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Early Release Estimates for SARS-CoV-2 Prevalence and Antibody Response: Interim Weighting for Probability-Based Sample Surveys
Heather Bradley;
Mansour Fahimi;
Travis Sanchez;
Ben Lopman;
Martin Frankel;
Colleen Kelley;
Richard Rothenberg;
Aaron J Siegler;
Patrick S Sullivan
ABSTRACT
Many months into the SARS-CoV-2 pandemic, basic epidemiologic parameters describing burden of disease are lacking. To reduce selection bias in current burden of disease estimates derived from diagnostic testing data or serologic testing in convenience samples, we are conducting a national probability-based sample SARS-CoV-2 serosurvey. Sampling from a national address-based frame and using mailed recruitment materials and test kits will allow us to estimate national prevalence of SARS-CoV-2 infection and antibodies, overall and by demographic, behavioral, and clinical characteristics. Data will be weighted for unequal selection probabilities and non-response and will be adjusted to population benchmarks. Due to the urgent need for these estimates, expedited interim weighting of serosurvey responses will be undertaken to produce early release estimates, which will be published on the study website, COVIDVu.org. Here, we describe a process for computing interim survey weights and guidelines for release of interim estimates.
Citation
Please cite as:
Bradley H, Fahimi M, Sanchez T, Lopman B, Frankel M, Kelley C, Rothenberg R, Siegler AJ, Sullivan PS
Early Release Estimates for SARS-CoV-2 Prevalence and Antibody Response: Interim Weighting for Probability-Based Sample Surveys