arXiv Analytics

Sign in

arXiv:2007.02020 [cs.SI]AbstractReferencesReviewsResources

An Interstate Trips Analysis during COVID-19 in the United States

Weiyi Zhou, Minha Lee, Qianqian Sun, Weiyu Luo, Chenfeng Xiong, Lei Zhang

Published 2020-07-04Version 1

The worldwide outbreak of COVID-19 has posed a dire threat to the public. Human mobility has changed in various ways over the course of the pandemic. Despite current studies on common mobility metrics, research specifically on state-to-state mobility is very limited. By leveraging the mobile phone location data from over 100 million anonymous devices, we estimate the population flow between all states in the United States. We first analyze the temporal pattern and spatial differences of between-state flow from January 1, 2020 to May 15, 2020. Then, with repeated measures ANOVA and post-hoc analysis, we discern different time-course patterns of between-state population flow by pandemic severity groups. A further analysis shows moderate to high correlation between the flow reduction and the pandemic severity, the strength of which varies with different policies. This paper is promising in predicting imported cases.

Related articles: Most relevant | Search more
arXiv:2010.03707 [cs.SI] (Published 2020-10-08)
Spatial-temporal Analysis of COVID-19's Impact on Human Mobility: the Case of the United States
arXiv:2301.08175 [cs.SI] (Published 2023-01-19)
TRACE-Omicron: Policy Counterfactuals to Inform Mitigation of COVID-19 Spread in the United States
arXiv:1409.6336 [cs.SI] (Published 2014-09-22)
Dilemma of repeat collaborations in creative projects