The main business objective of this challenge is to quantify the statistical significance of a public health policy introduced by African governments to slow down the spread of COVID-19, i would be looking specifically at Egypt and how the different policies both Medical and Non Medical Interventions.
The data that will be used comes from the COVID-19 project by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. The python package that comes with the key code (Priesmann et al.) already contains a python class to download the relevant data from John Hopkins database.
This analysis is based on PYMC3 library and this work consist of using Bayesian Statistics and Markov Chain Monte Carlo to make predictions All the work here are based on a previous analysis done by Jonas Dehning et al, you can find the article to their research here and a link to their repository here