Factors in COVID-19 Susceptibility

Names

Sarah Lemmon & Jeremy Schroeter

Inspiration

Covid19 has changed the way we live; we want to know if everyone has been affected equally by this. Are there any racial disparities in covid death rates? What is the influence of politics on covid deaths? How effective are vaccines? These are all questions we set out to answer

What it does

Compares covid death rates for different racial groups and sees if there is a significant difference between them. Also sees if there is a difference in covid death rates in counties that voted for Drumpf vs those that voted for Biden. Finally compare death rates and vaccine rates across different counties.

How we built it

Used governmental and New York Times datasets for vaccine, covid death data, county voting data, and county geospatial data. Parsed through until we found relevant data for each question and graphed and analyzed the results

Challenges we ran into

For question 2 and 3, our data required quite a bit of rearrangement, cleaning, etc. in order to use. Also was challenging to figure out how to implement the Z test in question 1.

Accomplishments that we're proud of

We are proud of dealing with how messy the data was and having taken command of pandas in order to do so.

What we learned

Although we believed that there would be disparities in covid outcomes between the racial groups, the nature of those disparities was unexpected and something new. We also did not expect to find that the counties which did not strongly go for either candidate were lower in their covid deaths.

What's next for Factors in COVID-19 Susceptibility

There are many other factors that might affect covid death rates such as gender, income, education level, etc. that would be interesting to run similar tests on to look into. Ultimately, our project gives lots of directions for future research into causal explanations of our findings.

Built With

• colab
• google
• python