COVID-19 US County Simulation

A web app that visualize the simulated spread of COVID-19 cases in all US counties based on the US census data and SIR model

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Inspiration

I wanted to see how fast COVID-19 is going to have an impact on my county

What it does

It simulates the spread of COVID-19 based on SIR model. The web app displays the interactive graphs for the simulated results.

How I built it

Using selenium and beautiful-soup, I scrapped COVID-19 data from the web. Companied with us county population and commute flow data from the US census, I built an SIR model to simulate the spread. After producing a fit model, I record the simulation data and built a streamlit app that displays interactive charts to give people an insight into the future.

Challenges I ran into

The data parsed from the web is very dirty, I had to spend a lot to time cleaning it.

Accomplishments that I'm proud of

The web app looks great and the chart works well

What I learned

Streamlit is a great module for building interactive data visualization apps in python

What's next for COVID-19 US County Simulation

Using machine learning models to fit the data. I am currently thinking about graph neural network. If you have any idea or want to contribute => https://github.com/MarkintoshZ/covid19-us-spread <=

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