COVID-19 Acute and Intensive Care Resource Tool - 2020 Shiny Contest Submission

COVID-19 Acute and Intensive Care Resource Tool

Authors: Matt Warkentin, Deepit Bhatia, Vasily Giannakeas, Isaac Bogoch, Nathan Stall
Working with Shiny < 1 year

Abstract: An online tool capable of estimating the maximum daily number of incident COVID-19 cases that a healthcare system could manage based on age-based case distribution and severity, and the number of available acute and critical care resources.

Full Description: The COVID-19 Acute and Intensive Care Resource Tool (CAIC-RT) was developed by a team of Toronto scientists in order to help healthcare systems estimate the maximum daily number of incident COVID-19 cases that are manageable based on available acute and critical care resources. The defaults values are based on best-emerging data from around the world. The tool is fully interactive in order to allow healthcare systems to configure any of the inputs to their own local clinical data and experience.

This is the first time anyone on the team has developed and deployed a public-facing shiny application. In the first 48 hours after our public release on social media, our tool was being used in 62 countries and 486 cities across five continents. We are now working with scientists around the world to crowd-source translations of the tool to other languages.


Category: Healthcare
Keywords: public health, healthcare, epidemiology, COVID-19, coronavirus
Shiny app: https://caic-rt.shinyapps.io/CAIC-RT/
Repo: https://github.com/mattwarkentin/CAIC-RT
RStudio Cloud: https://rstudio.cloud/project/1069673

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