OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19.
OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19.
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DOI：
10.1038/s41598-021-88481-4
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发表时间：
2021-04-29
影响因子：
4.6
通讯作者：
Tarassenko L
中科院分区：
文献类型：
--
作者：
Mahdi A;Błaszczyk P;Dłotko P;Salvi D;Chan TS;Harvey J;Gurnari D;Wu Y;Farhat A;Hellmer N;Zarebski A;Hogan B;Tarassenko L
牛津COVID-19数据库（OxCOVID-19 Database）是一个全面的COVID-19大流行相关信息来源。这一关系数据库包含所有国家在国家一级和50多个国家在区域一级跨时间和空间的流行病学、政府对策、流动性、天气等方面的时间序列数据。它是从各种（只要可用）官方来源策划的。其目的是促进对SARS-CoV-2病毒传播的分析，并评估非药物干预措施的效果，以减少大流行的影响。我们的数据库是一个免费提供的每日更新工具，提供跨地理区域的统一和粒度信息。
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.
影响因子：
29.9
作者：
Hale, Thomas;Angrist, Noam;Tatlow, Helen
通讯作者：
Tatlow, Helen
影响因子：
9.8
作者：
Xu, Bo;Gutierrez, Bernardo;Kraemer, Moritz U. G.
通讯作者：
Kraemer, Moritz U. G.