Literature DB >> 7610226

Evaluation of a school-based influenza surveillance system.

D D Lenaway1, A Ambler.   

Abstract

Previous studies have suggested using school-based surveillance to monitor epidemic influenza-like illness in a community. Since the late 1970s, no studies have sought to evaluate this public health measure. The Boulder County Health Department developed, piloted, and implemented a school-based surveillance system beginning with the 1988-89 school year. After five seasons of surveillance, the school-based system was evaluated for sensitivity by comparing the epidemic curves from the school-based system with those of a preexisting communicable disease sentinel surveillance system. Additional attributes evaluated included acceptability, simplicity, timeliness, and overall usefulness. Comparisons of the overall epidemic patterns suggest a close correlation between the two measures for the influenza seasons 1988-89 through 1992-93. The school-based system closely followed the general rise, peak, and fall of epidemic influenza-like illness as measured by the preexisting sentinel system. Three of five epidemic peaks matched on the week of occurrence between the two surveillance systems; for the remaining seasons, 1989-90 and 1991-92, the school-based system peaked 1 week earlier than the sentinel system. The use of school-based surveillance has several positive attributes which suggests schools are an ideal setting for detecting influenza outbreaks, including the epidemiology of influenza which has shown children play an important role in the acquisition and spread of influenza-like illness. Student populations were accessible and easily monitored by absenteeism rates that required no diagnosis or invasive testing. All 44 schools within the school district readily participated in the surveillance of influenza. Only minimal time and resources were needed for the system's maintenance. The school-based surveillance system allowed the local health department to track influenza-like illness activity and provide timely and important information concerning outbreaks to schools, public health officials, health care providers,and the public.

Entities:  

Mesh:

Year:  1995        PMID: 7610226      PMCID: PMC1382129     

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


  7 in total

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Journal:  Public Health Rep       Date:  1979 Jan-Feb       Impact factor: 2.792

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Authors:  R B Couch; J A Kasel; W P Glezen; T R Cate; H R Six; L H Taber; A L Frank; S B Greenberg; J M Zahradnik; W A Keitel
Journal:  J Infect Dis       Date:  1986-03       Impact factor: 5.226

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Authors:  W P Glezen
Journal:  Epidemiol Rev       Date:  1982       Impact factor: 6.222

5.  Interpandemic influenza in the Houston area, 1974-76.

Authors:  W P Glezen; R B Couch
Journal:  N Engl J Med       Date:  1978-03-16       Impact factor: 91.245

6.  Influenza surveillance by age and target group.

Authors:  H M Foy; C Hall; M K Cooney; I Allan; J P Fox
Journal:  Am J Epidemiol       Date:  1979-05       Impact factor: 4.897

7.  Influenza B virus infections in the community and the family. The epidemics of 1976-1977 and 1979-1980 in Houston, Texas.

Authors:  A L Frank; L H Taber; W P Glezen; E A Geyer; S McIlwain; A Paredes
Journal:  Am J Epidemiol       Date:  1983-09       Impact factor: 4.897

  7 in total
  17 in total

1.  Timeliness of data sources used for influenza surveillance.

Authors:  Lynne Dailey; Rochelle E Watkins; Aileen J Plant
Journal:  J Am Med Inform Assoc       Date:  2007-06-28       Impact factor: 4.497

2.  Active influenza surveillance at the local level: a model for local health agencies.

Authors:  Tista S Ghosh; Richard L Vogt
Journal:  Am J Public Health       Date:  2008-01-02       Impact factor: 9.308

3.  Description and evaluation of the 2009-2010 Pennsylvania Influenza Sentinel School Monitoring System.

Authors:  Vanessa L Short; Chandra K Marriott; Stephen Ostroff; Kirsten Waller
Journal:  Am J Public Health       Date:  2011-05-12       Impact factor: 9.308

4.  Influenza and school-based influenza-like illness surveillance: a pilot initiative in Maryland.

Authors:  Geoffrey B Crawford; Sara McKelvey; Janet Crooks; Karen Siska; Kelly Russo; Jinlene Chan
Journal:  Public Health Rep       Date:  2011 Jul-Aug       Impact factor: 2.792

5.  A Bayesian dynamic model for influenza surveillance.

Authors:  Paola Sebastiani; Kenneth D Mandl; Peter Szolovits; Isaac S Kohane; Marco F Ramoni
Journal:  Stat Med       Date:  2006-06-15       Impact factor: 2.373

6.  Web-Based Surveillance of Illness in Childcare Centers.

Authors:  Natalie Schellpfeffer; Abaigeal Collins; David C Brousseau; Emily T Martin; Andrew Hashikawa
Journal:  Health Secur       Date:  2017-09-22

7.  Description of a school nurse visit syndromic surveillance system and comparison to emergency department visits, New York City.

Authors:  Elisha L Wilson; Joseph R Egger; Kevin J Konty; Marc Paladini; Don Weiss; Trang Q Nguyen
Journal:  Am J Public Health       Date:  2013-11-14       Impact factor: 9.308

8.  The use of Twitter to track levels of disease activity and public concern in the U.S. during the influenza A H1N1 pandemic.

Authors:  Alessio Signorini; Alberto Maria Segre; Philip M Polgreen
Journal:  PLoS One       Date:  2011-05-04       Impact factor: 3.240

9.  School absenteeism as an adjunct surveillance indicator: experience during the second wave of the 2009 H1N1 pandemic in Quebec, Canada.

Authors:  Christelle Aïcha Kom Mogto; Gaston De Serres; Monique Douville Fradet; Germain Lebel; Steve Toutant; Rodica Gilca; Manale Ouakki; Naveed Zafar Janjua; Danuta M Skowronski
Journal:  PLoS One       Date:  2012-03-30       Impact factor: 3.240

Review 10.  Evaluation of reporting timeliness of public health surveillance systems for infectious diseases.

Authors:  Ruth Ann Jajosky; Samuel L Groseclose
Journal:  BMC Public Health       Date:  2004-07-26       Impact factor: 3.295

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