This is the website for information of 2019-nCoV outbreak.
WeChat official account
If you have any suggestions for this project, please feel free to submit an issue to the project homepage:
The Laiyindata Team
- Dr. ZHAO Peng: database construction, website building and maintainence, data visualization
- Dr. ZOU Yi: prediction model development
- Dr. WANG Xiaoxiang: Brand and activity planning, copywriting
- Dr. HAN Lei: International interface
On the media
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.
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.
- South China Morning Post: Coronavirus illness given official name Covid-19 as hopes rise that cases could peak soon
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.
R ncovr package is used for data processing and visualization.
The data used on this site come from BlankerL/DXY-2019-nCoV-Crawler and JackieZheng/2019-nCoV. The credit of the translation of area/city names from Chinese into English belongs to brightgems/china_city_dataset and the R pinyin package (Zhao, 2019).