Estimating the undetected burden of influenza hospitalizations in children

C G Grijalva1, G A Weinberg, N M Bennett

  • 1Department of Preventive Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232-2637, and Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, OH, USA.

Epidemiology and Infection
|December 13, 2006
PubMed

Insights

Capture-recapture analysis improved influenza hospitalization estimates in children under 5. This method offers a more accurate picture of pediatric influenza burden than individual surveillance systems alone.

Area of Science:

  • Epidemiology
  • Infectious Diseases
  • Public Health Surveillance

Background:

  • Two independent influenza surveillance systems, the New Vaccine Surveillance Network (NVSN) and the Emerging Infections Program (EIP), operated concurrently during the 2004-2005 influenza season.
  • NVSN prospectively enrolled children hospitalized with respiratory symptoms, utilizing culture and RT-PCR for influenza testing.
  • EIP identified hospitalized children with positive influenza tests from routine medical care, representing a clinical-laboratory based system.

Purpose of the Study:

  • To estimate the burden of influenza-related hospitalizations in children younger than 5 years.
  • To compare the sensitivity of two distinct influenza surveillance systems.
  • To evaluate the utility of capture-recapture analysis for improving influenza burden estimation.

Main Methods:

  • Capture-recapture analysis was applied using data from the NVSN and EIP surveillance systems.
  • The study focused on children aged less than 5 years hospitalized with influenza during the 2004-2005 season.
  • Sensitivity of each surveillance system was calculated against the capture-recapture estimate.

Main Results:

  • The estimated influenza-related hospitalization rate in children under 5 years was 8.6 per 10,000.
  • The prospective surveillance system (NVSN) demonstrated a sensitivity of 69%.
  • The clinical-laboratory based system (EIP) showed a sensitivity of 39%.

Conclusions:

  • Capture-recapture analysis provides more accurate estimates of influenza-related hospitalizations compared to individual surveillance systems.
  • Integrating data from multiple surveillance systems enhances the precision of public health estimates.
  • This approach is valuable for optimizing resource allocation in influenza surveillance, especially given limited resources.