The socio-demographic factors of COVID-19 pandemic in the Czech Republic, Denmark and Italy

This thesis analyses the development of the COVID-19 pandemic in the Czech Republic, Denmark and Italy in the context of socio-demographic factors and their influence on the course of the pandemic. The analysis is based on traditionally used demographic indicators such as incidence rate, mortality rate or case fatality rate. The findings are subsequently used to create a microsimulation of the spread of the infection among the inhabitants of these countries. Extensive datasets on COVID-19 disease published by official institutions of the individual countries were used for the analysis. The data analysis shows that the adverse development of the pandemic in the selected countries was caused by several different factors, most likely non-compliance with protective measures in the case of the Czech Republic, insufficiently prepared immune system for the pandemic wave caused by the Omicron variant in Denmark, and rapid spread of the disease in Italy, which was not caught in time due to insufficient testing capacities. The work also suggests a possible underestimation of death statistics in Italy and Denmark and emphasizes the need for vaccination, especially for at-risk populations.