COVID-19-Merging, COVID-19-inside-Hubei, COVID-19-ex-Hubei
收藏arXiv2020-05-25 更新2024-08-06 收录
下载链接:
http://arxiv.org/abs/2005.12271v1
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资源简介:
本研究使用了三个COVID-19相关数据集:COVID-19-Merging、COVID-19-inside-Hubei和COVID-19-ex-Hubei。COVID-19-Merging是通过合并多国数据生成的大规模数据集,COVID-19-inside-Hubei包含湖北省内27,870名感染者的数据,而COVID-19-ex-Hubei则记录了湖北省外160,175名感染者的信息。这些数据集用于测试和验证COVID-QF框架的有效性,旨在通过高效的数据处理和查询执行,加速对全球COVID-19疫情数据的分析和响应。
This study utilized three COVID-19-related datasets: COVID-19-Merging, COVID-19-inside-Hubei, and COVID-19-ex-Hubei. COVID-19-Merging is a large-scale dataset generated by merging multi-national COVID-19 data. COVID-19-inside-Hubei contains data of 27,870 infected individuals within Hubei Province, while COVID-19-ex-Hubei records information of 160,175 infected individuals outside Hubei Province. These datasets are employed to test and validate the effectiveness of the COVID-QF framework, aiming to accelerate the analysis and response to global COVID-19 pandemic data through efficient data processing and query execution.
提供机构:
曼苏拉大学工程学院计算机与系统系
创建时间:
2020-05-25



