Health vs Economy - A False Choice in Pandemic Modeling

Watch a 73-minute research seminar where Professor Mikhail Prokopenko from the University of Sydney presents groundbreaking findings on pandemic modeling that challenge the perceived conflict between public health measures and economic stability. Explore how the combination of machine learning and agent-based modeling demonstrates that achieving a balance between health outcomes and economic costs during a pandemic is possible over the long term, despite initial challenges. Learn about the framework for optimizing cost-effectiveness of pandemic responses under partial intervention measures, based on research published in Scientific Reports that effectively dismantles the false dichotomy between protecting public health and maintaining economic stability.