Mathematical and statistical toolkit for tracking and monitoring the 2020 outbreak of COVID-19. Current functions include exponential and logistic regression for all regions, as well as future forecasting based on minimizing cost functions.
Currently I'm writing this for researchers in Porto, but feel free to use this for future predictions. Note that the JHU dataset is updated at 6 PM MST (+/- a few minutes), but may only reflect the previous day's data.
This project is also a submission for the IB Computer Science Standard Level Internal Assessment, so theres's that.
Dependencies:
- NumPy
- Pandas
- Matplotlib
- Python 3.6 +
- Tkinter (should be included within the base Python 3.xx package)