No excess mortality among working-age Italians during the Omicron wave of Covid-19.


Journal

La Medicina del lavoro
ISSN: 0025-7818
Titre abrégé: Med Lav
Pays: Italy
ID NLM: 0401176

Informations de publication

Date de publication:
28 Jun 2022
Historique:
received: 14 06 2022
accepted: 15 06 2022
entrez: 29 6 2022
pubmed: 30 6 2022
medline: 2 7 2022
Statut: epublish

Résumé

This study provides updated estimates of the excess deaths in Italy with a focus on the working-age population. Over-dispersed Poisson regression models, fitted on 2011-2019 mortality data, and including terms for age, calendar year and a smooth function of the week of the year, were used to estimate the expected number of deaths during the Covid-19 pandemic. The excess deaths were then obtained by the difference between observed and expected deaths and reported according to the pandemic periods defined by the predominant circulating variant of SARS-CoV-2. Around 170,700 excess deaths at all ages were estimated between March 2020 and March 2022 in Italy with most of the excess occurring during the pre-Delta and Delta period, and 2930 excess deaths (+2.5%) during the Omicron wave. The excesses among the working age population were: 10,425 deaths (+11.8%) during the pre-Delta period, 2460 (+9.4%) during the Delta wave, 283 (+2.2%) during the transition period to Delta. Mortality was lower than expected during the Omicron wave (-6.1%). Over the periods preceding the Omicron wave, Covid-19 caused around 12,800 excess deaths among individuals of working age, accounting for over 10% excess death. This excess was no longer observed during the Omicron wave.

Sections du résumé

BACKGROUND BACKGROUND
This study provides updated estimates of the excess deaths in Italy with a focus on the working-age population.
METHODS METHODS
Over-dispersed Poisson regression models, fitted on 2011-2019 mortality data, and including terms for age, calendar year and a smooth function of the week of the year, were used to estimate the expected number of deaths during the Covid-19 pandemic. The excess deaths were then obtained by the difference between observed and expected deaths and reported according to the pandemic periods defined by the predominant circulating variant of SARS-CoV-2.
RESULTS RESULTS
Around 170,700 excess deaths at all ages were estimated between March 2020 and March 2022 in Italy with most of the excess occurring during the pre-Delta and Delta period, and 2930 excess deaths (+2.5%) during the Omicron wave. The excesses among the working age population were: 10,425 deaths (+11.8%) during the pre-Delta period, 2460 (+9.4%) during the Delta wave, 283 (+2.2%) during the transition period to Delta. Mortality was lower than expected during the Omicron wave (-6.1%).
CONCLUSIONS CONCLUSIONS
Over the periods preceding the Omicron wave, Covid-19 caused around 12,800 excess deaths among individuals of working age, accounting for over 10% excess death. This excess was no longer observed during the Omicron wave.

Identifiants

pubmed: 35766642
doi: 10.23749/mdl.v113i3.13092
pmc: PMC9437653
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2022030

Références

Med Lav. 2022 Apr 26;113(2):e2022021
pubmed: 35481574
Nat Commun. 2022 Apr 12;13(1):1957
pubmed: 35413949
BMJ. 2022 Apr 6;377:e069590
pubmed: 35387772
Med Lav. 2022 Apr 26;113(2):e2022018
pubmed: 35481577
BMJ. 2021 May 19;373:n1137
pubmed: 34011491
Ann Epidemiol. 2021 Nov;63:63-67
pubmed: 34314847
Health Econ. 2021 Sep;30(10):2367-2382
pubmed: 34250694
Nat Med. 2022 Mar;28(3):583-590
pubmed: 35132265
Med Lav. 2020 Nov 17;111(6):445-448
pubmed: 33311419
Nature. 2022 Mar;603(7902):562
pubmed: 35277684
Nat Med. 2022 Jun;28(6):1303-1313
pubmed: 35606551

Auteurs

Gianfranco Alicandro (G)

a:1:{s:5:"en_US";s:32:"Istituto Nazionale di Statistica";}. gianfranco.alicandro@istat.it.

Giuseppe Remuzzi (G)

. giuseppe.remuzzi@marionegri.it.

Stefano Centanni (S)

. stefano.centanni@unimi.it.

Alberto Gerli (A)

. alberto@albertogerli.it.

Carlo La Vecchia (C)

. carlo.lavecchia@unimi.it.

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Classifications MeSH