| dc.description.abstract | It has been more than two years since the Covid-19 epidemic began in Europe, this
long-term pandemic affecting all countries on the continent. This study aims to find
the relationship between the number of new infections between countries by
analyzing the data of new infections for nearly two years, that is, whether new
infections in other countries will cause changes in new infections in their bordering
countries. To answer this question, we compared the performance of panel models and
spatial panel models to verify the correlation. To answer this question, we compare
the performance of the panel model and the spatial panel model, find the most suitable
model by comparison, and then verify the correlation. The results show that when
there is a one-week lag, the number of new infections in the focal country, the number
of new infections in neighboring countries, and the focal country's epidemic
prevention policy index will all have a positive correlation with the number of new
infections in the country this week. These results show that the spread of Covid-19
does have a spatial impact, so this impact factor should be taken into account in the
prevention and control of the epidemic. | |
