放眼世界，共享资讯，服务全球。我们搭建了一个新型冠状病毒疾病（Covid-19）疫情信息的一站式服务网站。
该站使用 R ncovr 包进行数据处理和可视化，采用的数据来自BlankerL/DXY-2019-nCoV-Crawler和 JackieZheng/2019-nCoV，省市名称的中英翻译来自 brightgems/china_city_dataset以及 R pinyin 包。该站是 R blogdown 包搭建，采用 HUGO 框架，托管在 GitHub 和 Netlify，利用 Travis-CI 自动化完成。
以下是部分媒体报道。
西交利物浦大学健康与环境科学系的研究人员用短短数天时间搭建起一个“一站式”的新冠肺炎疫情信息网站，该网站从权威渠道实时抓取信息，并为全球访客提供可便捷下载的疫情数据包。
The new data uses the combination of confirmed and suspected cases for all dates in the model, recalculating the cumulative total for all dates starting at the disease outbreak.
新数据使用模型中所有日期的确诊病例和疑似病例的组合，重新计算从疫情爆发开始以来的累计总数。
They created a website to provide scientists, journalists and other researchers open access to data from across China on novel coronavirus and daily statistical modeling. “We hope that through the integration of information, we can provide more people with data sharing and fight the epidemic together,” Zou said.
One open-access data model published on Monday by scientists at Xian Jiaotong-Liverpool University in eastern Jiangsu province also predicted a sharp decline in new confirmed infections next week before falling close to zero by February 23. However, the researchers warned there were many factors that could influence the model.
“To my knowledge, this is the only such open-access data website for novel coronavirus data that exists in the world,” said Johannes Knops, head of the Department of Health and Environmental Sciences at XJTLU.
健康与环境科学系主任Johannes Knops教授表示，“对于全球需要针对新冠疫情获取研究数据的科研工作者和新闻机构来说，该网站提供了非常有价值的资源。就我所知，这是目前世界上唯一一个关于新冠病毒疫情的开放获取数据网站。”