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.

Details

Title
Variation in excess all-cause mortality by age, sex, and province during the first wave of the COVID-19 pandemic in Italy
Author
Henry, Nathaniel J 1   VIAFID ORCID Logo  ; Elagali Ahmed 2 ; Nguyen, Michele 3   VIAFID ORCID Logo  ; Chipeta Michael Give 1   VIAFID ORCID Logo  ; Moore, Catrin E 1   VIAFID ORCID Logo 

 University of Oxford, Big Data Institute, Li Ka Shing Centre for Information Discovery, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948) 
 Perth Children’s Hospital, Telethon Kids Institute, Perth, Australia (GRID:grid.410667.2) (ISNI:0000 0004 0625 8600) 
 Nanyang Technological University, Asian School of the Environment, Singapore, Singapore (GRID:grid.59025.3b) (ISNI:0000 0001 2224 0361) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2621430498
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.