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 nation...

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Autores principales:	Adam Mahdi, Piotr Błaszczyk, Paweł Dłotko, Dario Salvi, Tak-Shing Chan, John Harvey, Davide Gurnari, Yue Wu, Ahmad Farhat, Niklas Hellmer, Alexander Zarebski, Bernie Hogan, Lionel Tarassenko
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/81118d411a72402ab52019592d40a235
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spelling	oai:doaj.org-article:81118d411a72402ab52019592d40a2352021-12-02T16:55:25ZOxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-1910.1038/s41598-021-88481-42045-2322https://doaj.org/article/81118d411a72402ab52019592d40a2352021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-88481-4https://doaj.org/toc/2045-2322Abstract 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 sapiensAdam MahdiPiotr BłaszczykPaweł DłotkoDario SalviTak-Shing ChanJohn HarveyDavide GurnariYue WuAhmad FarhatNiklas HellmerAlexander ZarebskiBernie HoganLionel TarassenkoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Adam Mahdi Piotr Błaszczyk Paweł Dłotko Dario Salvi Tak-Shing Chan John Harvey Davide Gurnari Yue Wu Ahmad Farhat Niklas Hellmer Alexander Zarebski Bernie Hogan Lionel Tarassenko OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19
description	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
format	article
author	Adam Mahdi Piotr Błaszczyk Paweł Dłotko Dario Salvi Tak-Shing Chan John Harvey Davide Gurnari Yue Wu Ahmad Farhat Niklas Hellmer Alexander Zarebski Bernie Hogan Lionel Tarassenko
author_facet	Adam Mahdi Piotr Błaszczyk Paweł Dłotko Dario Salvi Tak-Shing Chan John Harvey Davide Gurnari Yue Wu Ahmad Farhat Niklas Hellmer Alexander Zarebski Bernie Hogan Lionel Tarassenko
author_sort	Adam Mahdi
title	OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19
title_short	OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19
title_full	OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19
title_fullStr	OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19
title_full_unstemmed	OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19
title_sort	oxcovid19 database, a multimodal data repository for better understanding the global impact of covid-19
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/81118d411a72402ab52019592d40a235
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OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19

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