Maria Dorrucci
Dados Biográficos
| ID | 7027475 |
|---|---|
| NOME | Maria Dorrucci |
| PRENOMES | Maria |
| SOBRENOME | Dorrucci |
| ASSINATURA | DORRUCCI M |
| AFILIAÇÕES | Istituto Superiore di Sanità |
| ORCID | 0000-0002-8543-6430 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2021 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2022 |
| ÍNDICE H | 0 |
Assessing Covid-19-Related Excess Mortality Using Multiple Approaches—Italy, 2020–2021
Presently, an unambiguous explanation of EM in Italy is not possible. We provide a range that we consider sound, given the high variability associated with the use of different models. However, all three models accurately represented the spatiotemporal trends of the pandemic waves in Italy
Excess Mortality in Italy During the Covid-19 Pandemic
COVID-19 dramatically influenced mortality worldwide, in Italy as well, the first European country to experience the Sars-Cov2 epidemic. Many countries reported a two-wave pattern of COVID-19 deaths; however, studies comparing the two waves are limited. The objective of the study was to compare all-cause excess mortality between the two waves that occurred during the year 2020 using nationwide data. All-cause excess mortalities were estimated usi…
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Excess Mortality in Italy During the Covid-19 Pandemic
COVID-19 dramatically influenced mortality worldwide, in Italy as well, the first European country to experience the Sars-Cov2 epidemic. Many countries reported a two-wave pattern of COVID-19 deaths; however, studies comparing the two waves are limited. The objective of the study was to compare all-cause excess mortality between the two waves that occurred during the year 2020 using nationwide data. All-cause excess mortalities were estimated usi…
Assessing Covid-19-Related Excess Mortality Using Multiple Approaches—Italy, 2020–2021
Presently, an unambiguous explanation of EM in Italy is not possible. We provide a range that we consider sound, given the high variability associated with the use of different models. However, all three models accurately represented the spatiotemporal trends of the pandemic waves in Italy
COVID-19 and healthcare impacts (2 obras) · Demography (2 obras) · Medicine (2 obras) · Population (2 obras) · Benchmark (surveying (1 obras) · Cartography (1 obras) · Climate Change and Health Impacts (1 obras) · Coronavirus disease 2019 (COVID-19 (1 obras) · Count data (1 obras) · COVID-19 Clinical Research Studies (1 obras)