The influence of various factors on the spread of COVID-19

Introduction:

The aim of this assignment was to examine the influence of various factors on the spread of COVID-19, and to determine if any regional discrepancies existed.

The factors that we have considered are the following:

1. Government Response: Extended periods of school- and workplace closing, and international travel restrictions, have lead to a lower spread of COVID-19 cases.
2. Vaccination Rate: Higher vaccination rates result in lower reproduction rates and lower death rates.
3. Air quality: Areas with poor air quality have shown higher rates of COVID-19 cases.

Data:

For our analysis, we have used the following datasets. These can also be found in folder "Dataset":

• Dataset on COVID-19 by country. Source: https://www.kaggle.com/datasets/imdevskp/corona-virus-report?resource=download
• Dataset on Air Quality by country. Source: https://www.kaggle.com/datasets/rajkumarpandey02/worlds-most-air-polluted-countries-cities?select=World+most+polluted+countries++regions+historical+data+2018-2021.csv
• Dataset on Government Response during COVID-19 by country. Source: https://www.kaggle.com/datasets/rhfall/government-response-to-covid19-worldwide
• Dataset on Vaccination Rate during COVID-19 by country. https://www.kaggle.com/datasets/carlaoliveira/country-data-on-covid19
• Restcountries API. Source: https://restcountries.com/

Outcome:

• Our analysis was done using Python, for which the code can be found in file "factors_covid.ipynb"
• The result of our analysis was summarized in "Factors on the spread of COVID-19.pptx"
• In addition, all graphs can be found in folder "Result"

How-ro-run guide:

No additional packages have been installed. To rerun our analysis, please select "Run All" in the "factors_covid.ipynb" file.

Team members:

• Helena Fedorenko
• Xing Ying Chen
• Brecht Nys