/HowQuicklyCanWeGetBackToThePub

An investigation into the impacts of the N501Y variant, population immunity and vaccine distribution strategies on COVID-19 spread

Primary LanguageJupyter NotebookMIT LicenseMIT

How quickly can we get back to the pub?

An investigation into the impacts of the N501Y variant, population immunity and vaccine distribution strategies on COVID-19 spread

This project was done as part of the L48 (Machine Learning and the Real World) course in the Computer Science Tripos at University of Cambridge. It extends the TTI-Simulator written by DELVE (https://github.com/rs-delve/tti-explorer/) to introduce and analyse effects of the N501Y variant, population immunity and vaccination to the R rates and mortality rate.

To run the simulator, look at: 'tti/notebooks/Preprocessing Notebook.ipynb' and 'tti/notebooks/Testing Notebook.ipynb' which contain all the required code.