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In this project, you will use daily time series of COVID-19 including confirmed, deaths and recovered cases to fit SIR (susceptible-infected-removed) epidemic model parameters for different countries using MCMC (Markov chain Monte Carlo), and predict the pandemic evolution. Use any method you will learn in the course to gain insight into the impact of different factors in the transmission of COVID-19.
Dataset: https://github.com/CSSEGISandData/COVID-19
Final Project Deliverable
The final project deliverable should include:
1. The project report in .pdf format.
2. The code for your implementation. (Python code)
3. If you collected any dataset(s) for your project, include it/them in your deliverable, if that
is possible. If the dataset comes with restrictions, there is no need to include it.
