Excess mortality in the context of the COVID-19 pandemic in Germany Methods, data, patterns

被引:0
作者
Wollschlaeger, Daniel [1 ]
Fueckel, Sebastian [2 ]
Blettner, Maria [1 ]
Gianicolo, Emilio [1 ,3 ]
机构
[1] Univ Med Johannes Gutenberg Univ Mainz, Inst Med Biometrie Epidemiol & Informat IMBEI, Langenbeckstr 1, D-55131 Mainz, Germany
[2] Stat Landesamt Rheinland Pfalz, D-56130 Bad Ems, Germany
[3] CNR, IFC, Italian Natl Res Council, Inst Clin Physiol, Lecce, Italy
来源
KARDIOLOGIE | 2024年 / 18卷 / 02期
关键词
Epidemiology; Cause of death; Model; Estimation method; IMPACT;
D O I
10.1007/s12181-024-00666-z
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
International comparisons of the disease burden of the coronavirus disease 2019 (COVID-19) pandemic often used excess mortality as an important criterion for assessing the effectiveness of interventional measures. For Germany there were strong discrepancies between the excess mortality estimates from various studies. As the estimates were based on different models and data sources, a detailed analysis of the methodology used is necessary. This study used different methods to estimate excess mortality in Germany from January 2020 to October 2023. The aim was to identify temporal and spatial patterns of excess mortality and to determine the effects of different methodological approaches. In the reference period 2011-2019, a regression model for the mortality rates of the Federal States was fitted, which provided the basis to calculate expected monthly deaths in the index period 2020-2023. The model took into account the population structure, temperature, influenza activity and socioeconomic deprivation. The excess mortality as the difference between observed and expected deaths was compared with the deaths attributed to COVID-19 in the index period. As a simple alternative model the excess mortality in the index period was estimated only on the basis of sex-specific and age-specific median mortality rates per calendar month in the reference period. Excess mortality and deaths attributed to COVID-19 showed clear temporal and spatial patterns. From Autumn 2021 onwards the number of deaths attributed to COVID-19 was lower than the excess mortality. Saxony, Saxony-Anhalt and Thuringia had the highest excess mortality. The simplified excess mortality estimates sometimes led to widely differing results. Temporal and spatial patterns indicate that discrepancies between excess mortality and deaths attributed to COVID-19 are due to underreporting of COVID-19 mortality. If strong influences on mortality are not taken into account, this leads to distorted estimates of excess mortality.
引用
收藏
页码:101 / 108
页数:8
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  • [1] Beaney T., Clarke J.M., Jain V., Golestaneh A.K., Lyons G., Salman D., Et al., Excess mortality: the gold standard in measuring the impact of COVID-19 worldwide?, J R Soc Med, 113, pp. 329-334, (2020)
  • [2] Kowall B., Standl F., Oesterling F., Brune B., Brinkmann M., Dudda M., Et al., Excess mortality due to Covid-19? A comparison of total mortality in 2020 with total mortality in 2016 to 2019 in Germany, Sweden and Spain, PLoS ONE, 16, (2021)
  • [3] Msemburi W., Karlinsky A., Knutson V., Aleshin-Guendel S., Chatterji S., Wakefield J., The WHO estimates of excess mortality associated with the COVID-19 pandemics, Nature, 613, pp. 130-137, (2023)
  • [4] Stang A., Standl F., Kowall B., Brune B., Bottcher J., Brinkmann M., Et al., Excess mortality due to COVID-19 in Germany, J Infect, 81, pp. 797-801, (2020)
  • [5] Kowall B., Stang A., Estimates of excess mortality during the COVID-19 pandemic strongly depend on subjective methodological choices, Herz, 48, pp. 180-183, (2023)
  • [6] Levitt M., Zonta F., Ioannidis J., Comparison of pandemic excess mortality in 2020–2021 across different empirical calculations, Environ Res, 213, (2022)
  • [7] Levitt M., Zonta F., Ioannidis J., Excess deaths estimates from multiverse analysis in 2009–2021, Eur J Epidemiol, 38, pp. 1129-1139, (2023)
  • [8] Van Noorden R., Major study errs on COVID deaths, Nature, 606, pp. 242-244, (2022)
  • [9] Ioannidis J., Zonta F., Levitt M., Flaws and uncertainties in pandemic global excess death calculations, Eur J Clin Invest, 53, (2023)
  • [10] Wollschlager D., Fuckel S., Gianicolo E., Blettner M., Erklärbarkeit der altersadjustierten Übersterblichkeit mit den COVID-19-attribuierten Sterbefällen von Januar 2020 bis Juli 2021, Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz, 65, pp. 378-387, (2022)