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@article{ Mahdi2021, title = {OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19}, author = {Mahdi, Adam and Błaszczyk, Piotr and Dłotko, Paweł and Salvi, Dario and Chan, Tak-Shing and Harvey, John and Gurnari, Davide and Wu, Yue and Farhat, Ahmad and Hellmer, Niklas and Zarebski, Alexander and Hogan, Bernie and Tarassenko, Lionel}, journal = {Scientific Reports}, pages = {1-11}, volume = {11}, year = {2021}, issn = {2045-2322}, doi = {https://doi.org/10.1038/s41598-021-88481-4}, urn = {https://nbn-resolving.org/urn:nbn:de:0168-ssoar-78942-8}, 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.}, keywords = {Datenbank; data bank; Archiv; archives; Epidemie; epidemic; Auswirkung; impact; Zeitreihe; time series; Epidemiologie; epidemiology; Regierungspolitik; government policy; Gesundheitspolitik; health policy}}