Comparing community mobility reduction between first and second COVID-19 waves,Transport Policy

当前位置： X-MOL 学术 › Transp. Policy › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Comparing community mobility reduction between first and second COVID-19 waves
Transport Policy ( IF 6.3 ) Pub Date : 2021-08-25 , DOI: 10.1016/j.tranpol.2021.08.004
Gabriela Cavalcante da Silva ₁ , Fernanda Monteiro de Almeida ₁ , Sabrina Oliveira ₂ , Elizabeth F Wanner ₃ , Leonardo C T Bezerra ₁ , Ricardo H C Takahashi ₄ , Luciana Lima ₅

Affiliation

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.

中文翻译：

比较第一波和第二波 COVID-19 之间社区流动性的减少

背景

在本文中，我们使用 Google 社区流动性报告 (CMR) 数据对美国和欧洲多个地区第一波和第二波 COVID-19 浪潮的流动性减少率进行了比较。通过多维可视化，我们能够比较所选每个地点不同锁定期的流动性减少情况，同时考虑 CMR 中提供的多个地点类别。此外，我们的分析还包括每个地区的 56 天封锁期和 COVID-19 浪潮，我们将其作为 56 天的时期和 14 天的连续窗口进行分析。