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The Validity of Self-Initiated, Event-Driven Infectious Disease Reporting in General Population Cohorts

Author

Listed:
  • Hanna Merk
  • Sharon Kühlmann-Berenzon
  • Christin Bexelius
  • Sven Sandin
  • Jan-Eric Litton
  • Annika Linde
  • Olof Nyrén

Abstract

Background: The 2009/2010 pandemic influenza highlighted the need for valid and timely incidence data. In 2007 we started the development of a passive surveillance scheme based on passive follow-up of representative general population cohorts. Cohort members are asked to spontaneously report all instances of colds and fevers as soon as they occur for up to 9 months. Suspecting that compliance might be poor, we aimed to assess the validity of self-initiated, event-driven outcome reporting over long periods. Methods: During two 8 week periods in 2008 and 2009, 2376 and 2514 cohort members in Stockholm County were sent one-week recall questionnaires, which served as reference method. Results: The questionnaires were completed by 88% and 86% of the cohort members. Whilst the false positive proportion (1–specificity) in the reporting was low (upper bound of the 95% confidence interval [CI] ≤2% in each season), the false negative proportion (failure to report, 1–sensitivity) was considerable (60% [95% CI 52%–67%] in each season). Still, the resulting epidemic curves for influenza-like illness compared well with those from existing General Practitioner-based sentinel surveillance in terms of shape, timing of peak, and year-to-year variation. This suggested that the error was fairly constant. Conclusions: Passive long-term surveillance through self-initiated, event-driven outcome reporting underestimates incidence rates of common upper respiratory tract infections. However, because underreporting appears predictable, simple corrections could potentially restore validity.

Suggested Citation

  • Hanna Merk & Sharon Kühlmann-Berenzon & Christin Bexelius & Sven Sandin & Jan-Eric Litton & Annika Linde & Olof Nyrén, 2013. "The Validity of Self-Initiated, Event-Driven Infectious Disease Reporting in General Population Cohorts," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-11, April.
  • Handle: RePEc:plo:pone00:0061644
    DOI: 10.1371/journal.pone.0061644
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