Early warning of COVID-19 hotspots using human mobility and web search query data

COVID-19 has disrupted the global economy and well-being of people at an unprecedented scale and magnitude. To contain the disease, an effective early warning system that predicts the locations of outbreaks is of crucial importance. Studies have shown the effectiveness of using large-scale mobility...

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Bibliographic Details
Published in:	Computers, Environment and Urban Systems Vol. 92; p. 101747
Main Authors:	Yabe, Takahiro, Tsubouchi, Kota, Sekimoto, Yoshihide, Ukkusuri, Satish V.
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.03.2022 Elsevier BV Elsevier Science Ltd
Subjects:	Coronaviruses COVID-19 Data analysis Data search Early warning systems Epidemics Global economy Human mobility Mobility Outbreaks Population density Queries Risk Viral diseases Web search data COVID-19 Epidemics Human mobility Web search data
ISSN:	0198-9715, 1873-7587, 0198-9715
Online Access:	Get full text
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