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

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,...

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Autores principales: Mahdi, Adam, Błaszczyk, Piotr, Dłotko, Paweł, Salvi, Dario, Chan, Tak-Shing, Harvey, John, Gurnari, Davide, Wu, Yue, Farhat, Ahmad, Hellmer, Niklas, Zarebski, Alexander, Hogan, Bernie, Tarassenko, Lionel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084933/
https://www.ncbi.nlm.nih.gov/pubmed/33927237
http://dx.doi.org/10.1038/s41598-021-88481-4
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author Mahdi, Adam
Błaszczyk, Piotr
Dłotko, Paweł
Salvi, Dario
Chan, Tak-Shing
Harvey, John
Gurnari, Davide
Wu, Yue
Farhat, Ahmad
Hellmer, Niklas
Zarebski, Alexander
Hogan, Bernie
Tarassenko, Lionel
author_facet Mahdi, Adam
Błaszczyk, Piotr
Dłotko, Paweł
Salvi, Dario
Chan, Tak-Shing
Harvey, John
Gurnari, Davide
Wu, Yue
Farhat, Ahmad
Hellmer, Niklas
Zarebski, Alexander
Hogan, Bernie
Tarassenko, Lionel
author_sort Mahdi, Adam
collection PubMed
description 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.
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spelling pubmed-80849332021-04-30 OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19 Mahdi, Adam Błaszczyk, Piotr Dłotko, Paweł Salvi, Dario Chan, Tak-Shing Harvey, John Gurnari, Davide Wu, Yue Farhat, Ahmad Hellmer, Niklas Zarebski, Alexander Hogan, Bernie Tarassenko, Lionel Sci Rep Article 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. Nature Publishing Group UK 2021-04-29 /pmc/articles/PMC8084933/ /pubmed/33927237 http://dx.doi.org/10.1038/s41598-021-88481-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Mahdi, Adam
Błaszczyk, Piotr
Dłotko, Paweł
Salvi, Dario
Chan, Tak-Shing
Harvey, John
Gurnari, Davide
Wu, Yue
Farhat, Ahmad
Hellmer, Niklas
Zarebski, Alexander
Hogan, Bernie
Tarassenko, Lionel
OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084933/
https://www.ncbi.nlm.nih.gov/pubmed/33927237
http://dx.doi.org/10.1038/s41598-021-88481-4
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