1. Representativeness of a national, probability-based panel survey of COVID-19 isolation practices—United States, 2020–2022
- Author
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Holly H. Matulewicz, Divya Vohra, Willow Crawford-Crudell, John E. Oeltmann, Patrick K. Moonan, Melanie M. Taylor, Chandra Couzens, and Andy Weiss
- Subjects
representativeness ,panel survey ,validity ,isolation ,COVID-19 ,SARS-CoV-2 ,Infectious and parasitic diseases ,RC109-216 - Abstract
The U.S. Centers for Disease Control and Prevention (CDC) received surveillance data on how many people tested positive for SARS-CoV-2, but there was little information about what individuals did to mitigate transmission. To fill the information gap, we conducted an online, probability-based survey among a nationally representative panel of adults living in the United States to better understand the behaviors of individuals following a positive SARS-CoV-2 test result. Given the low response rates commonly associated with panel surveys, we assessed how well the survey data aligned with CDC surveillance data from March, 2020 to March, 2022. We used CDC surveillance data to calculate monthly aggregated COVID-19 case counts and compared these to monthly COVID-19 case counts captured by our survey during the same period. We found high correlation between our overall survey data estimates and monthly case counts reported to the CDC during the analytic period (r: +0.94; p
- Published
- 2024
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