HSPH Biostatistics & DFCI Data Science Colloquium Seminar Series

November 6, 2025 at 4:00pm
HSPH FXB-301

Andrea Foulkes, ScD, Director, Biostatistics, Professor of Medicine, Harvard Medical School
Professor, Department of Biostatistics, Harvard T.H. Chan School of Public Health

A considerable proportion of individuals with a history of SARS-COV-2 infection experience persistent and often debilitating symptoms, varying from cardiopulmonary and neuro-cognitive symptoms to myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and dysautonomia.
These symptomologies, collectively known as Long COVID, manifest differently across individuals, wax and wane over time, and range from mild to incapacitating, with profound effects on quality of life. At the same time, the rapid materialization of large-scale observational data, including the Researching COVID to Enhance Recovery (RECOVER) meta-cohort, has MASSACHUSETTS GENERAL HOSPITAL generated enormous opportunity for novel discovery and enhanced clinical decision-making tools that could lead to effective prevention strategies and improved outcomes. The statistical challenges inherent in effectively and appropriately leveraging these novel data resources are numerous. In this talk, I discuss my role as the Pl of the Data Resource Core for RECOVER and highlight some of the specific statistical challenges in the study of Long COVID.