Investigating Symptom Duration Using Current Status Data: A Case Study of Postacute COVID-19 Syndrome.

Journal: Epidemiology (Cambridge, Mass.)
Published Date:

Abstract

BACKGROUND: For infectious diseases, characterizing symptom duration is of clinical and public health importance. Symptom duration may be assessed by surveying infected individuals and querying symptom status at the time of survey response. For example, in a severe acute respiratory syndrome coronavirus 2 testing program at the University of Washington, participants were surveyed at least 28 days after testing positive and asked to report current symptom status. This study design yielded current status data: outcome measurements for each respondent consisted only of the time of survey response and a binary indicator of whether symptoms had resolved by that time. Such study design benefits from limited risk of recall bias, but analyzing the resulting data necessitates tailored statistical tools.

Authors

  • Charles J Wolock
    Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia.
  • Susan Jacob
    Department of Epidemiology, University of Washington, Seattle, WA.
  • Julia C Bennett
    Department of Epidemiology, University of Washington, Seattle, WA.
  • Anna Elias-Warren
    Department of Epidemiology, University of Washington, Seattle, WA.
  • Jessica O'Hanlon
    Department of Epidemiology, University of Washington, Seattle, WA.
  • Avi Kenny
    Last Mile Health, Congo Town, Monrovia, Liberia.
  • Nicholas P Jewell
    Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Andrea Rotnitzky
    Department of Biostatistics, University of Washington, Seattle, WA.
  • Stephen R Cole
    Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill.
  • Ana A Weil
    Department of Medicine, University of Washington, Seattle, WA.
  • Helen Y Chu
    Department of Epidemiology, University of Washington, Seattle, WA.
  • Marco Carone
    Department of Biostatistics, University of Washington.