Visualizing COVID-19

February 2021

Design Media II

The nature and transmissibility of COVID-19 has not only highlighted the importance spatial considerations play in determining our health, but also the ways in which economic and social inequality amplify disproportionate rates of infection and death. Community housing buildings in Toronto typically suffer from issues of over-crowding. In a time when social distancing is paramount, the ability to visualize and study whether a relationship exists between crowded housing and infection becomes important to explore and analyze.

Using GIS and COVID-19 data from the City of Toronto Open Data Portal and the Ontario Ministry of Health, this project aimed to plot Toronto community housing buildings against COVID-19 case rates by neighbourhood using Grasshopper 3D, Excel, Illustrator, and QGIS.