{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Henry NJ"],"funding":["Bill and Melinda Gates Foundation (Bill and Melinda Gates Foundation)","Bill and Melinda Gates Foundation","Wellcome Trust"],"pagination":["1077"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8776797"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(1)"],"pubmed_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. "],"journal":["Scientific reports"],"pubmed_title":["Variation in excess all-cause mortality by age, sex, and province during the first wave of the COVID-19 pandemic in Italy."],"pmcid":["PMC8776797"],"funding_grant_id":["203141/Z/16/Z","OPP1152978","221579/Z/20/Z","OPP1176062","209142/Z/17/Z"],"pubmed_authors":["Chipeta MG","Elagali A","Henry NJ","Nguyen M","Moore CE"],"additional_accession":[]},"is_claimable":false,"name":"Variation in excess all-cause mortality by age, sex, and province during the first wave of the COVID-19 pandemic in Italy.","description":"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. ","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Jan","modification":"2026-03-16T15:23:06.913Z","creation":"2025-05-29T16:06:55.68Z"},"accession":"S-EPMC8776797","cross_references":{"pubmed":["35058508"],"doi":["10.1038/s41598-022-04993-7"]}}