Research Data Sources for effective COVID visualization parameters

[RaghavSaini01]

As a user of our covid visualization, I would like to see how the pandemic unfolded across UIUC and the Champaign-Urbana community and how it compared to the pandemic on a larger scale. Therefore, it is important for all visualizations to be driven by large-scale, specific, and sanitized and cleaned data points for a variety of variables.

Requirements:

• Find data on different variables across the covid pandemic (in both local CU communities as well as on a larger, national or global scale)
• Find a way to export data into commonly usable formats (CSV, JSON, etc)
• Verify data source, identify any known biases, and make a note of potential leanings that data collection may carry
• Identify desirable data variables we would like to have (eg: various aspects of campus engagement) but that we can't find, and create a survey question or form response that can be used for us to collect data.

[RaghavSaini01]

Currently Found Data Sources:

• JHU Global COVID Data, updated nightly
• State of Illinois data, stratified with demographics. Could be nice to cross-reference this with the next one...
• UIUC data (downloadable)
• COVID Massmail Archive for any word processing visualizations we may want to do!
• A large summary of covid reports pertaining to university planning; I spent like 5 mins scrolling and found some very interesting numbers with regards to classrooms used, sanitizing equipment quantities, facility changes, etc... will be some cherry-picking but it sure is valuable