nCov2019: An R package with real-time data, historical data and Shiny app

🏠 Data Sources

Wuhan-2019-nCoV GitHub repository.
- This data source contains detailed city level data in China, and country level data in worldwide.
National Health Commission of the People’s Republic of China
- This data source contains province level data in China.
DXY.cn. Pneumonia. 2020.
- We collect historical city level data in China from this source.
今日头条
- We collect historical province level data for oversea countries form this source. (Start from 2020-03-15)
  
  The user can obtain the historical provincial data in China, South Korea, United States, Japan, Iran, Italy, Germany and United Kingdom now.
  
  For example, the below will return the historical data for Italy.
```
library(nCov2019)
nCov2019_set_country(country = 'Italy') 
x['province'] # this will return Italy data only.
```

For more details see our vignette, Preprint, and Shiny app.

Guangchuang YU (package creator and maintainer)
- School of Basic Medical Sciences, Southern Medical University
- https://guangchuangyu.github.io
Xijin Ge (Shiny app)
- Department of Mathematics and Statistics, South Dakota State University
- https://www.sdstate.edu/directory/xijin-ge
Tianzhi Wu, Erqiang Hu and Patrick Tung (contributors)

If you use nCov2019, please cite the following preprint:

Get the development version from github:

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

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

Name		Name	Last commit message	Last commit date
Latest commit History 86 Commits
R		R
inst		inst
man		man
vignettes		vignettes
.Rbuildignore		.Rbuildignore
.gitignore		.gitignore
DESCRIPTION		DESCRIPTION
Makefile		Makefile
NAMESPACE		NAMESPACE
README.md		README.md
example.R		example.R
nCov2019.jpg		nCov2019.jpg