On assessing excess mortality in Germany during the COVID-19 pandemicZur Berechnung der Übersterblichkeit in Deutschland während der COVID-19-Pandemie

被引:0
作者
Giacomo De Nicola
Göran Kauermann
Michael Höhle
机构
[1] Ludwig-Maximillians-Universität München,Department of Statistics
[2] University of Stockholm,Department of Mathematics
关键词
COVID-19; Excess mortality; Expected mortality; Standardized mortality rate; COVID-19; Übersterblichkeit; Erwartete Sterblichkeit; Standardisierte Mortalitätsrate;
D O I
10.1007/s11943-021-00297-w
中图分类号
学科分类号
摘要
Coronavirus disease 2019 (COVID-19) is associated with a very high number of casualties in the general population. Assessing the exact magnitude of this number is a non-trivial problem, as relying only on officially reported COVID-19 associated fatalities runs the risk of incurring in several kinds of biases. One of the ways to approach the issue is to compare overall mortality during the pandemic with expected mortality computed using the observed mortality figures of previous years. In this paper, we build on existing methodology and propose two ways to compute expected as well as excess mortality, namely at the weekly and at the yearly level. Particular focus is put on the role of age, which plays a central part in both COVID-19-associated and overall mortality. We illustrate our methods by making use of age-stratified mortality data from the years 2016 to 2020 in Germany to compute age group-specific excess mortality during the COVID-19 pandemic in 2020.
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页码:5 / 20
页数:15
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[1]  
Buttler G(2003)Steigende Lebenserwartung – was verspricht die Demographie? Z Gerontol Geriat 36 90-94
[2]  
Crimmins EM(2019)Aging populations, mortality, and life expectancy Annu Rev Sociol 45 69-89
[3]  
Zhang YS(2002)Die langfristige Entwicklung der Sterblichkeit in Deutschland Z Gerontol Geriat 35 400-405
[4]  
Dinkel RH(2020)Demographic science aids in understanding the spread and fatality rates of COVID-19 Proc Natl Acad Sci 117 9696-9698
[5]  
Dowd JB(1859)On the construction of life-tables, illustrated by a new life-table of the healthy districts of England Philos Trans R Soc Lond 149 837-878
[6]  
Andriano L(1983)A comparison of two methods for calculating expected mortality Statist Med 2 381-386
[7]  
Brazel DM(2002)Updating the accounts: global mortality of the 1918–1920 “Spanish” influenza pandemic Bull Hist Med 76 105-115
[8]  
Rotondi V(2016)The aging population: demographics and the biology of aging Periodontol 2000 72 13-18
[9]  
Block P(1987)The method of expected number of deaths, 1786–1886–1986 Int Stat Rev 55 1-20
[10]  
Ding X(2014)Standardization and control for confounding in observational studies: a historical perspective Stat Sci 29 529-558