Evidence map›Paper›PMID 34908610›Full record

ArticleSocial science quarterly2021

Voting in a global pandemic: Assessing dueling influences of Covid-19 on turnout.

Sara M Constantino, Alicia D Cooperman, Thiago M Q Moreira

Abstract read
In one paragraph

Article in Social science quarterly, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Personal hardship narrows the partisan gap in COVID-19 and climate change responses.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  2. Article
  3. Article
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

3 authors.

Sara M ConstantinoSchool of Public and International Affairs Princeton University Princeton NJ United States of America.ORCID https://orcid.org/0000-0001-5533-5885
Alicia D CoopermanDepartment of Political Science Texas A&M University College Station TX United States of America.ORCID https://orcid.org/0000-0002-1652-4488
Thiago M Q MoreiraDepartment of Political Science Texas A&M University College Station TX United States of America.ORCID https://orcid.org/0000-0002-3891-572X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe investigate the impact of a global health crisis on political behavior. Specifically, we assess the impact of Covid-19 incidence rates, and the impact of temporal and spatial proximity to the crisis, on voter turnout in the 2020 Brazilian municipal elections.

methodsWe use Ordinary Least Squares and Spatial Durbin Error models to evaluate sub-national variation in municipal-level Covid-19 incidence and voter turnout. We include controls for political, economic, health, and state context.

resultsCeteris paribus, increasing deaths in the month leading up to the election from 0.01 to 1 per 1000 people is associated with a 5 percentage point decrease in turnout; higher cases and deaths earlier in the pandemic are generally associated with higher turnout. Covid-19 incidence rates in nearby municipalities affect local turnout in the same directions.

conclusionHigher Covid-19 incidence near the time of the election decreases voter turnout, while incidence farther from the election increases voter turnout.

Identifiers

PMID34908610
PMCPMC8661689

What Socratic holds

Textmetadata
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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 Socratic graph.