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Related Experiment Video

Updated: Aug 16, 2025

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

Comparing community mobility reduction between first and second COVID-19 waves.

Gabriela Cavalcante da Silva¹, Fernanda Monteiro de Almeida¹, Sabrina Oliveira²

¹IMD, Universidade Federal do Rio Grande do Norte (UFRN), Brazil.

Transport Policy

|December 26, 2022

Summary

This summary is machine-generated.

Mobility reduction rates during the first COVID-19 wave were higher than the second. Some areas saw pre-pandemic mobility levels during holidays, with Manaus being an exception due to the P1 variant.

Keywords:

COVID-19 Google community mobility reports Social distancing

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Published on: November 7, 2020

Area of Science:

Epidemiology
Public Health
Data Science

Background:

Compares mobility reduction rates between the first and second COVID-19 waves across American and European localities.
Utilizes Google Community Mobility Reports (CMR) data for analysis.
Examines mobility changes during lockdown periods considering multiple place categories.

Purpose of the Study:

To compare mobility reduction rates during the first and second COVID-19 waves.
To analyze lockdown impacts on mobility across different geographical locations and place categories.
To identify trends and variations in population movement patterns during the pandemic.

Main Methods:

Employs locality-wise calibrated CMR data.
Applies seasonal-trend decomposition by LOESS (STL) to isolate trends.
Uses radar charts and area under the curve (AUC) for data aggregation and analysis.

Main Results:

First wave mobility reductions were generally higher than the second wave.
Some localities experienced pre-pandemic mobility levels during holiday seasons.
Manaus showed significant mobility reduction in the second wave, potentially due to the P1 variant and oxygen crisis.

Conclusions:

Mobility reduction effectiveness varied significantly between the first and second COVID-19 waves.
Holiday seasons posed challenges to maintaining reduced mobility.
Specific variants and local crises, like in Manaus, can influence mobility patterns independently of general trends.