Before, During, and After the First Wave of COVID-19: Mortality Analyses Reveal Relevant Trends in Germany and its States until June 2020
- PMID: 34496443
- DOI: 10.1055/a-1531-5507
Before, During, and After the First Wave of COVID-19: Mortality Analyses Reveal Relevant Trends in Germany and its States until June 2020
Abstract
Objective: Well-established mortality ratio methodology can contribute to a fuller picture of the SARS-CoV-2/COVID-19 burden of disease by revealing trends and informing mitigation strategies. This work examines respective data from Germany by way of example.
Methods: Using monthly and weekly all-cause mortality data from January 2016 to June 2020 (published by the German Federal Statistical Institute) for all ages,<65 years and≥65 years, and specified for Germany's federal states, we explored mortality as sequela of COVID-19. We analysed standardized mortality ratios (SMRs) comparing 2020 with 2016-2019 as reference years with a focus on trend detection.
Results: In Germany as a whole, elevated mortality in April (most pronounced for Bavaria) declined in May. The states of Hamburg and Bremen had increased SMRs in all months under study. In Mecklenburg-Western Pomerania, decreased SMRs in January turned monotonically to increased SMRs by June. Irrespective of age group, this trend was pronounced and significant.
Conclusions: Increased SMRs in Hamburg and Bremen must be interpreted with caution because of potential upward distortions due to a "catchment bias". A pronounced excess mortality in April across Germany was confirmed and a hitherto undetected trend of increasing SMRs for Mecklenburg-Western Pomerania was revealed. To meet the pandemic challenge and to benefit from research based on data collected in standardized ways, national authorities should regularly conduct SMR analyses. For independent analyses, national authorities should also expedite publishing raw mortality and population data, including detailed information on age, sex, and cause of death, in the public domain.
Objective: Well-established mortality ratio methodology can contribute to a fuller picture of the SARS-CoV-2/COVID-19 burden of disease by revealing trends and informing mitigation strategies. This work examines respective data from Germany by way of example.
Methods: Using monthly and weekly all-cause mortality data from January 2016 to June 2020 (published by the German Federal Statistical Institute) for all ages,<65 years and≥65 years, and specified for Germany’s federal states, we explored mortality as sequela of COVID-19. We analysed standardized mortality ratios (SMRs) comparing 2020 with 2016–2019 as reference years with a focus on trend detection.
Results: In Germany as a whole, elevated mortality in April (most pronounced for Bavaria) declined in May. The states of Hamburg and Bremen had increased SMRs in all months under study. In Mecklenburg-Western Pomerania, decreased SMRs in January turned monotonically to increased SMRs by June. Irrespective of age group, this trend was pronounced and significant.
Conclusions: Increased SMRs in Hamburg and Bremen must be interpreted with caution because of potential upward distortions due to a “catchment bias”. A pronounced excess mortality in April across Germany was confirmed and a hitherto undetected trend of increasing SMRs for Mecklenburg-Western Pomerania was revealed. To meet the pandemic challenge and to benefit from research based on data collected in standardized ways, national authorities should regularly conduct SMR analyses. For independent analyses, national authorities should also expedite publishing raw mortality and population data, including detailed information on age, sex, and cause of death, in the public domain.
Thieme. All rights reserved.
Conflict of interest statement
Conflict of Interest The authors declare that they have no conflict of interest.
Similar articles
-
COVID-19: Heterogeneous Excess Mortality and "Burden of Disease" in Germany and Italy and Their States and Regions, January-June 2020.Front Public Health. 2021 May 7;9:663259. doi: 10.3389/fpubh.2021.663259. eCollection 2021. Front Public Health. 2021. PMID: 34026717 Free PMC article.
-
[Deaths in nine regions of Italy in February/March 2020: "Mortality Excess Loupe" for SARS-CoV-2/COVID-19-Epidemiology in Germany].Gesundheitswesen. 2020 May;82(5):400-406. doi: 10.1055/a-1160-5859. Epub 2020 Apr 30. Gesundheitswesen. 2020. PMID: 32356298 Free PMC article. German.
-
Area Deprivation and COVID-19 Incidence and Mortality in Bavaria, Germany: A Bayesian Geographical Analysis.Front Public Health. 2022 Jul 15;10:927658. doi: 10.3389/fpubh.2022.927658. eCollection 2022. Front Public Health. 2022. PMID: 35910894 Free PMC article.
-
[Factors Influencing Results of Mortality Measurement in the Corona Pandemic: Analyses of Mortality in Germany in 2020].Gesundheitswesen. 2023 Jan;85(1):10-14. doi: 10.1055/a-1851-4391. Epub 2022 Jun 29. Gesundheitswesen. 2023. PMID: 35767991 German.
-
[Late Breaking Session Pathology and COVID-19 Report].Pathologe. 2020 Dec;41(Suppl 2):96-98. doi: 10.1007/s00292-020-00882-w. Pathologe. 2020. PMID: 33306140 Free PMC article. Review. German.
Cited by
-
In Reply.Dtsch Arztebl Int. 2023 Jan 20;120(3):40. doi: 10.3238/arztebl.m2022.0349. Dtsch Arztebl Int. 2023. PMID: 36949644 Free PMC article. No abstract available.
-
Age and sex differences in cause-specific excess mortality and years of life lost associated with COVID-19 infection in the Swedish population.Eur J Public Health. 2023 Oct 10;33(5):916-922. doi: 10.1093/eurpub/ckad086. Eur J Public Health. 2023. PMID: 37263601 Free PMC article.
-
Increased Mortality in Germany and in the Individual German States During the SARS-CoV-2/COVID-19 Pandemic in 2020 and 2021.Dtsch Arztebl Int. 2022 Aug 22;119(33-34):560-561. doi: 10.3238/arztebl.m2022.0208. Dtsch Arztebl Int. 2022. PMID: 36422870 Free PMC article. No abstract available.
-
Excess mortality during the SARS-CoV-2 pandemic in the City of Frankfurt/Main, Germany, in 2020 and 2021, adjusted for age trends and pandemic phases.GMS Hyg Infect Control. 2023 Apr 28;18:Doc08. doi: 10.3205/dgkh000434. eCollection 2023. GMS Hyg Infect Control. 2023. PMID: 37261058 Free PMC article.
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous