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Zhidong Cao

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#explainable ai Open access Oct 2026

Reframing epidemic early warning: toward AI-native decision intelligence for public health governance

This work proposes reframing early warning as the perceptual foundation of AI-native decision intelligence for public health governance, and introduces ACCESS—integrating situational sensing, cognitive reasoning, scenario simulation, collective coordination, explainable accountability, and adaptive evolution.

Jiao-Jiao Wang, Quan-Yi Wang, Peng Yang et al. · 0 citations
Jul 2026

Epidemic Spread and Control Strategies: A Spatial-individual Agent-based Modeling and Optimization Approach.

A spatial-individual agent-based model is developed that integrates fine-grained spatiotemporal dynamics, where transmission risk is quantified by the exact distance and duration of contact and provides data-driven guidance for optimizing public health policies on campuses.

Xiangyu Zhang, Zhidong Cao, Tianyi Luo et al. · 0 citations

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