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

  1. Adam Mahdi
  2. Piotr Błaszczyk
  3. Paweł Dłotko
  4. Dario Salvi
  5. Tak-Shing Chan
  6. John Harvey
  7. Davide Gurnari
  8. Yue Wu
  9. Ahmad Farhat
  10. Niklas Hellmer
  11. Alexander Zarebski
  12. Bernie Hogan
  13. Lionel Tarassenko

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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

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  1. Version published to 10.1038/s41598-021-88481-4
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    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

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    Table 2: Resources

    No key resources detected.

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  3. Version published to 10.1101/2020.08.18.20177147 on medRxiv