Evidence map›Paper›PMID 37470231›Full record

ArticleEuropean journal of public health2023

Variation in mortality burden of the COVID-19 pandemic across federal states in Germany.

Marina Kolobova, Dmitri Jdanov, Domantas Jasilionis, Vladimir M Shkolnikov, Roland Rau

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Article in European journal of public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Marina KolobovaMax Planck Institute for Demographic Research, Rostock, Germany.
Dmitri JdanovMax Planck Institute for Demographic Research, Rostock, Germany.
Domantas JasilionisMax Planck Institute for Demographic Research, Rostock, Germany.ORCID 0000-0001-9959-9292
Vladimir M ShkolnikovMax Planck Institute for Demographic Research, Rostock, Germany.
Roland RauMax Planck Institute for Demographic Research, Rostock, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntra-annual excess mortality is the most reliable measure of losses of lives due to short-term risk factors. The objectives of our study are (i) to estimate excess mortality across German states in the course of the coronavirus disease 2019 (COVID-19) pandemic years 2020 and 2021 and (ii) to identify possible regional-level determinants of spatial inequality in pandemic-related excess mortality.

methodsWe use weekly mortality data series for the calculation of weekly death rates, standardized by age for each federal state of Germany. We estimate the expected level of mortality as state-specific mortality trends and excess mortality in 2020 and 2021. We explore ecological statistical relationships between excess mortality, COVID-19 morbidity, and selected regional socioeconomic indicators using fixed-effects regression models.

resultsOur study shows that during the first pandemic year, there was South-to-North gradient in excess mortality in Germany, with excess mortality being higher in the South. Over the course of the second pandemic year 2021, this gradient changed to become an East-to-West gradient, with excess mortality being higher in the East. The results of the study show stronger effects of COVID-19 morbidity on excess mortality in East Germany. State-level indicators reflecting economic activity, employment, and capacity of intensive care units show significant correlations with excess mortality across the states.

conclusionsThe results show pronounced state-level differences in the magnitude of excess mortality during the COVID-19 pandemic in Germany. Economic activity, employment and capacity of intensive care units were the most important state-level characteristics associated with the observed spatial variations in excess mortality.

Indexed as

COVID-19MortalityFemaleGermanyHumansMaleMiddle AgedPandemicsRisk FactorsSARS-CoV-2Socioeconomic Factors

Identifiers

PMID37470231
PMCPMC10567244

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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.