Our group decided to compare the social science dataset and the effects of COVID-19 in countries around the world. We wanted to determine
if there was any significant correlation between GDP, inflation, and government borrowing and
how countries were affected by the pandemic. After creating multiple scatter plots and regression models,
we were able to come up with the conclusion that there is no correlation between how a country reacted to
the pandemic and the cases and death rate it experienced. This means that while countries with higher
GDP per Capita may seem to have better healthcare and emergency responses, government response as well as
other factors played a much more significant role.
By the way, our team name originates from The Legend of Korra!
This graph shows percent change in GDP per capita, from 2018 to 2019. Sourced from World Economic Outlook Data.
This graph shows the mortality rate thus far in the COVID-19 pandemic (total deaths / total cases). Sourced from the European Centre for Disease Prevention and Control.
This graph shows percent change in inflation, from 2018 to 2019. Sourced from World Economic Outlook Data.
Comparing any aspect of economic health with either the mortality rate or amount of cases of coronavirus will result in a similar-looking graph. Applying a linear regression to the data, which we did in order to find correlation between the economic health of a nation and the impact of coronavirus, shows that there is very little correlation, if at all, between economic health and coronavirus impact. Additionally, there are outliers on all of these plots, which further goes to show that despite having a normal GDP, a nation could have a significantly low or high impact from coronavirus.
We trained a regression model using the inflation of average consumer prices and end of period consumer prices, general government net lending, and current account balance of each county in 2019. Using this model we correlated aspects of countries with trends in COVID-19 to predict the COVID-19 mortality rates in 2021 of different countries around the world. We found that the greatest influence on the mortality rate was the inflation of average consumer prices.
