Historically High Excess Mortality During the COVID-19 Pandemic in Switzerland, Sweden, and Spain

被引:20
作者
Staub, Kaspar [1 ]
Panczak, Radoslaw [2 ]
Matthes, Katarina L. [1 ]
Floris, Joel [1 ,3 ]
Berlin, Claudia [2 ]
Junker, Christoph [4 ]
Weitkunat, Rolf [4 ]
Mamelund, Svenn-Erik [5 ]
Zwahlen, Marcel [2 ]
Riou, Julien [2 ]
机构
[1] Univ Zurich, Inst Evolutionary Med, Winterthurerstr 190, CH-8057 Zurich, Switzerland
[2] Univ Bern, Inst Social & Prevent Med, Bern, Switzerland
[3] Univ Zurich, Dept Hist, Zurich, Switzerland
[4] Fed Stat Off, Neuchatel, Switzerland
[5] Oslo Metropolitan Univ, Ctr Res Pandem & Soc, Oslo, Norway
基金
瑞士国家科学基金会;
关键词
UNITED-STATES; INFLUENZA; PATTERNS; TRANSMISSIBILITY; EPIDEMICS; IMPACT; AGE;
D O I
10.7326/M21-3824
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Excess mortality quantifies the overall mortality impact of a pandemic. Mortality data have been accessible for many countries in recent decades, but few continuous data have been available for longer periods. Objective: To assess the historical dimension of the COVID-19 pandemic in 2020 for 3 countries with reliable death count data over an uninterrupted span of more than 100 years. Design: Observational study. Setting: Switzerland, Sweden, and Spain, which were milita-rily neutral and not involved in combat during either world war and have not been affected by significant changes in their territory since the end of the 19th century. Participants: Complete populations of these 3 countries. Measurements: Continuous series of recorded deaths (from all causes) by month from the earliest available year (1877 for Switzerland, 1851 for Sweden, and 1908 for Spain) were jointly modeled with annual age group-specific death and total population counts using negative binomial and multino-mial models, which accounted for temporal trends and seasonal variability of prepandemic years. The aim was to estimate the expected number of deaths in a pandemic year for a nonpan-demic scenario and the difference in observed and expected deaths aggregated over the year. Results: In 2020, the number of excess deaths recorded per 100000 persons was 100 (95% credible interval [CrI], 60 to 135) for Switzerland, 75 (CrI, 40 to 105) for Sweden, and 155 (CrI, 110 to 195) for Spain. In 1918, excess mortality was 6 to 7 times higher. In all 3 countries, the peaks of monthly excess mortality in 2020 were greater than most monthly excess mortality since 1918, including many peaks due to seasonal influenza and heat waves during that period. Limitation: Historical vital statistics might be affected by minor completeness issues before the beginning of the 20th century. Conclusion: In 2020, the COVID-19 pandemic led to the second-largest infection-related mortality disaster in Switzerland, Sweden, and Spain since the beginning of the 20th century. Primary Funding Source: Foundation for Research in Science and the Humanities at the University of Zurich, Swiss National Science Foundation, and National Institute of Allergy and Infectious Diseases.
引用
收藏
页码:523 / +
页数:11
相关论文
共 69 条
  • [1] [Anonymous], 1995, FUENTES INFORM DEMOG
  • [2] Mortality burden of the 1918-1919 influenza pandemic in Europe
    Ansart, Severine
    Pelat, Camille
    Boelle, Pierre-Yves
    Carrat, Fabrice
    Flahault, Antoine
    Valleron, Alain-Jacques
    [J]. INFLUENZA AND OTHER RESPIRATORY VIRUSES, 2009, 3 (03) : 99 - 106
  • [3] UK deaths in 2020: how do they compare with previous years?
    Appleby, John
    [J]. BMJ-BRITISH MEDICAL JOURNAL, 2021, 373
  • [4] Bengtsson T, 1994, Ann Demogr Hist (Paris), P23
  • [5] Count the cost of disability caused by COVID-19
    Briggs, Andrew
    Vassall, Anna
    [J]. NATURE, 2021, 593 (7860) : 502 - 505
  • [6] Brinkhof MWG, 2006, SWISS MED WKLY, V136, P302
  • [7] Brussow H., MICROB BIOTECHNOL, V2021, P1860
  • [8] Buchholz U, 2016, BUNDESGESUNDHEITSBLA, V59, P523, DOI 10.1007/s00103-016-2324-9
  • [9] Calot G, 1998, DEUX SIECLES HIST SU
  • [10] Stan: A Probabilistic Programming Language
    Carpenter, Bob
    Gelman, Andrew
    Hoffman, Matthew D.
    Lee, Daniel
    Goodrich, Ben
    Betancourt, Michael
    Brubaker, Marcus A.
    Guo, Jiqiang
    Li, Peter
    Riddell, Allen
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2017, 76 (01): : 1 - 29