Predictive vulnerability scale in the One Health Approach
Keywords:
ecosystem, indicators, prediction, scale, vulnerabilityAbstract
Introduction: The One Health approach addresses complex and interconnected challenges affecting public health globally, integrating human, animal, and environmental health.
Objective: To develop a predictive vulnerability scale within the One Health framework.
Methods: Technological innovation research with a mixed-methods approach. The scale construction was based on the participation of 30 national experts selected through the Delphi technique with a competence coefficient > 0.8. An 11-item ordinal Likert-type scale was designed and applied in a pilot test in two local health clinics.
Results: The scale showed a high item-total correlation and was structured into three main dimensions: ecosystem, environment, and health, which explained 74.8% of the total variance. Reliability was adequate, with a Pearson coefficient of 0.945 and a Cronbach's alpha of 0.753. The tool allows classification of zones into three vulnerability levels: non-vulnerable (0-7), moderate vulnerability (8-14), and high vulnerability (15-22). Its average application time is 10 minutes and requires minimal conditions for use.
Conclusions: A valid and reliable scale was developed to measure vulnerability from the One Health perspective, useful for comprehensive monitoring and intersectoral management in local public health. Its implementation facilitates early risk identification and the adoption of sustainable strategies based on an ecosystem and integrated health approach.
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Copyright (c) 2025 Iluminada Placeres Menéndez, Ana Rosa Jorna Calixto, Orlando Rodríguez Salazar, Zaily Fuentes Díaz
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