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Quantifying human mobility behaviour changes during the COVID-19 outbreak in the United States

Engineering and Technology

Quantifying human mobility behaviour changes during the COVID-19 outbreak in the United States

Y. Pan, A. Darzi, et al.

This research conducted by Yixuan Pan, Aref Darzi, Aliakbar Kabiri, Guangchen Zhao, Weiyu Luo, Chenfeng Xiong, and Lei Zhang explores the significant shifts in human mobility patterns across the US during the COVID-19 crisis. Utilizing a groundbreaking Social Distancing Index, it reveals how government mandates and local outbreak severity influenced social distancing behavior.

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Playback language: English
Abstract
This paper investigates changes in human mobility patterns in the US during the COVID-19 outbreak using real-time mobile device location data from February 2 to May 30, 2020. A Social Distancing Index (SDI) was developed to measure mobility changes at different geographic levels. The study found that both government orders and local outbreak severity significantly impacted social distancing. The SDI helps monitor real-time mobility behaviors, understand the influence of government orders, and evaluate the risk of local outbreaks.
Publisher
Scientific Reports
Published On
Nov 26, 2020
Authors
Yixuan Pan, Aref Darzi, Aliakbar Kabiri, Guangchen Zhao, Weiyu Luo, Chenfeng Xiong, Lei Zhang
Tags
COVID-19
human mobility
social distancing
real-time data
government orders
outbreak severity
Social Distancing Index

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