{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kontopantelis E"],"funding":["Cancer Research UK"],"pagination":["100144"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8454637"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["7"],"pubmed_abstract":["<h4>Background</h4>Excess deaths during the COVID-19 pandemic compared with those expected from historical trends have been unequally distributed, both geographically and socioeconomically. Not all excess deaths have been directly related to COVID-19 infection. We investigated geographical and socioeconomic patterns in excess deaths for major groups of underlying causes during the pandemic.<h4>Methods</h4>Weekly mortality data from 27/12/2014 to 2/10/2020 for England and Wales were obtained from the Office of National Statistics. Negative binomial regressions were used to model death counts based on pre-pandemic trends for deaths caused directly by COVID-19 (and other respiratory causes) and those caused indirectly by it (cardiovascular disease or diabetes, cancers, and all other indirect "],"journal":["The Lancet regional health. Europe"],"pubmed_title":["Excess deaths from COVID-19 and other causes by region, neighbourhood deprivation level and place of death during the first 30 weeks of the pandemic in England and Wales: A retrospective registry study."],"pmcid":["PMC8454637"],"funding_grant_id":["28701"],"pubmed_authors":["Price G","Ashcroft DM","Van Spall HGC","Abel KM","Mamas MA","Doran T","Pierce M","Morciano M","Rutter MK","Martin GP","Faivre-Finn C","Kontopantelis E","Gale CP","Graham MM","Webb RT","Castro A"],"additional_accession":[]},"is_claimable":false,"name":"Excess deaths from COVID-19 and other causes by region, neighbourhood deprivation level and place of death during the first 30 weeks of the pandemic in England and Wales: A retrospective registry study.","description":"<h4>Background</h4>Excess deaths during the COVID-19 pandemic compared with those expected from historical trends have been unequally distributed, both geographically and socioeconomically. Not all excess deaths have been directly related to COVID-19 infection. We investigated geographical and socioeconomic patterns in excess deaths for major groups of underlying causes during the pandemic.<h4>Methods</h4>Weekly mortality data from 27/12/2014 to 2/10/2020 for England and Wales were obtained from the Office of National Statistics. Negative binomial regressions were used to model death counts based on pre-pandemic trends for deaths caused directly by COVID-19 (and other respiratory causes) and those caused indirectly by it (cardiovascular disease or diabetes, cancers, and all other indirect ","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Aug","modification":"2026-05-08T10:12:09.901Z","creation":"2022-02-11T11:16:26.225Z"},"accession":"S-EPMC8454637","cross_references":{"pubmed":["34557845"],"doi":["10.1016/j.lanepe.2021.100144"]}}