A latent class analysis of biosecurity attitudes and decision-making strategies of swine producers in the United States

The 2018 African swine fever (ASF) outbreak highlighted the importance of biosecurity in food production systems. Despite the significant economic impacts, the sociopsychological consequences on decision-making have been overlooked. Previous studies have focused on algebraic models and simulation-based models without considering the complex psychological and social factors that influence farmers' biosecurity behaviors and decision-making processes. This study aims to classify livestock producers into distinct subgroups based on their attitudes towards biosecurity. We conducted a survey presenting producers with three scenarios to assess their willingness to report suspected ASF cases, trust in government agencies, risk perception, biosecurity knowledge, willingness to purchase livestock insurance, motivation to invest in biosecurity, readiness to report suspected infections, and intention to contact a veterinarian. Using latent class analysis, we identified three distinct classes: Biosecurity Sceptics, Biosecurity Compliant, and Biosecurity Ultra-Compliant. Our results show that producer characteristics significantly influence biosecurity attitudes and class membership, with small-scale producers less likely to adopt ultra-compliant biosecurity practices. Attending at least one eradication program encouraged biosecurity compliance. This research informs the design of targeted food policy and risk communication strategies that account for attitudes of livestock producers to encourage biosecurity adoption and reduce the likelihood of Tier 1 disease incursion.

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Publication Details

Journal
Scientific Reports
Published
2024-08-05
DOI
https://doi.org/10.1038/s41598-024-67385-z
Citations
7
Primary Topic
Animal Disease Management and Epidemiology
Type
article
Field-Weighted Citation Impact
3.97

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article

A latent class analysis of biosecurity attitudes and decision-making strategies of swine producers in the United States

Julia M. Smith, Richmond Silvanus Baye, Asim Zia, Christopher Koliba et al.
7 citations
Scientific Reports
Animal Disease Management and Epidemiology
3.97
article

A latent class analysis of biosecurity attitudes and decision-making strategies of swine producers in the United States

Julia M. Smith, Richmond Silvanus Baye, Asim Zia, Christopher Koliba, Eric M. Clark, Scott C. Merrill
article en
7 citations

Abstract

The 2018 African swine fever (ASF) outbreak highlighted the importance of biosecurity in food production systems. Despite the significant economic impacts, the sociopsychological consequences on decision-making have been overlooked. Previous studies have focused on algebraic models and simulation-based models without considering the complex psychological and social factors that influence farmers' biosecurity behaviors and decision-making processes. This study aims to classify livestock producers into distinct subgroups based on their attitudes towards biosecurity. We conducted a survey presenting producers with three scenarios to assess their willingness to report suspected ASF cases, trust in government agencies, risk perception, biosecurity knowledge, willingness to purchase livestock insurance, motivation to invest in biosecurity, readiness to report suspected infections, and intention to contact a veterinarian. Using latent class analysis, we identified three distinct classes: Biosecurity Sceptics, Biosecurity Compliant, and Biosecurity Ultra-Compliant. Our results show that producer characteristics significantly influence biosecurity attitudes and class membership, with small-scale producers less likely to adopt ultra-compliant biosecurity practices. Attending at least one eradication program encouraged biosecurity compliance. This research informs the design of targeted food policy and risk communication strategies that account for attitudes of livestock producers to encourage biosecurity adoption and reduce the likelihood of Tier 1 disease incursion.

Scientific ReportsVol. 14(1)
University of Vermont (US), University of Kansas (US)
National Science Foundation, U.S. Department of Agriculture, UK Research and Innovation, National Natural Science Foundation of China, National Institutes of Health, National Institute of Food and Agriculture
Zero hunger
Openalex Percentile: Top 7%
Animal Disease Management and Epidemiology
3.97
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