Overview
Information on population immunity to COVID-19 comes from different types of studies. Some, like the Action to Beat Coronavirus (Ab-C) Study, invite randomly selected individuals to participate. Other studies use populations who are already having blood drawn, such as blood donors. While monitoring immunity levels with a convenient population like blood donors can be implemented quickly and inexpensively, some subgroups of the population may be underrepresented or missing, leading to ‘blind spots’. At the same time, response rates to surveys with randomly-invited participants during COVID-19 were low, which could also threaten the representativeness of those studies. In this study, we will compare COVID-19 antibody data from blood donors to Ab-C Study and other studies with randomly sampled participants to assess differences in which sociodemographic and geographic subgroups are represented. We will analyze how different ways of correcting the study results based on the characteristics of the surveyed group can help us obtain more accurate measures of COVID-19 immunity about the entire population, from both blood donor data and studies like Ab-C Study.
Calendar
- Start Date
- 2023-05-16
Contact Details
- Name
- Dr. Alton Russel
- Institution
-
McGill University