Evidence map›Paper›PMID 34226856›Full record

ArticleWorld medical & health policy2021

Death by political party: The relationship between COVID-19 deaths and political party affiliation in the United States.

Jingjing Gao, Benjamin J Radford

Open access · bronzeAbstract read
In one paragraph

Article in World medical & health policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
10.3field-weighted citation impact, top 2% of its field
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

18 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Social-Economic Backgrounds to US County-Based COVID-19 Deaths: PLS-SEM Analysis.Journal of racial and ethnic health disparities · 2024
    Article
  4. Article
  5. Public Health Policy, Political Ideology, and Public Emotion Related to COVID-19 in the U.S.International journal of environmental research and public health · 2023
    Article
  6. Observational
  7. Public Engagement with Romanian Government Social Media Accounts during the COVID-19 Pandemic.International journal of environmental research and public health · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Face coverings during the pandemic?World medical & health policy · 2021
    Article
  17. Article
  18. 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

2 authors at 1 institution in 1 country.

Jingjing GaoDepartment of Public Policy University of North Carolina at Charlotte Charlotte North Carolina USA.ORCID https://orcid.org/0000-0002-8521-2541
Benjamin J RadfordDepartment of Political Science and Public Administration University of North Carolina at Charlotte Charlotte North Carolina USA.ORCID https://orcid.org/0000-0002-8440-0655
University of North Carolina at Charlotte · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explored social factors that are associated with the US deaths caused by COVID-19 after the declaration of economic reopening on May 1, 2020 by President Donald Trump. We seek to understand how county-level support for Trump interacted with social distancing policies to impact COVID-19 death rates. Overall, controlling for several potential confounders, counties with higher levels of Trump support do not necessarily experience greater mortality rates due to COVID-19. The predicted weekly death counts per county tended to increase over time with the implementation of several key health policies. However, the difference in COVID-19 outcomes between counties with low and high levels of Trump support grew after several weeks of the policy implementation as counties with higher levels of Trump support suffered relatively higher death rates. Counties with higher levels of Trump support exhibited lower percentages of mobile staying at home and higher percentages of people working part time or full time than otherwise comparable counties with lower levels of Trump support. The relative negative performance of Trump-supporting counties is robust after controlling for these measures of policy compliance. Counties with high percentages of older (aged 65 and above) persons tended to have greater death rates, as did more populous counties in general. This study indicates that policymakers should consider the risks inherent in controlling public health crises due to divisions in political ideology and confirms that vulnerable communities are at particularly high risk in public health crises.

Indexed as

COVID‐19health policiespolitical affiliationsocial distancing activities

Identifiers

PMID34226856
PMCPMC8242603
OpenAlexW3159043654

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.