How the vaccine distribution across the States is affected?

Team members

Feiyu Chen, Jiahua Li

Inspiration

Wanted to know more about what affects the vaccine distributions:

1. the severity of the pandemic in a region
2. people’s willingness to get vaccinated(people’s hesitancy)

What it does

We try to find three results:

1. Out of the total doses distributed to each state, how many of them will be actually applied to those who want to get vaccinated.
2. How the number of cases and death can predict the vaccination distribution.
3. How the vaccination hesitancy can predict the vaccination distribution.

How we built it

We first used different graphs to plot the relationship between these variables. Then we developed decision tree regressor models to see how these features can predict the vaccination allocation.

Challenges we ran into

Merging three different data sets. Low accuracy (high square errors) in our models.

Accomplishments that we're proud of

Using graphs to visualize and better explain our results. Using correlations to explain potential issues in our models.

What we learned

The decision tree regressor model may not be the model that produces the optimal results for our questions. The data that we put into our models may not be sufficient to produce accurate results.

What's next for How the vaccine distribution across the States is affected?

Try different models such as the linear regression model Try adding more demographic statistics to our models such as population density and mask policies.

Built With

• python