Evidence map›Paper›PMID 32951804›Full record

ArticleAnnals of epidemiology2020

The association of voter turnout with county-level coronavirus disease 2019 occurrence early in the pandemic.

W Dana Flanders, William D Flanders, Michael Goodman

Abstract read
In one paragraph

Article in Annals of epidemiology, 2020. 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
–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

6 citing papers in PubMed.

  1. The COVID-19 pandemic's effects on voter turnout.European journal of political economy · 2022
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Predictors of Death Rate during the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2020
    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.

W Dana FlandersDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA. Electronic address: wflande@emory.edu.
William D FlandersWisconsin Institute for Law & Liberty, Milwaukee, WI.
Michael GoodmanDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe ongoing coronavirus disease 2019 (COVID-19) severely impacted both health and the economy. Absent an effective vaccine, preventive measures used, some of which are being relaxed, have included school closures, restriction of movement, and banning of large gatherings. Our goal was to estimate the association of voter turnout with county-level COVID-19 risks.

methodsWe used publicly available data on voter turnout in the March 10 primary in three states, COVID-19 confirmed cases by day and county, and county-level census data. We used zero-inflated negative binomial regression to estimate the association of voter turnout with COVID-19 incidence, adjusted for county-level population density and proportions: over age 65 years, female, Black, with college education, with high school education, poor, obese, and smokers.

resultsCOVID-19 risk was associated with voter turnout, most strongly in Michigan during the week starting 3 days postelection (risk ratio, 1.24; 95% confidence interval, 1.16-1.33). For longer periods, the association was progressively weaker (risk ratio 0.98-1.03).

conclusionsDespite increased absentee-ballot voting in the primary, our results suggest an association of voter turnout in at least one state with a detectable increase in risks associated with and perhaps due to greater exposures related to the primary.

Indexed as

Coronavirus InfectionsCOVID-19PandemicsPneumonia, ViralPoliticsHumansIncidenceLocal GovernmentPhysical DistancingResidence CharacteristicsRisk FactorsSocioeconomic FactorsCOVID-19Risk factorsSocial distancingVoting

Identifiers

PMID32951804
PMCPMC7328545

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.