Applied Epidemiological Methods for Post-COVID Condition Surveillance

This session will equip participants with practical tools to design and implement robust surveillance for post-COVID conditions (PCC). We examine evolving case PCC case definitions, baseline rates and excess burden of disease attribution. We cover longitudinal methods to track symptom trajectories and causal inference techniques for observational data. By understanding nuanced issues in applied epidemiology methods, attendees will gain skills and competencies directly applicable for researching post-COVID conditions in real-world settings.