Evidence map›Paper›PMID 35099995›Full record

Observational studyAnnals of internal medicine2022

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

Kaspar Staub, Radoslaw Panczak, Katarina L Matthes, Joël Floris, Claudia Berlin, Christoph Junker, Rolf Weitkunat, Svenn-Erik Mamelund, Marcel Zwahlen, Julien Riou

Abstract readObservational Study
In one paragraph

Observational study in Annals of internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
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  4. Review
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  8. Examining the Indirect Death Surveillance System of The Great East Japan Earthquake and Tsunami.International journal of environmental research and public health · 2022
    Review
  9. Article
  10. Article
  11. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Kaspar StaubInstitute of Evolutionary Medicine, University of Zurich, Zurich, Switzerland (K.S., K.L.M.).ORCID 0000-0002-3951-1807
Radoslaw PanczakInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland (R.P., C.B., M.Z., J.R.).ORCID 0000-0001-5141-683X
Katarina L MatthesInstitute of Evolutionary Medicine, University of Zurich, Zurich, Switzerland (K.S., K.L.M.).
Joël FlorisInstitute of Evolutionary Medicine and Department of History, University of Zurich, Zurich, Switzerland (J.F.).ORCID 0000-0002-8480-6495
Claudia BerlinInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland (R.P., C.B., M.Z., J.R.).ORCID 0000-0003-3505-348X
Christoph JunkerFederal Statistical Office, Neuchâtel, Switzerland (C.J., R.W.).ORCID 0000-0002-9604-503X
Rolf WeitkunatFederal Statistical Office, Neuchâtel, Switzerland (C.J., R.W.).ORCID 0000-0003-2248-9727
Svenn-Erik MamelundCentre for Research on Pandemics & Society, Oslo Metropolitan University, Oslo, Norway (S.M.).ORCID 0000-0002-3980-3818
Marcel ZwahlenInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland (R.P., C.B., M.Z., J.R.).ORCID 0000-0002-6772-6346
Julien RiouInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland (R.P., C.B., M.Z., J.R.).

Funding

Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
NIAID NIH HHS U01 AI069924
6 · The paper itself

Abstract

backgroundExcess 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.

objectiveTo 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.

designObservational study.

settingSwitzerland, Sweden, and Spain, which were militarily 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.

participantsComplete 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 multinomial 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 nonpandemic scenario and the difference in observed and expected deaths aggregated over the year.

resultsIn 2020, the number of excess deaths recorded per 100 000 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.

conclusionIn 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.

Indexed as

COVID-19PandemicsHumansMortalitySpainSwedenSwitzerland

Identifiers

PMID35099995
PMCPMC8803137

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.