Humans tend to not have a good sense of how exponential functions work, so we created a COVID-19 simulator to show how small changes can have massive effects by visualizing the effects in a realistic scenario that is exponential in nature.
What it does
Simulates the spread of COVID-19 using various parameters such as reducers (face masks, social distancing, etc.), and increasers (travel, social gatherings). It is very loosely based off of data from the pandemic in the United States.
How we built it
Challenges we ran into
Accomplishments that we're proud of
We all stepped out of our comfort zone with this project. We did not know what to expect when entering our first Hackathon, however, we learned a lot. We are also happy to provide a data visualization tool for COVID-19 to the public.
What we learned
We were able to get a better grasp on the languages and tools used. We also did comprehensive research on COVID-19 and learned a lot more about the virus. Overall, we all learned how to be better teammates in a virtual environment.
What's next for COVIDSimulator
We would like to have a more accurate visualization that reflects reality by using real world data to tweak how much each parameter affects the graph. It would also be useful to visualize multiple lines simultaneously to demonstrate the differences between different hypothetical responses to COVID19. Also, in the far future, it would be useful to completely overhaul the underlying algorithm and write some sort of actual simulation that mimics human interactions and population differences.