Covid-19 Spread Within Wisconsin

Team

Gunnar Schmitz
Emma Brostrom
Noah Hansen

Data Links

• Covid-19 cases by state
  • https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
• Population per county
  • https://worldpopulationreview.com/us-counties/wi/
• Nursing home data in Wisconsin
  • https://data.dhsgis.wi.gov/datasets/wisconsin-nursing-homes
• Shapefile of Wisconsin counties and deaths/amount of Covid19 cases from March 15 to current
  • https://data.dhsgis.wi.gov/datasets/wisconsin-covid-19-historical-cases-county-boundary/data

Audience

• Wisconsin government - This analysis may be useful to the government of WI and specific WI counties. They have the capability to implement policies based upon findings here.
• Wisconsin residents - Assuming sufficient background knowledge, analysis will be useful to inform residents of personal decisions regarding taking action against Covid-19.

Most important questions to answer

• How does the concentration of population in Wisconsin counties affect the spread of Covid-19?
• How has age affected the number of Covid-19 cases in Wisconsin?
• How have other demographic factors (race, education, etc) affected the spread of Covid-19 in Wisconsin?
• How has the spread of Covid-19 in Wisconsin compared with nationwide data, and why?

Possible actions to evaluate

• Evaluate how the policies already implemented regarding Covid-19 are effective or ineffective in relation to data analysis.
• Evaluate how policies can continue to be altered or imposed that will use what this data finds in order to most effectively combat the spread of disease.
• Evaluate high-risk groups of individuals and focus policies there.
• Evaluate how the public are able to take individual action to slow the spread of disease.