Literature DB >> 33495860

Gender specific excess mortality in Italy during the COVID-19 pandemic accounting for age.

Emilio A L Gianicolo1,2, Antonello Russo3, Britta Büchler4, Katherine Taylor4, Andreas Stang5,6, Maria Blettner4.   

Abstract

Since the beginning of the COVID-19 pandemic, data have been accumulated to examine excess mortality in the first half of 2020. Mortality in the preceding year or years is used to calculate the expected number of deaths, which is then compared with the actual number of deaths in 2020. We calculated weekly age- and sex-specific mortality rates for 93.1% of the Italian municipalities for the years 2015-2019 and for the first 26 weeks in 2020. We assumed the mortality experience during 2015-2019 as the reference period to calculate standardised mortality ratios. Furthermore, in order to compare the mortality experience of males and females, we calculated sex- and age- specific weekly direct standardised mortality rates and differences between the observed and expected number of deaths. We observed considerable changes in the demographics in the Italian population between the years 2015 and 2020, particularly among people 60 years and older and among males. The population is aging and the proportion of elderly males has increased, which was not reflected adequately in previous estimates of excess mortality. Standardized excess mortality results show that in Italy between the 8th and 26th weeks in 2020, there were 33,035 excess deaths, which is only 643 fewer deaths than the official COVID-19 death toll for this time period. A comparative increase in the mortality rates was observed in March among both sexes, but particularly for males. Comparisons with recently published data show considerably higher excess deaths, but these data were either not covering the complete country or did not account for age and sex. Neglecting the demographic changes in a region, even over a short time span, can result in biased estimates.

Entities:  

Keywords:  COVID-19; Italy, age standardisation; Mortality; Sex differences

Mesh:

Year:  2021        PMID: 33495860      PMCID: PMC7832414          DOI: 10.1007/s10654-021-00717-9

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  5 in total

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2.  [Deaths in nine regions of Italy in February/March 2020: "Mortality Excess Loupe" for SARS-CoV-2/COVID-19-Epidemiology in Germany].

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Journal:  Gesundheitswesen       Date:  2020-04-30

3.  Temporal dynamics in total excess mortality and COVID-19 deaths in Italian cities.

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Journal:  BMC Public Health       Date:  2020-08-14       Impact factor: 3.295

4.  A model to identify individuals with a high probability of a SARS-CoV-2 infection.

Authors:  B Kowall; M Nonnemacher; B Brune; M Brinkmann; M Dudda; J Böttcher; B Schmidt; F Standl; S Stolpe; U Dittmer; K H Jöckel; A Stang
Journal:  J Infect       Date:  2020-11-25       Impact factor: 6.072

5.  Italy's first wave of the COVID-19 pandemic has ended: no excess mortality in May, 2020.

Authors:  Gianfranco Alicandro; Giuseppe Remuzzi; Carlo La Vecchia
Journal:  Lancet       Date:  2020-09-03       Impact factor: 79.321

  5 in total
  15 in total

1.  Comparison of pandemic excess mortality in 2020-2021 across different empirical calculations.

Authors:  Michael Levitt; Francesco Zonta; John P A Ioannidis
Journal:  Environ Res       Date:  2022-06-24       Impact factor: 8.431

2.  Changes in Acute Myocardial Infarction, Stroke, and Heart Failure Hospitalizations During COVID-19 Pandemic in Tuscany-An Interrupted Time Series Study.

Authors:  Sophie Y Wang; Chiara Seghieri; Milena Vainieri; Oliver Groene
Journal:  Int J Public Health       Date:  2022-06-08       Impact factor: 5.100

3.  Excess total mortality in 2021 in Italy was about one third of that observed in 2020.

Authors:  Gianfranco Alicandro; Giuseppe Remuzzi; Stefano Centanni; Alberto Gerli; Carlo La Vecchia
Journal:  Med Lav       Date:  2021-12-23       Impact factor: 1.275

4.  Association of COVID-19 mortality with COVID-19 vaccination rates in Rhineland-Palatinate (Germany) from calendar week 1 to 20 in the year 2021: a registry-based analysis.

Authors:  Daniel Wollschläger; Emilio Gianicolo; Maria Blettner; Ruben Hamann; Nils Herm-Stapelberg; Melissa Schoeps
Journal:  Eur J Epidemiol       Date:  2021-12-12       Impact factor: 8.082

5.  Sex differences in the immune response to acute COVID-19 respiratory tract infection.

Authors:  Shaohua Qi; Conelius Ngwa; Diego A Morales Scheihing; Abdullah Al Mamun; Hilda W Ahnstedt; Carson E Finger; Gabriela Delevati Colpo; Romana Sharmeen; Youngran Kim; HuiMahn A Choi; Louise D McCullough; Fudong Liu
Journal:  Biol Sex Differ       Date:  2021-12-20       Impact factor: 5.027

6.  Virological surveillance of SARS-CoV-2 in an Italian Northern area: differences in gender, age and Real Time RT PCR cycle threshold (Ct) values in three epidemic periods.

Authors:  Mostafa Mohieldin Mahgoub Ibrahim; Maria Eugenia Colucci; Licia Veronesi; Isabella Viani; Anna Odone; Mattia Pia Arena; Monia Incerti; Elisa Tamburini; Roberta Zoni; Cesira Pasquarella; Paola Affanni
Journal:  Acta Biomed       Date:  2021-10-07

7.  Deaths related to pulmonary embolism and cardiovascular events before and during the 2020 COVID-19 pandemic: An epidemiological analysis of data from an Italian high-risk area.

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Journal:  Thromb Res       Date:  2022-02-20       Impact factor: 3.944

8.  Excess Mortality in Italy During the COVID-19 Pandemic: Assessing the Differences Between the First and the Second Wave, Year 2020.

Authors:  Maria Dorrucci; Giada Minelli; Stefano Boros; Valerio Manno; Sabrina Prati; Marco Battaglini; Gianni Corsetti; Xanthi Andrianou; Flavia Riccardo; Massimo Fabiani; Maria Fenicia Vescio; Matteo Spuri; Alberto Mateo Urdiales; Del Manso Martina; Graziano Onder; Patrizio Pezzotti; Antonino Bella
Journal:  Front Public Health       Date:  2021-07-16

9.  Variation in Cause-Specific Mortality Rates in Italy during the First Wave of the COVID-19 Pandemic: A Study Based on Nationwide Data.

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10.  Excess all-cause deaths stratified by sex and age in Peru: a time series analysis during the COVID-19 pandemic.

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