README.md

In timze216/nCov2019V2: Stats of the COVID-19 Cases

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

:house: Data Sources

For latest data: worldometers

For historical data: JHUCSSE

For vaccine data: raps.org

For therapeutics data: raps.org

Data Fetching with API provided by disease.sh

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

:writing_hand: Authors

• 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:

Tianzhi Wu, Erqiang Hu, Xijin Ge*, Guangchuang Yu*. Open-source analytics tools for studying the COVID-19 coronavirus outbreak. medRxiv, 2020.02.25.20027433. doi: https://doi.org/10.1101/2020.02.25.20027433

:arrow_double_down: Installation

Get the development version from github:

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

• get_nCov2019() to query online latest information
• load_nCov2019() to get historical data
• nCov2019_set_country() to set country options
• summary and [ to access data
• plot to present data on map
• dashboard() to open Shiny app dashboard

:art: Example

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

:book: 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
• nCov2019英文版，歪果仁也能用这次武汉疫情的数据了
• 新冠全球历史数据来了
• 当病毒R包nCov-2019遇上动图gganimate
• 爆款风玫瑰图：新冠肺炎全球疫情形势
• 螺旋的疫情图
• 欧洲很方，一不小心都要「意大利」了

:chart_with_upwards_trend: 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

:sparkling_heart: Collected in resource list

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

timze216/nCov2019V2 documentation built on Jan. 18, 2021, 12:39 a.m.