Reinforcement learning models adaptively shape intervention policies, reducing transmission and resource strain worldwide. By simulating vaccination, quarantine, and testing scenarios, researchers can identify optimal timing and allocation, improving outcomes in pandemics like COVID-19.
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Global health agencies, including the WHO, are integrating these insights into decision‑support tools, accelerating evidence‑based responses across nations.