The validity of self-initiated, event-driven infectious disease reporting in general population cohorts

PLoS One. 2013 Apr 17;8(4):e61644. doi: 10.1371/journal.pone.0061644. Print 2013.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Bias
  • Child
  • Child, Preschool
  • Cohort Studies
  • Disease Notification / statistics & numerical data*
  • False Positive Reactions
  • Humans
  • Infant
  • Infant, Newborn
  • Influenza, Human / epidemiology*
  • Logistic Models
  • Middle Aged
  • Multivariate Analysis
  • Predictive Value of Tests
  • Reproducibility of Results
  • Seasons
  • Sentinel Surveillance
  • Sweden / epidemiology
  • Young Adult

Grants and funding

This work was supported by the European Union Seventh Framework Programme (grant number EPIWORK 231807) (http://cordis.europa.eu/fp7/home_en.html); the Strategic Research Program in Epidemiology at Karolinska Institutet (http://ki.se/ki/jsp/polopoly.jsp?d=34466&l=en); and the Swedish Institute for Communicable Disease Control (http://smi.se/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.