Reinforcement learning models adaptively shape intervention policies, enabling countries to balance economic activity and public health. By simulating transmission dynamics, these algorithms identify optimal testing, isolation, and vaccination schedules that reduce peak caseloads.
The Signal
Early studies on COVID-19 demonstrate significant cost savings, while global health bodies like WHO explore policy integration.