Evidence map›Paper›PMID 35229050›Full record

ArticleHealth science reports2022

Visual representations of SARS-CoV-2, emotions, and risk perception of COVID-19.

Nan Li, Amanda L Molder, Shiyu Yang

Open access · goldAbstract read
In one paragraph

Article in Health science reports, 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
0.6field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Nan LiDepartment of Life Sciences Communication University of Wisconsin-Madison College of Agricultural and Life Sciences Madison Wisconsin USA.ORCID https://orcid.org/0000-0001-5942-552X
Amanda L MolderDepartment of Life Sciences Communication University of Wisconsin-Madison College of Agricultural and Life Sciences Madison Wisconsin USA.
Shiyu YangDepartment of Life Sciences Communication University of Wisconsin-Madison College of Agricultural and Life Sciences Madison Wisconsin USA.
University of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsBefore COVID-19 was declared a global pandemic, the U.S. Centers for Disease Control and Prevention (CDC), the National Institute of Allergy and Infectious Diseases (NIAID), and many other organizations published many images of its pathogen (namely SARS-CoV-2) to raise public awareness of the disease. Despite their scientific and aesthetic values, such images may convey metaphoric meanings and cause a subsequent impact on viewers' fear and disgust. This study investigated how exposure to the SARS-CoV-2 images might shape viewers' fear, disgust, and risk perception of COVID-19.

methodsSeventy images depicting the SARS-CoV-2 were collected from the websites of CDC, NIAID, and third-party organizations in early 2020. We first showed the images to a group of 492 adults recruited from the Amazon Mechanical Turk (MTurk) and asked them to rate their levels of fear and disgust for each image. Results of this pre-test allowed us to identify images that evoked high, medium, and low levels of fear and disgust, which were then used as treatment stimuli for an online experiment with a national sample of 500 U.S. adults.

resultsExposure to the selected SARS-CoV-2 images caused different levels of disgust, but not fear, among the members of the national sample. Noticeably, the images evoking the highest level of disgust backfired among those who were least concerned about COVID and caused less fear than images evoking the lowest level of disgust. Image exposure was not associated with risk perception of the disease.

conclusionThis study found that the seemingly objective visualizations of the SARS-CoV-2 are not emotionally neutral. Scientists, agencies, and media professionals should be mindful of the potential emotional impact of science visualizations, such as when creating the iconic image for COVID-19 or other infectious diseases.

Indexed as

COVID‐19emotionsinfectious diseasespublic understandingscience visualizations

Identifiers

PMID35229050
PMCPMC8865061
OpenAlexW4205342233

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.