Construction of the knowledge graph ontology for public health events based on the EOC model

Corresponding author: Maoayan, mao.ayan@imicams.ac.cn

DOI: 10.12201/bmr.202602.00051

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  Abstract: The complexity, sudden onset, unpredictability, and harmfulness of public health emergencies present significant challenges for event management and decision-making support. This study employs the EOC (Element–Object–Consequence) model, combined with multiple dimensions including scenario, environment, and response & management, to construct a structured and hierarchical ontology framework for public health emergency knowledge graphs. By systematically integrating multi-source heterogeneous data, this framework can clearly present a comprehensive picture of public health emergencies, reveal the intrinsic logical relationships among various elements, and provide strong support for the full-process management of such events. Using the “Tianshui Kindergarten Elevated Blood Lead Incident (July 1st)” as a case study, the model was validated in event review, accountability tracing, and decision-making support. The results demonstrate that it can effectively enhance the capacity for responding to and managing public health emergencies, providing scientific and precise technical support for emergency management.

  Key words: EOC model、public health events、ontology construction

  Submit time: 11 February 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  1	2025-10-10	10.12201/bmr.202602.00051V1	Download

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