General mobility of population is considered an important mechanism in contagion development. Here we contribute to understanding of the problem with the analysis of the effects of the general population mobility patterns on Covid-19 spread, based on openly available data provided by Google, Inc. (Global Mobility Reports) and Our World of Data (Global Covid-19 data) related to the situation in Croatia. Our machine learning-based analysis reveals several interesting insights into local customary behaviour that potentially affects the spread of disease, and identifies mobility patterns as the features with statistically significant contribution to development of epidemic indices in Republic of Croatia.

Topics
Machine learning, Coronaviruses
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