Message Delivery Strategy Influences Willingness to Comply With Biosecurity.

compliance experimental game graphical message linguistic message message efficacy numeric message risk uncertainty

Journal

Frontiers in veterinary science
ISSN: 2297-1769
Titre abrégé: Front Vet Sci
Pays: Switzerland
ID NLM: 101666658

Informations de publication

Date de publication:
2021
Historique:
received: 12 02 2021
accepted: 26 05 2021
entrez: 12 7 2021
pubmed: 13 7 2021
medline: 13 7 2021
Statut: epublish

Résumé

As the Covid-19 pandemic continues worldwide, it has become increasingly clear that effective communication of disease transmission risks associated with protective behaviors is essential, and that communication tactics are not ubiquitously and homogenously understood. Analogous to Covid-19, communicable diseases in the hog industry result in millions of animal deaths and in the United States costs hundreds of millions of dollars annually. Protective behaviors such as preventative biosecurity practices are implemented to reduce these costs. Yet even with the knowledge of the importance of biosecurity, these practices are not employed consistently. The efficacy of biosecurity practices relies on consistent implementation and is influenced by a variety of behavioral factors under the umbrella of human decision-making. Using an experimental game, we collected data to quantify how different messages that described the likelihood of a disease incursion would influence willingness to follow biosecurity practices. Here we show that graphical messages combined with linguistic phrases demarking infection risk levels are more effective for ensuring compliance with biosecurity practices, as contrasted with either simple linguistic phrases or graphical messages with numeric demarcation of risk levels. All three of these delivery methods appear to be more effective than using a simple numeric value to describe probability of infection. Situationally, we saw greater than a 3-fold increase in compliance by shifting message strategy without changing the infection risk, highlighting the importance of situational awareness and context when designing messages.

Identifiants

pubmed: 34250060
doi: 10.3389/fvets.2021.667265
pmc: PMC8269999
doi:

Types de publication

Journal Article

Langues

eng

Pagination

667265

Informations de copyright

Copyright © 2021 Merrill, Trinity, Clark, Shrum, Koliba, Zia, Bucini, Sellnow, Sellnow and Smith.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Scott C Merrill (SC)

Department of Plant and Soil Science, University of Vermont, Burlington, VT, United States.
Gund Institute for Environment, University of Vermont, Burlington, VT, United States.

Luke Trinity (L)

Department of Computer Science, University of Victoria, Victoria, BC, Canada.

Eric M Clark (EM)

Department of Plant and Soil Science, University of Vermont, Burlington, VT, United States.

Trisha R Shrum (TR)

Department of Community Development and Applied Economics, University of Vermont, Burlington, VT, United States.

Christopher J Koliba (CJ)

Gund Institute for Environment, University of Vermont, Burlington, VT, United States.
Department of Community Development and Applied Economics, University of Vermont, Burlington, VT, United States.

Asim Zia (A)

Gund Institute for Environment, University of Vermont, Burlington, VT, United States.
Department of Community Development and Applied Economics, University of Vermont, Burlington, VT, United States.

Gabriela Bucini (G)

Department of Plant and Soil Science, University of Vermont, Burlington, VT, United States.

Timothy L Sellnow (TL)

Nicholson School of Communication, University of Central Florida, Orlando, FL, United States.

Deanna D Sellnow (DD)

Nicholson School of Communication, University of Central Florida, Orlando, FL, United States.

Julia M Smith (JM)

Department of Animal and Veterinary Sciences, University of Vermont, Burlington, VT, United States.

Classifications MeSH