Infect-ID: A Patient Network Visualization Tool

Infect-ID: Built by Jason Xie, David Wan, Vaibhav Sridhar, and George Wang

Submission for "The Congressional App Challenge 2023" - (CA 29)

In a few lines:

🧑‍⚕️ Built for the General Public - Doctors, Teachers, Employers, etc.

📁 Upload Networks Of Patients and Infection States as a CSV file.

🖥️ Visualize Infections in a Patient Networks for Analysis and Convenience.

🧪 Use Prototype of Algorithm to Find Patient Zeroes.

About Infect-ID:

The idea of Infect-ID sparked from the recent pandemic, that of course being COVID-19.

We realized the importance of locating patient zero -- Officials could isolate and quarantine likely infected and predict a spread pattern. Also, in the future, it becomes important for epidemiologists to find the first known case because it helps work out how the outbreak occurred, and gives us an idea of how to prevent further outbreaks in the future.

As high school students, we know our tool is not a perfect nor completely practical one.

However, it is a prototype that can be developed further.

This is a tool we've released in hopes it can be developed further. As such, we have released our project under an open-source license for others to continue editing and contributing to our vision.

From the creators, Jason Xie, David Wan, Vaibhav Sridhar, and George Wang

Demonstration Video Here: https://youtu.be/y6xf7RRGUx8?si=zaFGojh3RM6iwxVT