Research, Innovations and Global Solutions is hosting a “Building COVID-19 Research Collaborations” webinar on Friday, July 31, 2020 from 1 p.m. to 2 p.m.
Title: Statistical Considerations in the Design and Analysis of SARS-CoV-2 Prevalence Studies
- Michael Hudgens, Professor, Department of Biostatistics
- Bonnie Shook-Sa, Postdoctoral Research Associate, Department of Biostatistics
Description: SARS-CoV-2 PCR and serology tests are critical tools for identifying COVID-19 infections, modeling transmission dynamics, estimating mortality rates, and guiding policy surrounding re-opening efforts. There are a number of statistical considerations regarding the use of these tests and the design of studies aiming to estimate prevalence of COVID-19. We will discuss challenges faced by ongoing COVID-19 prevalence studies related to study design, test performance, and generalizability of results. Issues surrounding sampling frame development and adaptive sampling approaches will be discussed. A specimen pooling model will also be presented which may facilitate rapid scale-up of diagnostic testing.