Statistical approach and territorial analysis on the Covid-19 emergency: the case study of the municipality of Tito

This paper analyzes the impact of the Covid-19 pandemic on Tito, a small municipality in Basilicata, Italy. Descriptive and inferential statistical models were used to study the course of the pandemic and predict its future development. The paper examines the possible consequences of proximity to a Site of National Interest on the spread of infection. The linear regression model was used to analyze the above phenomena. The paper also illustrates the multiple linear regression model and how it was constructed, considering the qualitative explanatory variables and ANOVA. The models were applied to data collected in the Municipality of Tito to test the trend of infection within the municipal area, with particular attention to the variables of gender, age, area of residence and vaccination status.