Economics
Analysis of COVID-19 and its correlations at international level
This Heat Map shows the correlations between COVID-19 related variables
(x axis) and non-related variables (y axis). Correlations are measured
across different countries for which data were available
Health
Climate
Miscellaneous
Footnote 1
We use * and ** to highlight results that are individually considered statistically signficant (* denotes p < 0.05, and ** denotes p < 0.001, for the null hypothesis that there is no correlation in either direction). Please note that since we present the results for many correlations, it is highly probable that the null hypothesis is true for some of the results marked with *, as it denotes that the probability that there is no real correlation is at most 1/20, while we present far more than 20 results. The null hypothesis may also be true for one or two of the results marked with **.
Footnote 2
To avoid population becoming a confounding variable, we have normalized all variables by their population (if not already presented on a per capita basis). Otherwise, we would expect to see more cases, more deaths, etc., in countries with higher populations, and would expect to see positive correlations with any variables that themselves correlation with population.
