About: Global Data Science Project for COVID-19 Summary Report

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Global Data Science Project for COVID-19 Summary Report
Creator	Maruyama, Hiroshi Li, Yixin Li, Tianxiao Garcia-Gasulla, Dario Hanai, Masatoshi Ishii, Euma Kanezashi, Hiroki Kanzawa, Yuta Kurokawa, Mariko Li, Irene Miyoshi, Kunihiko Nakagawa, Naomi Napagao, Sergio Pérez-Arnal, Raquel Shiba, Sayaka Suzuki, Keita
Source	ArXiv
abstract	This paper aims at providing the summary of the Global Data Science Project (GDSC) for COVID-19. as on May 31 2020. COVID-19 has largely impacted on our societies through both direct and indirect effects transmitted by the policy measures to counter the spread of viruses. We quantitatively analysed the multifaceted impacts of the COVID-19 pandemic on our societies including people's mobility, health, and social behaviour changes. People's mobility has changed significantly due to the implementation of travel restriction and quarantine measurements. Indeed, the physical distance has widened at international (cross-border), national and regional level. At international level, due to the travel restrictions, the number of international flights has plunged overall at around 88 percent during March. In particular, the number of flights connecting Europe dropped drastically in mid of March after the United States announced travel restrictions to Europe and the EU and participating countries agreed to close borders, at 84 percent decline compared to March 10th. Similarly, we examined the impacts of quarantine measures in the major city: Tokyo (Japan), New York City (the United States), and Barcelona (Spain). Within all three cities, we found the significant decline in traffic volume. We also identified the increased concern for mental health through the analysis of posts on social networking services such as Twitter and Instagram. Notably, in the beginning of April 2020, the number of post with #depression on Instagram doubled, which might reflect the rise in mental health awareness among Instagram users. Besides, we identified the changes in a wide range of people's social behaviors, as well as economic impacts through the analysis of Instagram data and primary survey data.
has issue date	2020-06-10(xsd:dateTime)
has license	arxiv
sha1sum (hex)	a05c89b5c575b5821c129518058f6755cbd08cb0
resource representing a document's title	Global Data Science Project for COVID-19 Summary Report
resource representing a document's body	covid:a05c89b5c575b5821c129518058f6755cbd08cb0#body_text
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