Episode 30: The Connecticut COVID-19 Test Spotter App (Part 1)

By The Shiny Dev Series Team

March 23, 2022

Episode 30 of the Shiny Developer Series reveals just how the power of open source software can be used to provide meaningful improvement to our daily lives. In the first of a two-part series, chief data scientist Mike Thomas reveals the motivation behind his brilliant COVID-19 test locator Shiny application, empowering a local community in Connecticut to efficiently report and track availability of test kits in a huge time of need. After a tour of the application interface, Mike shares his favorite techniques to bring an efficient user experience and the backend integrations with APIs to bring production-grade features to life.

Resources mentioned in the episode

Episode Timestamps

00:00:00 Episode Introduction
00:01:31 Mike’s introductiona and journey with R & Shiny
00:07:20 Data science consulting and Ketchbrook Analytics
00:11:40 Olivia Adams' inspiring story
00:17:40 Demo of Mike’s COVID-19 At-Home Test Spotter App
00:31:55 App code introduction
00:32:10 googleway package integrating the Google Maps API
00:36:25 Pulling addresses from map searches
00:41:10 Using MongoDB for records collection
00:43:15 bslib to simulate the multi-page app experience
00:46:20 Episode wrapup

shinydevseries::session_info()

📽 Find previous interviews at https://shinydevseries.com

📋 Feedback is more than welcome! Please send your comments or suggestions on our contact form at shinydevseries.com/contact

If you enjoyed this video or got value from it, then consider dropping something in the tip jar. Any money raised will be used to improve the channel and invest in additional equipment and resources to make the content even better!

💰 https://bit.ly/sdstip

📨 Help shape the future direction of the Shiny Developer Series live streams by completing this very short survey

Media production for the Shiny Developer Series is made possible by these outstanding projects and platforms: