Evidence map›Paper›PMID 40069661›Full record

ArticleBMC public health2025

Does mask usage correlate with excess mortality? Findings from 24 European countries.

Daniel V Tausk, Beny Spira

Erratum issuedAbstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Risks and benefits of face masks in children.Frontiers in pediatrics · 2026
    Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Daniel V TauskDepartamento de Matemática, Universidade de São Paulo, São Paulo-SP, Brazil.
Beny SpiraDepartamento de Microbiologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo-SP, Brazil. benys@usp.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral nonpharmaceutical interventions, such as masking, were mandated or recommended during the Coronavirus disease 2019 (COVID-19) pandemic. This study's primary objective is to investigate the relationship between population-level mask usage and excess mortality across Europe.

methodsWe collected data on mask usage and other relevant variables from 24 European countries during 2020-2021, a period in which mask policies varied widely across nations, providing an ideal basis for a natural experiment. To assess the association between mask usage and relevant medical and socioeconomic data at the country level, we conducted both bivariate and multivariate regression analyses. Confounding factors were accounted for in the regression models, and numerous sensitivity tests were performed to ensure robustness.

resultsStatistically significant correlations were found between mask usage rate and age-adjusted excess mortality in both bivariate (Spearman coefficient = 0.477, p = 0.018) and multivariate (Standardized coefficient = 0.52, p = 0.0012) regressions. Likewise, vaccination rates showed negative and significant bivariate (Spearman coefficient = -0.659, p < .001) and multivariate (Standardized coefficient = -0.48, p = 0.0016) correlations with age-adjusted excess mortality.

conclusionsNo correlation was observed between mask usage rates and COVID-19 morbidity. However, significant associations were identified between mask usage rates, COVID-19 mortality, and excess deaths. Various hypotheses have been proposed to explain these associations, with thorough consideration given to potential confounders, such as socioeconomic factors and the severity of COVID-19 waves.

Indexed as

COVID-19MasksMortalityAdultEuropeFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2Socioeconomic FactorsCorrelationCOVID-19EuropeExcess mortalityMasksMultivariate regression

Identifiers

PMID40069661
PMCPMC11900040

What OpenQuestion holds

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Registered trials

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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.