Before revision:  Sequentially, hierarchical variance partitioning of the optimal variables was performed in order to quantify the independent contribution of each variable in the total variance of new Covid-19 cases per million . Results indicated that from the variables available new tests per thousand explained the vast majority of the total variance in new cases(51.6\%) followed by the governmental stringency index (15.2\%). Availability of hospital beds per 100k inhabitants explained 9\% extreme poverty explained 8.8\%, hand washing facilities 5.3\%, the fraction of the population aged 65 or older explained 3.9\%, and other disease prevalence (cardiovascular diseases plus diabetes) explained 2.9\%.
After revision:  Sequentially, hierarchical variance partitioning of the optimal variables was performed in order to quantify the independent contribution of each variable in the total variance of new Covid-19 cases per million . Results indicated that the fraction of the population aged 65 or older explained 3.9\%, and other disease prevalence (cardiovascular diseases plus diabetes) explained 2.9\%.