Pandemic Response

Pandemic response research focuses on developing and optimizing strategies to mitigate the impact of infectious disease outbreaks. Current efforts concentrate on improving real-time forecasting using advanced machine learning techniques, such as large language models and transfer learning, alongside agent-based modeling to simulate population behavior and intervention effectiveness. These models are used to evaluate the cost-effectiveness of various interventions, including pharmaceutical, behavioral, and digital approaches, aiming to inform policy decisions and resource allocation for equitable and accessible public health responses. This research is crucial for improving preparedness and response capabilities, ultimately reducing morbidity and mortality during future pandemics.