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1000 Titel
  • Erklärbarkeit der altersadjustierten Übersterblichkeit mit den COVID-19-attribuierten Sterbefällen von Januar 2020 bis Juli 2021
1000 Titelzusatz
  • Explaining the age-adjusted excess mortality with COVID-19-attributed deaths from January 2020 to July 2021
1000 Autor/in
  1. Wollschläger, Daniel |
  2. Schmidtmann, Irene |
  3. Fückel, Sebastian |
  4. Blettner, Maria |
  5. Gianicolo, Emilio |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-12-04
1000 Erschienen in
1000 Quellenangabe
  • 65(3):378-387
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00103-021-03465-z |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8643124/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background!#!Estimating COVID-19 mortality is impeded by uncertainties in cause of death coding. In contrast, age-adjusted excess all-cause mortality is a robust indicator of how the COVID-19 pandemic impacts public health. However, in addition to COVID-19 deaths, excess mortality potentially also reflects indirect negative effects of public health measures aiming to contain the pandemic.!##!Objectives!#!The study examines whether excess mortality in Germany between January 2020 and July 2021 is consistent with fatalities attributed to COVID-19 or may be partially due to indirect effects of public health measures.!##!Methods!#!Excess mortality trends for the period from January 2020 to July 2021 were checked for consistency with deaths attributed to COVID-19 in both the German federal states and districts of Rhineland-Palatinate. The expected monthly mortality rates were predicted based on data from 2015-2019, taking into account the population demographics, air temperature, seasonal influenza activity, and cyclic and long-term time trends RESULTS: COVID-19-attributed mortality was included in the 95% prediction uncertainty intervals for excess mortality in 232 of 304 (76.3%) month-state combinations and in 607 of 684 (88.7%) month-district combinations. The Spearman rank correlation between excess mortality and COVID-19-attributed mortality across federal states was 0.42 (95% confidence interval [0.31; 0.53]) and 0.21 (95% confidence interval [0.13; 0.29]) across districts.!##!Conclusions!#!The good agreement of spatiotemporal excess mortality patterns with COVID-19 attributed mortality is consistent with the assumption that indirect adverse effects from public health interventions to contain the COVID-19 pandemic did not substantially contribute to excess mortality in Germany between January 2020 and July 2021.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Public health
lokal Mortality [MeSH]
lokal Humans [MeSH]
lokal Disease surveillance
lokal Surveillance
lokal Mortalitätsrate
lokal Germany/epidemiology [MeSH]
lokal Pandemics [MeSH]
lokal Originalien und Übersichten
lokal Nicht-pharmazeutische Interventionen
lokal Mortality rate
lokal COVID-19 [MeSH]
lokal Öffentliche Gesundheit
lokal Influenza, Human/epidemiology [MeSH]
lokal Non-pharmaceutical interventions
lokal SARS-CoV-2 [MeSH]
lokal Evaluation
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/V29sbHNjaGzDpGdlciwgRGFuaWVs|https://frl.publisso.de/adhoc/uri/U2NobWlkdG1hbm4sIElyZW5l|https://frl.publisso.de/adhoc/uri/RsO8Y2tlbCwgU2ViYXN0aWFu|https://frl.publisso.de/adhoc/uri/QmxldHRuZXIsIE1hcmlh|https://frl.publisso.de/adhoc/uri/R2lhbmljb2xvLCBFbWlsaW8=
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  • DeepGreen-ID: 567650cd84944793b1e0ce93dd5497a0 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2023-05-12T10:54:54.793+0200
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1000 Zuletzt bearbeitet 2023-10-24T07:22:32.579+0200
1000 Objekt bearb. Tue Oct 24 07:22:32 CEST 2023
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