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OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19

Authors :
Davide Gurnari
Alexander E. Zarebski
Yue Wu
Niklas Hellmer
Adam Mahdi
Ahmad Farhat
Lionel Tarassenko
Tak-Shing T. Chan
Piotr Błaszczyk
Dario Salvi
John Harvey
Pawel Dlotko
Bernie Hogan
Source :
Scientific Reports, Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Publication Year :
2021
Publisher :
Malmö universitet, Internet of Things and People (IOTAP), 2021.

Abstract

Oxford COVID-19 Database (OxCOVID19 Database) is a comprehensive source of information related to the COVID-19 pandemic. This relational database contains time-series data on epidemiology, government responses, mobility, weather and more across time and space for all countries at the national level, and for more than 50 countries at the regional level. It is curated from a variety of (wherever available) official sources. Its purpose is to facilitate the analysis of the spread of SARS-CoV-2 virus and to assess the effects of non-pharmaceutical interventions to reduce the impact of the pandemic. Our database is a freely available, daily updated tool that provides unified and granular information across geographical regions. Design type Data integration objective Measurement(s) Coronavirus infectious disease, viral epidemiology Technology type(s) Digital curation Factor types(s) Sample characteristic(s) Homo sapiens

Details

Language :
English
ISSN :
20452322
Database :
OpenAIRE
Journal :
Scientific Reports, Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Accession number :
edsair.doi.dedup.....b11abacb07dcb77b42103bbfb73bbf2a