Thread by @JPSoucy

Want to know what #COVID19 looks like in #Canada? @ishaberry2 and I are pleased to announce the release of two data sources: a curated spreadsheet of case info and a dashboard to visualize Canadian data, link below. 👇

art-bd.shinyapps.io/covid19canada/

The first tab provides an overview of the situation in Canada: reported cases, recoveries, deaths, number of people tested, and the distribution of cases by province.

The next tab shows the timeline of reported cases in Canada (we are likely to see more cases this evening). Reported cases are a lagging indicator of infection—these represent transmission from the past few weeks, since it takes time for people to develop symptoms and get tested.

The final tab shows a map of cases across Canada. Each point represents the total number of reported cases in a particular region (e.g., Toronto, Calgary, Durham, etc.), not individual cases.

We hope to add more features to the dashboard in the coming weeks. We’d love to hear your feedback and for you to let us know what you’d find most useful.

We plan on updating the raw data every evening (EDT). It can be viewed and downloaded at the link below. Please make use of it and cite where appropriate! 👇

docs.google.com/spreadsheets/d…

Thank you to @JWright159 and everyone else helping to keep this list up to date. Thank you also to our PhD supervisor @DFisman and infectious disease modeller extraordinaire @AshTuite for their fantastic work during this pandemic. Give them a follow to learn more!

Remember, it’s up to all of us to help #FlattenTheCurve, which means practicing #SocialDistancing. This thread is a good place to start. 👇

It would be negligent of me not to mention the huge assist from @rstudio, @hadleywickham, and the #rstats community in general for bringing this project to life! #Rshiny really is a fantastic tool for interactive dashboards.