Abstract Background In this paper, we conduct a mobility reduction rate comparison between the first and second COVID-19 waves in several localities from America and Europe using Google community mobility reports (CMR) data. Through multi-dimensional visualization, we are able to compare the reduction in mobility from the different lockdown periods for each locality selected, simultaneously considering multiple place categories provided in CMR. In addition, our analysis comprises a 56-day lockdown period for each locality and COVID-19 wave, which we analyze both as 56-day periods and as 14-day consecutive windows. Methods We use locality-wise calibrated CMR data, which we process through seasonal-trend decomposition by LOESS (STL) to isolate trend from seasonal and noise effects. We scale trend data to draw Pareto-compliant conclusions using radar charts. For each temporal granularity considered, data for a given place category is aggregated using the area under the curve (AUC) approach. Results In general, reduction rates observed during the first wave were much higher than during the second. Alarmingly, December holiday season mobility in some of the localities reached pre-pandemic levels for some of the place categories reported. Manaus was the only locality where second wave mobility was nearly as reduced as during the first wave, likely due to the P1 variant outbreak and oxygen supply crisis.
Graphical abstract Display Omitted
Highlights We compare social distancing adherence in different localities during two COVID-19 waves. Reduction rates reveal contrasting social distancing dynamics over time. In general, mobility reduction was much higher during the first wave. Holiday season mobility reached pre-pandemic levels for some locations.
Comparing community mobility reduction between first and second COVID-19 waves
Transport Policy ; 112 ; 114-124
2021-08-15
11 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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