Skip to content

fdabl/Covid-Forecast

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

23 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Interactive Exploration of COVID-19 Forecasts

DOI

This Shiny app uses the model described in van Wees et al. (2020a, 2020b) to allow users to explore forecasts and interventions of COVID-19 in the Netherlands. Note that this Shiny app uses the reticulate R package to inferface with the TNO SEIR model. The relevant Python files are included in this repository.

If you want to cite this app in scientific work, please refer to it as: Dablander, Brunner, & van Wees (2020). Interactive Exploration of COVID-19 Forecasts and Interventions in the Netherlands. doi: 10.5281/zenodo.4055242

About

Shiny app to explore forecasts and interventions using the model developed by van Wees et al. (2020a, 2020b)

Resources

Stars

Watchers

Forks

Packages

 
 
 

Contributors