ArticleVeterinary sciences2020
Exploring the Mental Model of Cattle Farmers in Disease Prevention and Control Practices.
Article in Veterinary sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cognitive mapping to decode farmers' mindsets in agricultural decision-making: a systematic review.Frontiers in cognition · 2026Pooled it
- Early warning model and prevention of regional financial risk integrated into legal system.PloS one · 2023Article
- Direct and indirect pathways for the spread of African swine fever and other porcine infectious diseases: An application of the mental models approach.Transboundary and emerging diseases · 2022Article
- Cattle farmer psychosocial profiles and their association with control strategies for bovine viral diarrhea.Journal of dairy science · 2022Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Farmers play an integral role in minimizing disease threats and managing ongoing diseases on their farms. Various environmental factors influence the decision-making processes of farmers. Deciphering the mental models of farmers allows us to understand the motivations and reasons behind disease prevention and control choices. This study aimed to explore the mental models of cattle farmers in implementing disease prevention and control practices. Using qualitative in-depth, semi-structured interviews, seven cattle farmers from a university's foster farm extension program were sampled. Interview transcripts were analyzed using inductive content analysis. Results revealed 23 dimensions comprising the mental model of cattle farmers. The dimensions were conceptualized under four major themes. Farmers were most influenced by perceived risk of disease, perceived effectiveness and benefits of disease prevention and control practices, experience, knowledge and emotions, subjective norms and perceived economic loss. The decision-making processes of farmers are complex and are influenced by various factors. While additional research is needed to confirm the findings using quantitative methods and larger sample sizes, insights gained from the study can be used as inputs to tailor communication and training strategies for improved disease prevention and control interventions.
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