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Lvbo Tian

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Open access Sep 2026

EGAD: an Empirical Bayes-Driven Gittins allocation framework for imported infectious disease surveillance under resource constraints

Rapid global mobility expansion complicates imported infectious disease surveillance, impeding detection of asymptomatic carriers in high-volume passenger flows. Existing standard operating procedure (SOP)-based, briefing-driven, and baseline reinforcement learning (RL) models are frequently confronted with risk...

Lvbo Tian, Yu-Xing Tian, Meng-Qiu Li et al. · 0 citations

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