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

Mahdi, Adam, Blaszczyk, Piotr, Dlotko, Pawel, Dario, Salvi, Chan, Tak-Shing, Harvey, John ORCID: https://orcid.org/0000-0001-9211-0060, Gurnari, Davide, Wu, Yue, Ahmad, Farhat, Hellmer, Niklas, Zarebski, Alexander, Hogan, Bernie and Tarassenko, Lionel 2021. OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19. Scientific Reports 11 (1) , 9237. 10.1038/s41598-021-88481-4

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Abstract

AbstractOxford 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

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Mathematics
Additional Information:	This article is licensed under a Creative Commons Attribution 4.0 International License
Publisher:	Nature Research
ISSN:	2045-2322
Date of First Compliant Deposit:	7 July 2022
Date of Acceptance:	30 March 2021
Last Modified:	10 May 2023 16:43
URI:	https://orca.cardiff.ac.uk/id/eprint/151001

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