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...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2021-04-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-88481-4 |
| _version_ | 1818682621960388608 |
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| 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 |
| collection | DOAJ |
| 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 |
| first_indexed | 2024-12-17T10:21:46Z |
| format | Article |
| id | doaj.art-81118d411a72402ab52019592d40a235 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-17T10:21:46Z |
| publishDate | 2021-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-81118d411a72402ab52019592d40a2352022-12-21T21:52:47ZengNature PortfolioScientific Reports2045-23222021-04-0111111110.1038/s41598-021-88481-4OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19Adam Mahdi0Piotr Błaszczyk1Paweł Dłotko2Dario Salvi3Tak-Shing Chan4John Harvey5Davide Gurnari6Yue Wu7Ahmad Farhat8Niklas Hellmer9Alexander Zarebski10Bernie Hogan11Lionel Tarassenko12Department of Engineering Science, Institute of Biomedical Engineering, University of OxfordFaculty of Computer Science, Electronics and Telecommunications, AGH University of Science and TechnologyDioscuri Centre in Topological Data Analysis, Mathematical Institute, Polish Academy of SciencesSchool of Arts and Communication (K3), Malmö UniversityDepartment of Mathematics, Swansea UniversityDepartment of Mathematics, Swansea UniversityDepartment of Mathematics, University of PadovaMathematical Institute, University of OxfordAmerican University of SharjahDepartment of Mathematics, Swansea UniversityDepartment of Zoology, University of OxfordOxford Internet Institute, University of OxfordDepartment of Engineering Science, Institute of Biomedical Engineering, University of OxfordAbstract 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 sapienshttps://doi.org/10.1038/s41598-021-88481-4 |
| spellingShingle | 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 Scientific Reports |
| 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 |
| url | https://doi.org/10.1038/s41598-021-88481-4 |
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