论文标题
Covidnet:在Covid-19时期带来数据透明度
CovidNet: To Bring Data Transparency in the Era of COVID-19
论文作者
论文摘要
及时,值得信赖和细粒状案例信息对于当地社区和个体公民对Covid-19大流行的理性和数据驱动的反应至关重要。本文介绍了Covidnet,这是一个与大规模流行数据集相关的COVID-19跟踪项目,该项目由1Point3Acres启动。据我们所知,该项目是唯一提供来自全球27个以上国家 /地区的超过4124个细分的实时全球案例信息的平台,并提供了多语言支持。该平台还提供了交互式可视化工具来分析每个区域中的完整历史案例曲线。该项目最初是作为一个自愿项目弥合北美数据透明度差距的自愿项目,到目前为止,该项目已成为全球主要的独立资源之一,并已被许多其他跟踪平台所消费。数据集的准确性和新鲜度是我们自愿团队合作,众包渠道和自动数据管道所做的艰苦努力的结果。截至2020年5月18日,该项目网站已访问了超过2亿次,而Covidnet数据集已在全球范围内授权522家机构和组织在政策制定和学术研究方面。通过我们的API正式请求,所有数据集都可以在https://coronavirus.1point3acres.com上公开访问,以出于非商业目的访问。
Timely, creditable, and fine-granular case information is vital for local communities and individual citizens to make rational and data-driven responses to the COVID-19 pandemic. This paper presents CovidNet, a COVID-19 tracking project associated with a large scale epidemic dataset, which was initiated by 1Point3Acres. To the best of our knowledge, the project is the only platform providing real-time global case information of more than 4,124 sub-divisions from over 27 countries worldwide with multi-language supports. The platform also offers interactive visualization tools to analyze the full historical case curves in each region. Initially launched as a voluntary project to bridge the data transparency gap in North America in January 2020, this project by far has become one of the major independent sources worldwide and has been consumed by many other tracking platforms. The accuracy and freshness of the dataset is a result of the painstaking efforts from our voluntary teamwork, crowd-sourcing channels, and automated data pipelines. As of May 18, 2020, the project website has been visited more than 200 million times and the CovidNet dataset has empowered over 522 institutions and organizations worldwide in policy-making and academic researches. All datasets are openly accessible for non-commercial purposes at https://coronavirus.1point3acres.com via a formal request through our APIs.