Inspiration
Given that we are living in a pandemic-ridden world, we believe that it is very important for people to be able to understand the magnitude of the impact that it has over the country. Instead of being misinformed about the issue, we chose to be data-driven about the issue and create a model to predict how COVID19 will evolve in the future.
What it does
The web application displays a map for the main hotspots in the nation based on the rate of change of COVID19 cases per day, per county. The web page has an interactive feature to choose the date and subsequently displays the main hotposts in the nation.
How we built it
Challenges we ran into
The main issue with this project was determining the algorithm to use for the predictive model. Since we are not pandemic experts, it was difficult to come up with a functional form for the model that would take into account factors such as infection rate and more.
Accomplishments that we're proud of
We are very thrilled with the fact that we have both a predictive model and a visual representation of that based on counties in the US to see how COVID19 cases will change in the next month.
What we learned
- The map is mainly blank because most places are similar in terms of the rate of change or corona virus. This is not to say there are not cases in the white regions, but rather that they have been experiencing a very steady rate of increase for the number of COVID 19 cases. The counties that are displayed are the main hot spots where change is rampantly increasing.
- The Mid-West/Central region of the US seems to be most likely to increase in corona virus cases over the next month.
- Existing hotspots in the nation are not predicted to go down in number of cases since they all depict a positive rate o change.
Log in or sign up for Devpost to join the conversation.