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A Standardized Protocol for Preference Testing to Assess Fish Welfare
Published on: February 22, 2020
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EPI-DOM framework for assessing fish welfare: external and internal indicators for tilapia
1Aquaculture Laboratory, Departamento de Veterinaria y Zootecnia, División de Ciencias de la Vida, Universidad de Guanajuato, Irapuato, Guanajuato, Mexico.
Frontiers in Veterinary Science
|April 29, 2026
Summary
The EPI-DOM framework offers a structured approach to assess and improve tilapia welfare using epidemiological methods. This guide aids in identifying critical welfare points and implementing effective management strategies.
Area of Science:
- Animal Welfare Science
- Applied Epidemiology
- Aquaculture Management
Background:
- Tilapia welfare assessment in laboratory and production systems lacks a standardized, integrated approach.
- Existing methods often fail to connect animal-based indicators with specific risk factors.
- There is a need for a replicable system to translate scientific evidence into practical welfare management.
Purpose of the Study:
- To develop and present the EPI-DOM framework for evaluating and managing tilapia welfare.
- To integrate animal-based indicators with risk factors organized into operational domains.
- To create a practical guide for evidence-based decision-making in tilapia welfare.
Main Methods:
- An integrative review (2000-2025) structured under the EPI-DOM framework.
- Classification of indicators and adverse welfare events (AWE).
- Organization of risk factors within management, environment, and interaction domains, with cross-mapping to indicators.
Main Results:
- An operational guide translating evidence into a replicable welfare assessment system.
- Domain-based risk matrices, checklists, and preventive/corrective action guidance.
- Methodological criteria for interpreting data and designing sampling schemes.
Conclusions:
- The EPI-DOM framework provides a dynamic, verifiable system for tilapia welfare improvement.
- It bridges welfare science and applied epidemiology, ensuring traceability and comparability.
- The guide supports evidence-based decision-making and the implementation of good practices in diverse settings.

