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

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	An Interstate Trips Analysis during COVID-19 in the United States
Creator	Zhang, Lei Sun, Qianqian Lee, Minha Xiong, Chenfeng Zhou, Weiyi Luo, Weiyu Herbert,
Source	ArXiv
abstract	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.
has issue date	2020-07-04(xsd:dateTime)
has license	arxiv
sha1sum (hex)	b0ff7f68370a68ef44505fa879a0bd2db202a50f
resource representing a document's title	An Interstate Trips Analysis during COVID-19 in the United States
resource representing a document's body	covid:b0ff7f68370a68ef44505fa879a0bd2db202a50f#body_text
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