Mobility and the spatial spread of SARS-CoV-2 in Belgium
Michiel Rollier, Gisele H. B. Miranda, Jenna Vergeynst, Joris Meys,, Tijs W. Alleman, the Belgian Collaborative Group on COVID-19 Hospital, Surveillance, Jan M. Baetens

TL;DR
This study analyzes mobility and COVID-19 data across Belgian regions, revealing that movement patterns significantly influenced early viral spread and excess mortality, with correlations weakening as the epidemic progressed.
Contribution
It introduces a detailed analysis of mobility's impact on SARS-CoV-2 spread in Belgium using innovative connectivity and time series comparison methods.
Findings
Mobility decreased during high-incidence periods.
Arrondissements show different epidemic progression patterns.
Connectivity with initial outbreak areas correlates with excess mortality.
Abstract
We analyse and mutually compare time series of COVID-19-related data and mobility data across Belgium's 43 arrondissements (NUTS 3). In this way, we reach three conclusions. First, we could detect a decrease in mobility during high-incidence stages of the pandemic. This is expressed as a significant change in the average amount of time spent outside one's home arrondissement, investigated over five distinct periods, and in more detail using an inter-arrondissement ``connectivity index'' (CI). Second, we analyse spatio-temporal COVID-19-related hospitalisation time series, after smoothing them using a generalise additive mixed model (GAMM). We confirm that some arrondissements are ahead of others and morphologically dissimilar to others, in terms of epidemiological progression. The tools used to quantify this are time-lagged cross-correlation (TLCC) and dynamic time warping (DTW),…
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
TopicsCOVID-19 epidemiological studies · Health disparities and outcomes
