Evaluating generative artificial intelligence's limitations in health policy identification and interpretation.

Policy epidemiology utilizes human subject-matter experts (SMEs) to systematically surface, analyze, and categorize legally-enforceable policies. The Analysis and Mapping of Policies for Emerging Infectious Diseases project systematically collects and assesses health-related policies from all United Nations Member States. The recent proliferation of generative artificial intelligence (GAI) tools powered by large language models have led to suggestions that such technologies be incorporated into our project and similar research efforts to decrease the human resources required.

Global approaches to tackling antimicrobial resistance: a comprehensive analysis of water, sanitation and hygiene policies.

Background: Unsafe water, sanitation and hygiene (WASH) contributes to a high burden of disease and exacerbates factors that promote the development of antimicrobial resistance (AMR). Enforceable policies are foundational to curbing inappropriate use of antimicrobials and providing safe WASH. While many countries have established National Action Plans for AMR that include provisions for WASH, few have codified these plans into legally enforceable policy.