This study presents a methodology for evaluating the impact of the pandemic on mortality rates in Italy. The primary objectives are to define criteria for identifying a ‘rise in mortality’, establish a robust evaluation approach, and assess pandemic repercussions using the proposed framework. To conduct a comparative analysis of mortality estimates, two classical models were employed: the Lee–Carter and the Renshaw–Haberman models. The analysis involved utilising actuarial tables and mortality models to quantify pandemic-induced excess deaths by calculating the disparity between these estimates. The proposed method aims to provide a comprehensive and clear understanding of the impact of the pandemic on mortality in Italy.
Statistical Analysis of COVID-19 Impact on Italian Mortality / Franchetti, Girolamo; Iorio, Carmela; Politano, Massimiliano. - In: MATHEMATICS. - ISSN 2227-7390. - 13:15(2025). [10.3390/math13152368]
Statistical Analysis of COVID-19 Impact on Italian Mortality
Franchetti, Girolamo;Iorio, Carmela;Politano, Massimiliano
2025
Abstract
This study presents a methodology for evaluating the impact of the pandemic on mortality rates in Italy. The primary objectives are to define criteria for identifying a ‘rise in mortality’, establish a robust evaluation approach, and assess pandemic repercussions using the proposed framework. To conduct a comparative analysis of mortality estimates, two classical models were employed: the Lee–Carter and the Renshaw–Haberman models. The analysis involved utilising actuarial tables and mortality models to quantify pandemic-induced excess deaths by calculating the disparity between these estimates. The proposed method aims to provide a comprehensive and clear understanding of the impact of the pandemic on mortality in Italy.| File | Dimensione | Formato | |
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