Statistical Analysis of COVID-19 Impact on Italian Mortality
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 con...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/15/2368 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849405984277004288 |
|---|---|
| author | Girolamo Franchetti Carmela Iorio Massimiliano Politano |
| author_facet | Girolamo Franchetti Carmela Iorio Massimiliano Politano |
| author_sort | Girolamo Franchetti |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-9f3e275a8b5b41498e67ed4b933469ee |
| institution | Kabale University |
| issn | 2227-7390 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj-art-9f3e275a8b5b41498e67ed4b933469ee2025-08-20T03:36:31ZengMDPI AGMathematics2227-73902025-07-011315236810.3390/math13152368Statistical Analysis of COVID-19 Impact on Italian MortalityGirolamo Franchetti0Carmela Iorio1Massimiliano Politano2Department of Economics and Statistics, University of Naples “Federico II”, 80126 Naples, ItalyDepartment of Economics and Statistics, University of Naples “Federico II”, 80126 Naples, ItalyDepartment of Economics and Statistics, University of Naples “Federico II”, 80126 Naples, ItalyThis 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.https://www.mdpi.com/2227-7390/13/15/2368actuarial tablesCOVID-19excess mortality |
| spellingShingle | Girolamo Franchetti Carmela Iorio Massimiliano Politano Statistical Analysis of COVID-19 Impact on Italian Mortality Mathematics actuarial tables COVID-19 excess mortality |
| title | Statistical Analysis of COVID-19 Impact on Italian Mortality |
| title_full | Statistical Analysis of COVID-19 Impact on Italian Mortality |
| title_fullStr | Statistical Analysis of COVID-19 Impact on Italian Mortality |
| title_full_unstemmed | Statistical Analysis of COVID-19 Impact on Italian Mortality |
| title_short | Statistical Analysis of COVID-19 Impact on Italian Mortality |
| title_sort | statistical analysis of covid 19 impact on italian mortality |
| topic | actuarial tables COVID-19 excess mortality |
| url | https://www.mdpi.com/2227-7390/13/15/2368 |
| work_keys_str_mv | AT girolamofranchetti statisticalanalysisofcovid19impactonitalianmortality AT carmelaiorio statisticalanalysisofcovid19impactonitalianmortality AT massimilianopolitano statisticalanalysisofcovid19impactonitalianmortality |