Evidence map›Paper›PMID 42886302›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2026

The toll of voting in a pandemic? Regional elections and the spread of COVID-19 in Bavaria.

Jochen Güntner, Gerrit Stahn, Amelie Wuppermann, Felix Zwies

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Article in The European journal of health economics : HEPAC : health economics in prevention and care, 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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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jochen GüntnerDepartment of Economics, Johannes Kepler University Linz, Altenberger Straße 69, 4040, Linz, Austria.ORCID http://orcid.org/0000-0003-0726-0449
Gerrit StahnFaculty of Law, Economics and Business, Martin Luther University Halle-Wittenberg, Große Steinstraße 73, 06108, Halle(Saale), Germany.ORCID http://orcid.org/0009-0001-9113-5327
Amelie WuppermannFaculty of Law, Business & Economics, University of Bayreuth, Universitätsstraße 30, 95447, Bayreuth, Germany. amelie.wuppermann@uni-bayreuth.de.ORCID http://orcid.org/0000-0003-1131-3048
Felix ZwiesFaculty of Law, Business & Economics, University of Bayreuth, Universitätsstraße 30, 95447, Bayreuth, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates whether the regional elections held in the German state of Bavaria on March 15 of 2020 - shortly after the WHO declared COVID-19 a global pandemic - contributed to the spread of COVID-19 cases and COVID-related deaths. Constructing synthetic controls for each of Bavaria's 96 districts based on non-Bavarian German districts, we find that over a third of the increase in positive test results cannot be explained by district-level demographic, economic, health or child care characteristics, nor by the distance to Ischgl - a proxy for skiing tourism associated with the first COVID-19 wave in Germany. Within Bavaria, districts with higher voter participation witnessed a steeper increase in COVID-19 cases and deaths after the election, while controlling for alternative drivers, such as the distance to Ischgl and the number of strong-beer festivals. Our results are highly robust and suggest that an unfortunate timing of elections contributed to the spreading of an infectious disease.

Indexed as

COVID-19Municipal electionsPandemicSynthetic control method

Identifiers

PMID42886302

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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.