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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.
Affiliation
  • Heather Bradley; Georgia State University School of Public Health
  • Mansour Fahimi; Marketing Systems Group
  • Travis Sanchez; Emory University Rollins School of Public Health
  • Ben Lopman; Emory University Rollins School of Public Health
  • Martin Frankel; Baruch College, City University of New York
  • Colleen Kelley; Emory University School of Medicine
  • Richard Rothenberg; Georgia State University School of Public Health
  • Aaron J Siegler; Emory University Rollins School of Public Health
  • Patrick S Sullivan; Emory University Rollins School of Public Health
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20195099
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.
License
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Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies Language: En Year: 2020 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies Language: En Year: 2020 Document type: Preprint