策略引擎>> nCov2019>> 返回
项目作者： YuLab-SMU

项目描述 ：
:microbe: Exploring COVID-19 data
高级语言： R
项目地址: git://github.com/YuLab-SMU/nCov2019.git
创建时间： 2021-01-17T03:37:04Z
项目社区：https://github.com/YuLab-SMU/nCov2019
开源协议：Other
下载


nCov2019: An R package for exploring COVID-19 statistics

The package was developed since Jan. 2020 and originally hosted on GuangchuangYu/nCov2019. This repo contains an up-to-date version with data from new sources (from worldometers and JHUCSSE) and new data types (vaccine and therapeutics data).

:house: Data Sources

Fetching data using API provided by disease.sh

Find out more on the vignette vignette.

:writing_hand: Authors

Guangchuang YU and Tianzhi Wu

https://yulab-smu.top

If you use nCov2019, please cite the following article:

Wu T, Hu E, Ge X*, Yu G*. 2021. nCov2019: an R package for studying the COVID-19 coronavirus pandemic. PeerJ 9:e11421 https://doi.org/10.7717/peerj.11421

:arrow_double_down: Installation

Get the development version from github:

  1. ## install.packages("remotes")
  2. remotes::install_github("YuLab-SMU/nCov2019")

:beginner: Usages

  • res <- query() to query 5 types of statistics
    • global summary,
    • latest data
    • historical data
    • vaccine data
    • therapeutic data
  • x <- res$global to access global summary data
    • summary(x) will return global overview
    • x$affectedCountries will return total affected countries,(other 20 types of statistics is available)
  • y <- res$latest or y <- res$historical to access latest or historical data
    • y["global"] will return all countries’ statistics
    • y[country] will return country level statistics
    • For countries in China, UK, Australia, Canada ,Denmark , France and Netherlands, provincial data is also available and y[country,province] will return statistics data of the selected province
  • z <- res$vaccine or y <- res$therapeutics to access vaccine or therapeutic data
    • summary(z) will return the summary of their trial phase
    • z["all"] will return all candidate
    • z[ID="id1"] each vaccine or therapeutics candidate has an id, this will return detail description of the selected candidate (e.g., “id1”)
  • 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

:chart_with_upwards_trend: Shiny Apps that use nCov2019

:sparkling_heart: Collected in resource list