Rosanna Comoretto
Biographic Data
| ID | 10031919 |
|---|---|
| NAME | Rosanna Comoretto |
| GIVEN NAMES | Rosanna |
| FAMILY NAME | Comoretto |
| SIGNATURE | COMORETTO R |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Unmasking pandemic patterns
The findings highlight the complex nature of COVID-19's impact on mortality in Italy. They reveal the temporal phases, regional disparities, and demographic vulnerabilities that contribute to the overall mortality picture. The overdispersion component indicates more significant variability and unpredictability of mortality patterns until 2023. This highlights the intricate interplay of factors, including healthcare capacity, viral mutations, and …
Covid-19 hospitalizations and patients' age at admission
Introduction: An excess in the daily fluctuation of COVID-19 in hospital admissions could cause uncertainty and delays in the implementation of care interventions. This study aims to characterize a possible source of extravariability in the number of hospitalizations for COVID-19 by considering age at admission as a potential explanatory factor. Age at hospitalization provides a clear idea of the epidemiological impact of the disease, as the elde…
No prominent works on this page.
Covid-19 hospitalizations and patients' age at admission
Introduction: An excess in the daily fluctuation of COVID-19 in hospital admissions could cause uncertainty and delays in the implementation of care interventions. This study aims to characterize a possible source of extravariability in the number of hospitalizations for COVID-19 by considering age at admission as a potential explanatory factor. Age at hospitalization provides a clear idea of the epidemiological impact of the disease, as the elde…
Unmasking pandemic patterns
The findings highlight the complex nature of COVID-19's impact on mortality in Italy. They reveal the temporal phases, regional disparities, and demographic vulnerabilities that contribute to the overall mortality picture. The overdispersion component indicates more significant variability and unpredictability of mortality patterns until 2023. This highlights the intricate interplay of factors, including healthcare capacity, viral mutations, and …
COVID-19 and healthcare impacts (2 works) · COVID-19 epidemiological studies (2 works) · 2019-20 coronavirus outbreak (1 work) · Biostatistics (1 work) · Chronic Disease Management Strategies (1 work) · Computer Science (1 work) · Disease (1 work) · Emergency Medicine (1 work) · Epidemiology (1 work) · Health care (1 work)