tetano
Editor, Senior Moderator
Sci Rep
. 2021 Apr 29;11(1):9237.
doi: 10.1038/s41598-021-88481-4.
OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19
Adam Mahdi[SUP] 1 [/SUP], Piotr B?aszczyk[SUP] 2 [/SUP], Pawe? D?otko[SUP] 3 4 [/SUP], Dario Salvi[SUP] 5 [/SUP], Tak-Shing Chan[SUP] 4 [/SUP], John Harvey[SUP] 4 [/SUP], Davide Gurnari[SUP] 6 [/SUP], Yue Wu[SUP] 7 8 [/SUP], Ahmad Farhat[SUP] 9 [/SUP], Niklas Hellmer[SUP] 4 [/SUP], Alexander Zarebski[SUP] 10 [/SUP], Bernie Hogan[SUP] 11 [/SUP], Lionel Tarassenko[SUP] 12 [/SUP]
Affiliations
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.
. 2021 Apr 29;11(1):9237.
doi: 10.1038/s41598-021-88481-4.
OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19
Adam Mahdi[SUP] 1 [/SUP], Piotr B?aszczyk[SUP] 2 [/SUP], Pawe? D?otko[SUP] 3 4 [/SUP], Dario Salvi[SUP] 5 [/SUP], Tak-Shing Chan[SUP] 4 [/SUP], John Harvey[SUP] 4 [/SUP], Davide Gurnari[SUP] 6 [/SUP], Yue Wu[SUP] 7 8 [/SUP], Ahmad Farhat[SUP] 9 [/SUP], Niklas Hellmer[SUP] 4 [/SUP], Alexander Zarebski[SUP] 10 [/SUP], Bernie Hogan[SUP] 11 [/SUP], Lionel Tarassenko[SUP] 12 [/SUP]
Affiliations
- PMID: 33927237
- DOI: 10.1038/s41598-021-88481-4
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.