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Previously submitted to: JMIR Research Protocols (no longer under consideration since Nov 18, 2020)

Date Submitted: Sep 15, 2020

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

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

JMIR Preprints. 15/09/2020:24344

DOI: 10.2196/preprints.24344

URL: https://preprints.jmir.org/preprint/24344

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