Estimating Influenza Disease Burden from Population-Based Surveillance Data in the United States

Annual estimates of the influenza disease burden provide information to evaluate programs and allocate resources. We used a multiplier method with routine population-based surveillance data on influenza hospitalization in the United States to correct for under-reporting and estimate the burden of in...

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Vydané v:PloS one Ročník 10; číslo 3; s. e0118369
Hlavní autori: Reed, Carrie, Chaves, Sandra S., Daily Kirley, Pam, Emerson, Ruth, Aragon, Deborah, Hancock, Emily B., Butler, Lisa, Baumbach, Joan, Hollick, Gary, Bennett, Nancy M., Laidler, Matthew R., Thomas, Ann, Meltzer, Martin I., Finelli, Lyn
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Public Library of Science 04.03.2015
Public Library of Science (PLoS)
Predmet:
Adolescent
Adult
Adults
Age
Age determination
Aged
Child
Control
Dentistry
Disease control
Disease prevention
Distribution
Estimates
Family medical history
Fatalities
Female
Health surveillance
Hospitalization
Hospitalization - statistics & numerical data
Hospitals
Humans
Immunization
Infections
Influenza
Influenza, Human - epidemiology
Influenza, Human - therapy
Male
Medical laboratories
Medical records
Methods
Middle Aged
Mortality
Pandemics
Patients
Population
Prevention
Public health
Seasons
Surveillance
Surveillance systems
Swine flu
United States
Vaccines
Viruses
United States
California
Oregon
Atlanta Georgia
New York
New Mexico
United States > US
Colorado
ISSN:1932-6203, 1932-6203
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Shrnutí:Annual estimates of the influenza disease burden provide information to evaluate programs and allocate resources. We used a multiplier method with routine population-based surveillance data on influenza hospitalization in the United States to correct for under-reporting and estimate the burden of influenza for seasons after the 2009 pandemic. Five sites of the Influenza Hospitalization Surveillance Network (FluSurv-NET) collected data on the frequency and sensitivity of influenza testing during two seasons to estimate under-detection. Population-based rates of influenza-associated hospitalization and Intensive Care Unit admission from 2010-2013 were extrapolated to the U.S. population from FluSurv-NET and corrected for under-detection. Influenza deaths were calculated using a ratio of deaths to hospitalizations. We estimated that influenza-related hospitalizations were under-detected during 2010-11 by a factor of 2.1 (95%CI 1.7-2.9) for age < 18 years, 3.1 (2.4-4.5) for ages 18-64 years, and 5.2 (95%CI 3.8-8.3) for age 65+. Results were similar in 2011-12. Extrapolated estimates for 3 seasons from 2010-2013 included: 114,192-624,435 hospitalizations, 18,491-95,390 ICU admissions, and 4,915-27,174 deaths per year; 54-70% of hospitalizations and 71-85% of deaths occurred among adults aged 65+. Influenza causes a substantial disease burden in the U.S. that varies by age and season. Periodic estimation of multipliers across multiple sites and age groups improves our understanding of influenza detection in sentinel surveillance systems. Adjusting surveillance data using a multiplier method is a relatively simple means to estimate the impact of influenza and the subsequent value of interventions to prevent influenza.
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Conceived and designed the experiments: CR SSC PDK DA EBH NMB MRL AT MIM LF JB. Performed the experiments: PDK RE DA EBH LB GH MRL. Analyzed the data: CR SSC. Wrote the paper: CR SSC PDK DA EBH NMB MRL AT MIM LF RE LB GH JB.
Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0118369