Evidence map›Paper›PMID 34908605›Full record

ArticleSocial science quarterly2021

The impact of COVID-19

Amy M Wolaver, John A Doces

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 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 M WolaverBucknell University Lewisburg Pennsylvania USA.ORCID https://orcid.org/0000-0002-0905-9397
John A DocesBucknell University Lewisburg Pennsylvania USA.ORCID https://orcid.org/0000-0002-4671-2885

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Behavioral responses to the COVID-19 pandemic have become highly polarized, and public health initiatives often try to use different frames to influence behavior. If the polarization of behaviors is related to differences in responses to frames, then different health messages could be targeted to different groups to influence behavior. Objective: To determine whether risk preferences and susceptibility to gain/loss frames have been affected by COVID-19 and whether they differ along partisan lines. Methods: Using repeated cross-sectional data from a nationally representative dataset in the United States replicating the disease outbreak scenario collected before and after the onset of COVID-19, we test whether responsiveness to the gain/loss frames has changed over time and whether the responsiveness varies by political affiliation. Results: The experimental results show that the risk preferences of the U.S. population is very susceptible to the framing of choices, consistent with the literature finding risk loving preferences under the loss frame and risk aversion under the gain frame. However, the experience of COVID-19 does not appear to have changed the responsiveness, nor are there significant differences between conservatives/Republicans and liberals/Democrats. Conclusion: Targeting different partisan groups with different risk-related message frames is unlikely to be effective at altering behaviors.

Identifiers

PMID34908605
PMCPMC8662243

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.