The sars2pack R package includes data resources, workflows, and data science tools to understand and interpret the COVID-19 pandemic. Access to data resources is “real-time” to get the most up-to-date information. Use cases and introductory material are available in vignettes and in documentation.
Contributions are welcome. Have an interesting analysis that you’d like to share, write up an R markdown document and contribute it as a vignette. If you are not used to working collaboratively in github, just post a new issue to ask for help.
Thanks to the armies of people providing data for the rest of the world, often on a volunteer basis. Without their tireless work, we would not have these rapidly-developing resources.
BioManager::install('seandavi/sars2pack')
# OR
devtools::install_github('seandavi/sars2pack')
Epidemiologic, health risk, demographic, and healthcare system datasets from multiple sources are available and documented.
Automated workflows and current status.
| Workflow Status | Description |
|---|---|
 |
Produces regularly updated data resources and products |
 |
Prepare and publish pkgdown documentation |
To contribute to this package please make a fork and then issue pull requests.
- https://github.com/emanuele-guidotti/COVID19
- Top 25 R resources on Novel COVID-19 Coronavirus
- COVID-19 epidemiology with R
- https://github.com/RamiKrispin/coronavirus
- Youtube: Using R to analyze COVID-19
- DataCamp: Visualize the rise of COVID-19 cases globally with ggplot2
- MackLavielle/covidix R package