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Variation in excess all-cause mortality by age, sex, and province during the first wave of the COVID-19 pandemic in Italy.

Henry, NJ; Elagali, A; Nguyen, M; Chipeta, MG; Moore, CE (2022) Variation in excess all-cause mortality by age, sex, and province during the first wave of the COVID-19 pandemic in Italy. Sci Rep, 12 (1). p. 1077. ISSN 2045-2322 https://doi.org/10.1038/s41598-022-04993-7
SGUL Authors: Moore, Catrin Elisabeth

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Abstract

Although previous evidence suggests that the infection fatality rate from COVID-19 varies by age and sex, and that transmission intensity varies geographically within countries, no study has yet explored the age-sex-space distribution of excess mortality associated with the COVID pandemic. By applying the principles of small-area estimation to existing model formulations for excess mortality, this study develops a novel method for assessing excess mortality across small populations and assesses the pattern of COVID excess mortality by province, year, week, age group, and sex in Italy from March through May 2020. We estimate that 53,200 excess deaths occurred across Italy during this time period, compared to just 35,500 deaths where COVID-19 was registered as the underlying cause of death. Out of the total excess mortality burden, 97% of excess deaths occurred among adults over age 60, and 68% of excess deaths were concentrated among adults over age 80. The burden of excess mortality was unevenly distributed across the country, with just three of Italy's 107 provinces accounting for 32% of all excess mortality. This method for estimating excess mortality can be adapted to other countries where COVID-19 diagnostic capacity is still insufficient, and could be incorporated into public health rapid response systems.

Item Type: Article
Additional Information: Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. © The Author(s) 2022
Keywords: Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, COVID-19, Child, Child, Preschool, Female, Humans, Infant, Infant, Newborn, Italy, Male, Middle Aged, Mortality, Pandemics, SARS-CoV-2, Sex Factors, Humans, Mortality, Age Factors, Sex Factors, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, Child, Child, Preschool, Infant, Infant, Newborn, Italy, Female, Male, Pandemics, COVID-19, SARS-CoV-2
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: Sci Rep
ISSN: 2045-2322
Language: eng
Dates:
DateEvent
20 January 2022Published
3 January 2022Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
OPP1152978Bill and Melinda Gates Foundationhttp://dx.doi.org/10.13039/100000865
OPP1176062Bill and Melinda Gates Foundationhttp://dx.doi.org/10.13039/100000865
209142/Z/17/ZWellcome Trusthttp://dx.doi.org/10.13039/100004440
221579/Z/20/ZWellcome Trusthttp://dx.doi.org/10.13039/100004440
203141/Z/16/ZWellcome Trusthttp://dx.doi.org/10.13039/100004440
PubMed ID: 35058508
Web of Science ID: WOS:000747772000008
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/114448
Publisher's version: https://doi.org/10.1038/s41598-022-04993-7

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