Location: https://youtu.be/TRf8FsnCRgM
Date: Oct 21, 2022 - Oct 21, 2022
Start Time: 12:00 pm
End Time: 1:00 pm
Event Link
Seminar description: Many estimates of COVID-19 vaccine effectiveness rely on large-scale data systems such as national health insurance plans. There is a temptation to believe that since these datasets are large and have high penetrance, that epidemiological bias does not play a large role. However, there are still several important challenges to causal inference with big COVID-19 data. We will walk through these challenges and discuss potential solutions.
Presented by Maria Sundaram PhD, MSPH, an associate research scientist at Marshfield Clinic Research Institute. Her current research involves estimating the burden of respiratory viruses like influenza, SARS-CoV-2 and RSV, and estimating the effectiveness of vaccines for them.
To learn more about the Biomedical Data Science Innovation Lab and Seminar Series, please visit: https://www.innovation.lab.virginia.edu