Evidence map›Paper›PMID 41885971›Full record

ArticleWiener klinische Wochenschrift2026

An analysis of COVID-19 mortality regarding all Austrian political districts.

Stefanie Grötz, Martin Fieder, Harald Wilfing

Abstract read
In one paragraph

Article in Wiener klinische Wochenschrift, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Stefanie GrötzDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria. groetz.stefanie1@gmail.com.ORCID http://orcid.org/0009-0009-0104-3620
Martin FiederDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria. martin.fieder@univie.ac.at.
Harald WilfingDepartment of Evolutionary Anthropology, University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19), first identified in Wuhan in 2019, rapidly escalated into a global pandemic. Austria reported its initial cases in February 2020, resulting in millions of infections and thousands of deaths. This study investigates COVID-19 mortality across Austrian districts, analyzing factors such as age, sex, immigrant background, household size, education and vaccination status.

methodsWe analyzed data from the Austrian National Public Health Institute, comprising 4,591,739 confirmed cases and 20,123 deaths as of July 2022. We used a linear mixed model to examine whether individuals died from COVID-19. Furthermore, we created three interaction models: (i) vaccination status and consecutive month, (ii) age and consecutive month and (iii) sex and consecutive month. Additional linear models examined household size, education, and citizenship at the district level.

resultsOur findings highlight several determinants of COVID-19 mortality in Austria. Advanced age significantly increases mortality risk, while vaccination is strongly protective. Female sex is also associated with reduced mortality. District of residence influences the case fatality ratio, with notable geographic variation. Larger household sizes correlate with increased infection risk. Districts with higher proportions of residents with tertiary education exhibit lower infection and mortality ratio. Districts with a greater percentage of non-Austrian citizens have lower case fatality ratio, likely reflecting a younger population demography.

conclusionKey determinants of COVID-19 mortality include age, vaccination status, and sex. Districts with larger households experience higher infection ratios, while those with more highly educated residents have lower infection and mortality ratios. Districts with more non-Austrian citizens show lower case fatality ratios, likely due to younger populations. Further research into district-level age structures is warranted to refine these models. These findings underscore the importance of vaccination, particularly among older adults, and the need for accessible public health education to reduce infection and mortality ratio, especially in less-educated populations; however, district age structure (proportion of older individuals) substantially influences these associations.

Indexed as

COVID-19AdolescentAdultAgedAged, 80 and overAustriaChildChild, PreschoolCOVID-19 VaccinesEducational StatusFemaleHumansMaleMiddle AgedRisk FactorsSARS-CoV-2COVID-19 VaccinesCase fatality ratioCoronavirusMortality ratioPandemicSARS-CoV-2

Identifiers

PMID41885971
PMCPMC13672430

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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.