Evidence map›Paper›PMID 35516459›Full record

ArticleAmerican politics research2022

Whistling Through the COVID-19 Pandemic: Optimism Bias and Political Beliefs in the United States.

Amy Wolaver, John Doces

Abstract read
In one paragraph

Article in American politics research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The impact of COVID-19Social science quarterly · 2021
    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.

Amy WolaverDepartment of Economics, Bucknell University, Lewisburg, PA, USA.ORCID https://orcid.org/0000-0002-0905-9397
John DocesDepartment of Political Science, Bucknell University, Lewisburg, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Utilizing a nationally representative survey of Americans from December 2020, we consider the degree to which COVID-19 risk perceptions are related to political factors. We examine the likelihood that one believes they will be infected with COVID-19, the likelihood that a peer will be infected, and the difference between the individual and peer perceived risks, known as optimism bias, and compare these perceptions across partisan characteristics. Results show that Trump voting category is the most important contributor to perceived COVID-19 risks. We find similar partisan differences as prior research, note that these differences persisted through the end of 2020, despite the post-Thanksgiving surge with high and growing rates of COVID in all regions of the United States. Contrary to prior expectations, partisanship does not strongly predict the level of optimism bias, as both assessed personal and general health risks track closely with one another by both political party and ideology.

Indexed as

COVID-19optimism biaspartisanshiprisk perception

Identifiers

PMID35516459
PMCPMC8814613

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.