Epidemiology of seasonal influenza: use of surveillance data and statistical models to estimate the burden of disease

J Infect Dis. 2006 Nov 1:194 Suppl 2:S82-91. doi: 10.1086/507558.

Abstract

The US Centers for Disease Control and Prevention (CDC) uses a 7-component national surveillance system for influenza that includes virologic, influenza-like illness, hospitalization, and mortality data. In addition, some states and health organizations collect additional influenza surveillance data that complement the CDC's surveillance system. Current surveillance data from these programs, together with national hospitalization and mortality data, have been used in statistical models to estimate the annual burden of disease associated with influenza in the United States for many years. National influenza surveillance data also have been used in suitable models to estimate the possible impact of future pandemics. As part of the public health response to the 2003-2004 influenza season, which was noteworthy for its severe effect among children, new US surveillance activities were undertaken. Further improvements in national influenza surveillance systems will be needed to collect and analyze data in a timely manner during the next pandemic.

Publication types

  • Review

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Centers for Disease Control and Prevention, U.S.
  • Child
  • Child, Preschool
  • Cost of Illness*
  • Disease Outbreaks / economics*
  • Disease Outbreaks / prevention & control*
  • Government Programs
  • Hospitalization* / statistics & numerical data
  • Humans
  • Infant
  • Infant, Newborn
  • Influenza A Virus, H3N2 Subtype / isolation & purification
  • Influenza A virus / isolation & purification
  • Influenza, Human / diagnosis
  • Influenza, Human / economics*
  • Influenza, Human / epidemiology*
  • Influenza, Human / mortality
  • Middle Aged
  • Models, Statistical
  • Sentinel Surveillance*
  • United States / epidemiology