Speaker
Long COVID, also known as postacute sequelae of SARS-CoV-2 infection (PASC), is a chronic condition characterized by long-term symptoms that persist for months or even years after initial SARS-CoV-2 infection. Over 200 symptoms have been identified as being associated with Long COVID, affecting nearly every body system. Long COVID is known to manifest differently across individuals, wax and wane over time, and range from mild to incapacitating, with profound effects on quality of life. While recognition of Long COVID is growing among adults, it is still woefully understudied in children. The rapid materialization of large-scale observational data, including the Researching COVID to Enhance Recovery (RECOVER) meta-cohort, has generated enormous opportunity for novel discovery that could lead to effective prevention strategies and improved outcomes for patients living with Long COVID. The statistical challenges inherent in effectively and appropriately leveraging these novel data resources are numerous. In this talk, I will discuss my role as lead biostatistician of the Data Resource Core for RECOVER, present our work developing a working definition for a new chronic disease, and highlight the many statistical challenges in the study of Long COVID.
Zoom webinar link: https://duke.zoom.us/j/95276961581?pwd=y8FxiY7yBCweJ5zJddxMOzh7qikHTh.1
This event is being cross-promoted by the NC BERD Consortium, a collaboration of the CTSA-funded BERD cores at UNC-Chapel Hill, Wake Forest University School of Medicine, and Duke University School of Medicine.