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PMID: 16107568 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Identifying pediatric age groups for influenza vaccination using a real-time regional surveillance system.

American journal of epidemiology ·Vol. 162 ·No. 7 ·2005-10-01 ·Pages 686-93

Brownstein JS, Kleinman KP, Mandl KD

Abstract

Evidence is accumulating that universal vaccination of schoolchildren would reduce the transmission of influenza. The authors sought to identify target age groups within the pediatric population that develop influenza the earliest and are most strongly linked with mortality in the population. Patient visits for respiratory illness were monitored, using real-time syndromic surveillance systems, in six Massachusetts health-care settings, including ambulatory care sites and emergency departments at tertiary-care and community hospitals. Visits from January 1, 2000, to September 30, 2004, were segmented into age group subpopulations. Timeliness and prediction of each subpopulation were measured against pneumonia and influenza mortality in New England with time-series analyses and regression models. Study results show that patient age significantly influences timeliness (p = 0.026), with pediatric age groups arriving first (p < 0.001); children aged 3-4 years are consistently the earliest (p = 0.0058). Age also influences the degree of prediction of mortality (p = 0.036), with illness among children under age 5 years, compared with all other patients, most strongly associated with mortality (p < 0.001). Study findings add to a growing body of support for a strategy to vaccinate children older than the currently targeted age of 6-23 months and specifically suggest that there may be value in vaccinating preschool-age children.

MeSH Terms
Adolescent Adult Age Factors Aged Analysis of Variance Child Child, Preschool Fourier Analysis Humans Immunization Programs Infant Infant, Newborn Influenza Vaccines/administration & dosage Influenza, Human/mortality,prevention & control Mass Vaccination Massachusetts/epidemiology Middle Aged Population Surveillance Regression Analysis Retrospective Studies
Chemicals
Influenza Vaccines
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Brownstein John S
Division of Emergency Medicine, Children's Hospital Boston, Harvard Medical School, Boston, MA 02215, USA. john_brownstein@harvard.edu
Kleinman Ken P
Mandl Kenneth D
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Article Info
Journal
American journal of epidemiology
Abbr.
Am J Epidemiol
ISSN
0002-9262
Published
2005-10-01
Epub
2005-00-17
Pages
686-93
Language
English
Region
United States
NLM ID
7910653
PMCID
PMC1266301
Subset
IM
Grants
NLM NIH HHS · R01 LM007677 · United States
NLM NIH HHS · R01 LM007677-01 · United States
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