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

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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41598-021-88481-4

Authors


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Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Oxford college:
Wolfson College
Role:
Author


Publisher:
Springer Nature
Journal:
Scientific Reports More from this journal
Volume:
11
Article number:
9237
Publication date:
2021-04-29
Acceptance date:
2021-03-30
DOI:
EISSN:
2045-2322
Pmid:
33927237


Language:
English
Keywords:
Pubs id:
1175262
Local pid:
pubs:1175262
Deposit date:
2022-08-19

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