A global analysis of the effectiveness of policy responses to COVID-19
Code implementation for the analysis and experiments used in the paper "A Global Analysis of the Effectiveness of Policy Responses to COVID-19" by Kwadwo Agyapon-Ntra and Patrick McSharry (PhD)
Paper available here.
Code available in main.ipynb
For a clean run of the code, run pip install -r requirements.txt from the root of the folder in a fresh python virtual environment. The latest code was run with Python 3.10
The datasets used can be found below (you'll have to click on the Download button on each linked page) and were arranged in the same order seen below. (Links represent files, and non-links represent folders. Once downloaded, you may rename the files and refactor the pd.read_csv() string arguments to your liking):
- corruption
- education
- freedom of expression
- general
- income relief
- mobility
- stringency
- face coverings
- gatherings and events
- information
- lockdowns
- movement restrictions
- school closure
- workplace closure
- containment index
- stringency index
Your folder structure should look something like this when you are done, depending on how you name your files (and refactor the code accordingly):
