Ontario COVID-19 Tracker Project

Bowen Zhang
June 24,2020

Introduction

This presentation is to introduce the Shiny application: Ontario Covid Tracker

Overview:

The application was built in Rstudio with the Shiny App and Leaflet packages. Here is an Overview:
The tracker allows users to view geographical data on each of the cases of COVID-19 in Ontario, Canada.
Users can filter the data and view the reactive map's results

Data API is from Ontario Data Catalogue: Link

The Data

We obtained the data via API and sourced 5 out of the 17 original variables for relevance.

Outcome1: The outcome of each case reported as of the current date

Case_Reported_Date: Date which the case was reported

Reporting_PHU_Latitude: Latitude of the reporting Public Health Unit

Reporting_PHU_Longitude: Longitude of the reporting Public Health Unit

Reporting_PHU: Name of the Public Health Unit reporting the case

'data.frame':   34016 obs. of  5 variables:
 $ Outcome1               : chr  "Resolved" "Resolved" "Resolved" "Resolved" ...
 $ Case_Reported_Date     : chr  "2020-05-09T00:00:00" "2020-05-21T00:00:00" "2020-05-29T00:00:00" "2020-05-30T00:00:00" ...
 $ Reporting_PHU_Latitude : num  43.7 43.7 43.7 43.7 43.7 ...
 $ Reporting_PHU_Longitude: num  -79.4 -79.4 -79.4 -79.4 -79.4 ...
 $ Reporting_PHU          : chr  "Toronto Public Health" "Toronto Public Health" "Toronto Public Health" "Toronto Public Health" ...

Functionality

Interactive map showing clusters of COVID-19 cases in Ontario
Filter by status: Resolved, Fatal, Not Resolved
Filter by date the cases were reported
Filter by individual Public Health Unit
Dive into each cluster to view Markers for individual cases (zoom in and click on cluster)
Dive into each individual case to see status and date for the patient (click on the marker)

Conclusion

Here is a quick output of the total number of cases (June 24/20):

length(covdata[,1])

[1] 34016

Try the Ontario Covid Tracker Shiny App yourself: Link Here

Github: Link Here