Mapping & Spatial Analysis | Statistical Methods | Data Visualization
The following is a list of tutorials for working with COVID-19 data. This page will be updated as we find or create more tutorials. In the mean time, please feel free to contact us at mdl@library.utoronto.ca or via our help form if you require assistance cleaning, analyzing, mapping, or visualizing your own data, or if you would like our help finding appropriate data to use.
We developed a tutorial on recreating aspects of the Tableau COVID-19 workbook (see below).
Mapping & Spatial Analysis
- ArcGIS Online*
- Esri
- Mapping coronavirus, responsibly (by Kenneth Field)
- How to Launch a Coronavirus Response Website Today (by Katie Thompson)
- Coronavirus Response: Wiring up Applications and Dashboards (recorded by GISinc, contents and additional resources by Esri)
- Disaster Response Program: Request Assistance (for public health organizations to request immediate and free help setting up an Esri Coronavirus Response Website)
- Coronavirus GIS Community (community resources)
- Python utility to write COVID-19 CSV snapshots from arcgis.com feature services (v2) (by Vince Angelo)
- Esri Canada
- FAQ: Responding to the COVID-19 Crisis with Free ArcGIS Hub Resources (by Chris North)
- Create a COVID-19 Dashboard using ArcGIS Dashboards
- Visualize Temporal Data in ArcGIS Pro (This tutorial demonstrates how to visualize changes in the Covid-19 infection cases in Canada over time using the time slider.)
- Esri
- R
*ArcGIS Online is available to all faculty, students and staff. Simply login using your utorid at http://utoronto.maps.arcgis.com and select "Enterprise Login" and "ArcGIS Online (University of Toronto)"
Statistical Methods
Epidemiologic Measures
- Centers for Disease Control and Prevention
- Types of Measures and Best Practices in Describing Epidemiologic Data
- Measures of Morbidity Frequency
- Measures of Mortality Frequency
- R tutorials using epidemiologic measures
- Tidying the John Hopkins Covid-19 data (R-Bloggers)
- Creating a COVID-19 Tracking Table in R (by Andrew Ba Tran, Washington Post)
Models
- University of Toronto
- COVID19.analytics (R package with realtime data and tutorials, by Prof. Marcelo Ponce, SciNet, University of Toronto)
- Simplilearn
- Ingham Institute for Applied Medical Research
- COVID-19 epidemiology with R (by Tim Churches)
- Top 50 R resources on Novel COVID-19 Coronavirus (by Antoine Soetewey, Université Catholique de Louvain)
MDL R Tutorial [in construction]: https://mdl.library.utoronto.ca/technology/tutorials/covid-19-data-r
Data Visualization
- Tableau**
- COVID-19 (Coronavirus) Data Resource Hub (source: Tableau)
- Free Tableau template, built to be modified; includes some instructions
- Uses data from the WHO & John Hopkins
- Contains links to data viz best practices re: COVID-19
- Building a COVID-19 resource hub: Tracking the virus through actionable data (source: Tableau)
- Creating a Tableau Dashboard using COVID-19 data (original dashboard by Tableau, tutorial for recreating the dashboard by the Map & Data Library, University of Toronto)
- COVID-19 (Coronavirus) Data Resource Hub (source: Tableau)
** Tableau software is free for University of Toronto students, researchers, and instructors, by following these academic license request instructions. Everyone, regardless of academic affiliation, can use the free version, Tableau Public.
- Python
- Visualise COVID-19 case data using Python, Dash and Plotly (by Meinhard Ploner)
- R
- Visualizing COVID-19 (by Richie Cotton at Datacamp)
- Business Analyst Online***
- Esri
- Create State-wide Coronavirus (COVID-19) Infographic | ArcGIS Blog (by Helen Brown, Jordan Cullen, Kyle Watson)
- Esri
*** Business Analyst Online (BAO) is part of the University of Toronto Esri site license. To request access to BAO, please fill out this online request form.