clustered network and a moderation of the "small-world" effect. We demonstrate that these structural changes have a…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
