Query information of Wuhan coronavirus infected stats

• get_nCov2019() to query online latest information
• load_nCov2019() to get historical data
• summary and [ to access data
• plot to present data on map

✍️ Authors

Guangchuang YU

School of Basic Medical Sciences, Southern Medical University

https://guangchuangyu.github.io

If you use nCov2019 in published research, please cite the following paper:

Tianzhi Wu, Xijin Ge^*, Guangchuang Yu^*. An R package and a website with real-time data on the COVID-19 coronavirus outbreak. medRxiv, 2020.02.25.20027433. doi: https://doi.org/10.1101/2020.02.25.20027433

⏬ Installation

Get the development version from github:

## install.packages("remotes")
remotes::install_github("GuangchuangYu/nCov2019")

🎨 Example

Run the script example.R in R using source("example.R"), will produce the following figure:

📖 Documents

• online vignette: nCov2019 for studying COVID-19 coronavirus outbreak
• An R Package to Explore the Novel Coronavirus
• 检索疫情数据的R包来了
• 各省市的疫情历史数据来了！
• 一次搞定所有的疫情地图
• nCov2019：历史数据实现自动更新

📈 Shiny Apps that use nCov2019

• Coronavirus Tracking dashboard
• Novel Coronavirus Pneumonia (NCP-2019) Dashboard
• Coronavirus COVID-19 outbreak statistics and forecast
• 新冠状病毒统计和预测
• 新冠肺炎疫情分析平台

💖 Collected in resource list

• Open-Source-COVID-19
• Top 7 R resources on COVID-19 Coronavirus