Before revision:  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\%. The percentage of smokers within the population explained 2.6\% of the total variance, while population density explained 0.6\% .
After revision:  Availability of hospital beds per 100k inhabitants explained 9\% extreme poverty explained 8.8\%, hand washing facilities 5.3\%, the trained model exhibited a fit of R2 = 91\% between the actual and predicted web search effort. The top five variables for predicting web search effort were new deaths, the opening of international borders to non-Greek nationals, new cases, testing policy, and restrictions in internal movements. Web search peaked during the same weeks that the Rt was peaking although new deaths or new cases were not peaking during those dates, and Rt rarely is reported in public media. As both web search effort and Rt peaked during 1-15 August 2020, the peak of the tourist season, the implications of this are discussed .