AI-Powered Policy Optimization for Pandemic Control: Combining Pharmacological, Non-Pharmacological Strategies, and Mutation

This article introduces an AI-based multi-dimensional policy making algorithm for controlling the casualties of pandemic diseases. The algorithm combines pharmacological and non-pharmacological policies, mutation factors, and analyzes data and simulates experiments to formulate optimal policies. The article also discusses challenges and future prospects in policy making.