Change point analysis to quantify the impact of African government policy interventions to slow the spread of COVID-19.
The project focuses on quantifying the statistical significance of public health policies introduced by the Kenyan government to slow down the spread of the pandemic, COVID-19. Data used for the analysis is obtained from the John Hopkins University covid-19 cases database. Precisely, the number of new cases per day will be used to conduct the analysis.
The 'behind the scenes' of the model used is in this repository. The repo takes care of all the steps from data scraping to model formulation. Credits to Jonas Dehning, Michael Wibral et.al.
Find the research publication here.
scripts Python script for the jupyter notebook: kernel3.ipynb
README.md Markdown text with a brief explanation of the project and the repository structure.
kernel3.ipynb Jupyter Notebook containing the analysis and modeling done to come up with observations and conclusions.
report.pdf Project report.
requirements.txt Dependancies.