A general framework for optimising cost-effectiveness of pandemic response under partial intervention measures.

ABSTRACT: The COVID-19 pandemic created enormous public health and socioeconomic challenges. The health effects of vaccination and non-pharmaceutical interventions (NPIs) were often contrasted with significant social and economic costs. We describe a general framework aimed to derive adaptive cost-effective interventions, adequate for both recent and emerging pandemic threats. We also quantify the net health benefits and propose a reinforcement learning approach to optimise adaptive NPIs. The approach utilises an agent-based model simulating pandemic responses in Australia, and accounts for a heterogeneous population with variable levels of compliance fluctuating over time and across individuals. Our analysis shows that a significant net health benefit may be attained by adaptive NPIs formed by part

SUBMITTER: Nguyen QD 

PROVIDER: S-EPMC9662136 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature