Evidence map›Paper›PMID 33153071›Full record

ArticleInternational journal of environmental research and public health2020

Containing COVID-19 by Matching Messages on Social Distancing to Emergent Mindsets-The Case of North America.

Nick Bellissimo, Gillie Gabay, Attila Gere, Michaela Kucab, Howard Moskowitz

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Nick BellissimoSchool of Nutrition, Ryerson University, Toronto, ON M5B-2K3, Canada.
Gillie GabaySchool of Behavioral Sciences and Psychology, College of Management Academic Studies, Rishon LeZion 91750, Israel.
Attila GereDepartment of Postharvest and Sensory Evaluation, Institute of Food Technology, Faculty of Food Sciences, Szent Istvan University, H-1118 Budapest, Hungary.ORCID 0000-0003-3075-1561
Michaela KucabSchool of Nutrition, Ryerson University, Toronto, ON M5B-2K3, Canada.
Howard MoskowitzDepartment of Postharvest and Sensory Evaluation, Institute of Food Technology, Faculty of Food Sciences, Szent Istvan University, H-1118 Budapest, Hungary.

Funding

Ryerson University n/a
6 · The paper itself

Abstract

Public compliance with social distancing is key to containing COVID-19, yet there is a lack of knowledge on which communication 'messages' drive compliance. Respondents (224 Canadians and Americans) rated combinations of messages about compliance, systematically varied by an experimental design. Independent variables were perceived risk; the agent communicating the policy; specific social distancing practices; and methods to enforce compliance. Response patterns to each message suggest three mindset segments in each country reflecting how a person thinks. Two mindsets, the same in Canada and the US, were 'tell me exactly what to do,' and 'pandemic onlookers.' The third was 'bow to authority' in Canada, and 'tell me how' in the US. Each mindset showed different messages strongly driving compliance. To effectively use messaging about compliance, policy makers may assign any person or group in the population to the appropriate mindset segment by using a Personal Viewpoint Identifier that we developed.

Indexed as

Social IsolationAdultAgedBetacoronavirusCanadaCommunicationCoronavirus InfectionsCOVID-19FemaleHumansMaleMiddle AgedNorth AmericaPandemicsPatient CompliancePneumonia, ViralcommunicationcomplianceCOVID-19health policymessagessocial distancing

Identifiers

PMID33153071
PMCPMC7662322

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.