To do what I can as a non-clinician to help the fight against COVID-19.

What it does

Forecasts the number of new COVID-19 cases for each county in the US using an LSTM neural network model to model the time series.

How I built it

Predominantly Python and Keras in a notebook environment.

Challenges I ran into

Finding county-level data was more difficult than expected. I was planning to add demographics and social determinants based on county, but had more difficulty finding suitable data sources.

Accomplishments that I'm proud of

Finishing this project as a team of one while also doing my full-time job.

What I learned

Training LSTMs is hard!

What's next for Predicting COVID-19 Case Counts

Improving the model with additional data sources, more time spent in parameter optimization.

Built With

Share this project: