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What should be the baseline when calculating excess mortality? New approaches suggest that we have underestimated the impact of the COVID-19 pandemic and previous winter peaks

dc.contributor.authorShkolnikov, Vladimir M.en
dc.contributor.authorKlimkin, Ilyaen
dc.contributor.authorMcKee, Martinen
dc.contributor.authorJdanov, Dmitri A.en
dc.contributor.authorAlustiza-Galarza, Ainhoaen
dc.contributor.authorNémeth, Lászlóen
dc.contributor.authorTimonin, Sergey A.en
dc.contributor.authorNepomuceno, Marília R.en
dc.contributor.authorAndreev, Evgeny M.en
dc.contributor.authorLeon, David A.en
dc.date.accessioned2025-05-30T08:33:07Z
dc.date.available2025-05-30T08:33:07Z
dc.date.issued2022en
dc.description.abstractExcess mortality has been used to measure the impact of COVID-19 over time and across countries. But what baseline should be chosen? We propose two novel approaches: an alternative retrospective baseline derived from the lowest weekly death rates achieved in previous years and a within-year baseline based on the average of the 13 lowest weekly death rates within the same year. These baselines express normative levels of the lowest feasible target death rates. The excess death rates calculated from these baselines are not distorted by past mortality peaks and do not treat non-pandemic winter mortality excesses as inevitable. We obtained weekly series for 35 industrialized countries from the Human Mortality Database for 2000–2020. Observed, baseline and excess mortalities were measured by age-standardized death rates. We assessed weekly and annual excess death rates driven by the COVID-19 pandemic in 2020 and those related to seasonal respiratory infections in earlier years. There was a distinct geographic pattern with high excess death rates in Eastern Europe followed by parts of the UK, and countries of Southern and Western Europe. Some Asia-Pacific and Scandinavian countries experienced lower excess mortality. In 2020 and earlier years, the alternative retrospective and the within-year excess mortality figures were higher than estimates based on conventional metrics. While the latter were typically negative or close to zero in years without extraordinary epidemics, the alternative estimates were substantial. Cumulation of this “usual” excess over 2–3 years results in human losses comparable to those caused by COVID-19. Challenging the view that non-pandemic seasonal winter mortality is inevitable would focus attention on reducing premature mortality in many countries. As SARS-CoV-2 is unlikely to be the last respiratory pathogen with the potential to cause a pandemic, such measures would also strengthen global resilience in the face of similar threats in the future.en
dc.description.sponsorshipIK, SAT, EMA were supported by funding from the Basic Research Program at the National Research University Higher School of Economics . VMS, DAJ, and DAL were partly supported by this Program. The funder had no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript.en
dc.description.statusPeer-revieweden
dc.identifier.otherORCID:/0000-0001-6651-2023/work/166707091en
dc.identifier.scopus85132397723en
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=85132397723&partnerID=8YFLogxKen
dc.identifier.urihttps://hdl.handle.net/1885/733754803
dc.language.isoenen
dc.rightsPublisher Copyright: © 2022en
dc.sourceSSM - Population Healthen
dc.subjectCOVID-19 pandemicen
dc.subjectExcess mortalityen
dc.subjectInfluenza epidemicsen
dc.subjectSeasonalityen
dc.subjectShort-term mortality fluctuationsen
dc.subjectWeekly time seriesen
dc.titleWhat should be the baseline when calculating excess mortality? New approaches suggest that we have underestimated the impact of the COVID-19 pandemic and previous winter peaksen
dc.typeJournal articleen
dspace.entity.typePublicationen
local.contributor.affiliationShkolnikov, Vladimir M.; Max Planck Institute for Demographic Researchen
local.contributor.affiliationKlimkin, Ilya; Higher School of Economicsen
local.contributor.affiliationMcKee, Martin; London School of Hygiene and Tropical Medicineen
local.contributor.affiliationJdanov, Dmitri A.; Max Planck Institute for Demographic Researchen
local.contributor.affiliationAlustiza-Galarza, Ainhoa; Max Planck Institute for Demographic Researchen
local.contributor.affiliationNémeth, László; Max Planck Institute for Demographic Researchen
local.contributor.affiliationTimonin, Sergey A.; Laboratory of Demographic Dataen
local.contributor.affiliationNepomuceno, Marília R.; Max Planck Institute for Demographic Researchen
local.contributor.affiliationAndreev, Evgeny M.; Higher School of Economicsen
local.contributor.affiliationLeon, David A.; London School of Hygiene and Tropical Medicineen
local.identifier.citationvolume18en
local.identifier.doi10.1016/j.ssmph.2022.101118en
local.identifier.purebae027d4-42a8-49dc-a3e5-49e3621eb85den
local.identifier.urlhttps://www.scopus.com/pages/publications/85132397723en
local.type.statusPublisheden

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