Inspiration and what it does
We wanted to make a tool to help people see the spread of COVID-19, how the number of cases would change in the near future, and the contributing factors to the change in cases. Although there are frequent updates on coronavirus spread, the current data visualization tools do not use machine learning (ML) to show the predicted COVID-19 cases. Therefore, we wanted to create a comprehensive, but easy-to-use, COVID-19 app, that provides data visualizations of COVID-19 and COVID-19 predictions.
The data visualizations we provide are: (1) a map of Michigan, where green regions indicate a lower COVID-19 case count, and red indicates a high COVID-19 case count; (2) a similar Michigan map, but showing the predicted trend in COVID-19 cases in the next 5 days; (3) when click on a county in the map, users can see a line graph of the daily cases in COVID-19 on the right; (4) for a selected county, the unemployment rate is shown over time, with data from the Bureau of Labor Statistics; and (5) at the bottom right the demographics of the selected county are shown.
How we built it
Challenges we faced
First, we had trouble designing the UI. With multiple graphs, it was important to structure the app so the user can easily interpret the information. Second, we had difficulty training and designing the machine learning model. Using a neural network, such as an LSTM, could yield better results in time-based forecasting predictions.
What we learned
While we were developing the app, we learned a lot about D3.js, Bootstrap, Git, and machine learning!
In the future, we hope to expand the COVID prediction model for more accurate predictions, and adding more data visualizations to see other COVID-related trends, such as the use of masks.