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Activity Number: 9 - COVID-19 and Survey Sampling: Challenges and Opportunities
Type: Invited
Date/Time: Sunday, August 8, 2021 : 1:30 PM to 3:20 PM
Sponsor: Survey Research Methods Section
Abstract #316690
Title: A Design for Hospital-Based Coronavirus Tracking
Author(s): Yajuan Si* and Len Covello and Andrew Gelman and Siquan Wang
Companies: University of Michigan and Community Hospital and Columbia University and Columbia University
Keywords: Coronavirus; selection bias; multilevel regression and poststratification

In the presence of an epidemic, it is important for both governmental and healthcare organizations to have indications of changes in rates of exposure among patients and the general population. We present here an approach to collecting and analyzing data on viral exposure among patients in a hospital system and performing statistical adjustment to estimate viral incidence and trends in the community. We are currently applying this monitoring and analysis protocol in a hospital system in Indiana, and this could serve as a model for other medical groups to perform local data collection and analysis, ultimately with an eye to linking to national data collection efforts and population generalizability.

Authors who are presenting talks have a * after their name.

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