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Journal of Urban Health : Bulletin of the New York Academy of Medicine logoLink to Journal of Urban Health : Bulletin of the New York Academy of Medicine
editorial
. 2003 Mar;80(Suppl 1):i1–i7. doi: 10.1093/jurban/jtg042

Syndromic surveillance: A local perspective

Farzad Mostashari 1,, Jessica Hartman 1,2
PMCID: PMC3456537  PMID: 12892064

Conclusions

The promise of syndromic surveillance extends beyond early warning for bioterrorist attacks. Even if bioterrorism is first detected by an astute clinician, syndromic surveillance can help delineate the size, location, and tempo of the epidemic or provide reassurance that a large outbreak is not occurring when a single case or a small, localized cluster of an unusual illness is detected. More broadly, however, as public health and medicine proceed in our information age, the use of existing electronic data for public health surveillance will not appear to be an untested experiment for long. The challenge is to allow these systems to flower without burdening them with unrealistic expectations, centralized control, and unbalanced funding. To help syndromic surveillance systems reach their full potential, we need data standards, guidance to the developers of clinical information systems that will ensure data flow and interoperability, evaluations of best practices, links to improved laboratory diagnostics, regulations that protect privacy and data security, and reliable sustained funding for public health infrastructure to ensure the capacity to respond when the alarm sounds.

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Footnotes

The views and opinions expressed in this editorial are those of the authors and not of the institutions they represent.

Referneces

  • 1.Das D, Weiss D, Mostashari F, et al. Enhanced drop-in syndromic surveillance in New York City following September 11, 2001. J Urban Health. 2003;80(2):i76–i88. doi: 10.1007/PL00022318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Newton E. Video and Click-Stream Data as Surveillance Tools. Presented at: The First National Syndromic Surveillance Conference, September 23–24, 2002; New York, NY.
  • 3.Lawson A. Temporal-Spatial Methodologies and Data Sources. Presented at: The First National Syndromic Surveillance Conference, September 23–24, 2002; New York, NY.
  • 4.Hutwagner L, Thompson W, Seeman GM, Treadwell T. The bioterrorism preparedness and response Early Aberration Reporting Systems (EARS) J Urban Health. 2003;80(2):i89–96. doi: 10.1007/PL00022319. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Mostashari F, Fine A, Das D, Adams J, Layton M. Use of ambulance dispatch data as an early warning system for communitywide influenzalike illness, New York City. J Urban Health. 2003;80(2):i43–i49. doi: 10.1007/PL00022314. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Wong W-K, Moore A, Cooper G, Wagner M. WSARE: what’s strange about recent events? J Urban Health. 2003;80(2):i66–i75. doi: 10.1007/PL00022317. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Burkom HS. Biosurveillance applying scan statistics with multiple, disparate data sources. Journal of Urban Health. 2003;80(2):i57–i65. doi: 10.1007/PL00022316. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Tsui FC, Wagner MM, Dato V, Chang CC. Value ofICD-9 coded chief complaints for detection of epidemics.Proc AMIA Symp. 2001;711–715. [PMC free article] [PubMed]
  • 9.Lazarus R, Kleinman K, Dashevsky I, et al. Use of automated ambulatory-care encounter records for detection of acute illness clusters, including potential bioterrorism events. Emerg Infect Dis. 2002;8:753–760. doi: 10.3201/eid0808.020239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Goldenberg A, Shmueli G, Caruana RA, Fienberg SE. Early statistical detection of anthrax outbreaks by tracking over-the-counter medication sales. Proc Natl Acad Sci USA. 2002;99:5237–5240. doi: 10.1073/pnas.042117499. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Lombardo J, Burkom H, Elbert E, et al. A systems overview of the Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE II) J Urban Health. 2003;80(2):i32–i42. doi: 10.1007/PL00022313. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Carley K Yahja A, Kaminsky B. BIOWAR city-scale multi-agent network model of bioattacks. Available at: www.casos.ece.cmu.edu/projects/BioWar/BioWarPoster.ppt. Accessed January 31, 2003.
  • 13.Sosin DM. Draft framework for evaluating syndromic surveillance systems. J Urban Health. 2003;80(2):i8–i13. doi: 10.1007/PL00022309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Greenko J, Mostashari F, Fine A, Layton M. Clinical evaluation of the emergency medical services (EMS) ambulance dispatch-based syndromic surveillance system, New York City. J Urban Health. 2003;80(2):i50–i56. doi: 10.1007/PL00022315. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Fawcett T, Provost F. Activity monitoring: noticing interesting changes in behavior. Paper presented at: Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; August 15–18, 1999; San Diego, CA.
  • 16.Weiss D. The Public Health Response to Syndromic Surveillance Signals. Presented at: The First National Syndromic Surveillance Conference; September 23–24, 2002; New York, NY.
  • 17.Duchin JS. Epidemiological response to syndromic surveillance signals. J Urban Health. 2003;80(2):i115–i116. doi: 10.1007/PL00022322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Pavlin JA. Investigation of disease outbreaks detected by “syndromic” surveillance systems. J Urban Health. 2003;80(2):i107–i114. doi: 10.1007/PL00022321. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Platt R, Bocchino C, Caldwell B, et al. Syndromic surveillance using minimum transfer of identifiable data: The example of the National Bioterrorism Syndromic Surveillance Demonstration Program. J Urban Health. 2003;80(2):i25–i31. doi: 10.1007/PL00022312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Lober WB, Trigg L, Karras B, et al. Syndromic surveillance using automated collection of computerized discharge diagnoses. J Urban Health. 2003;80(2):i97–i106. doi: 10.1007/PL00022320. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Broome CV, Horton HH, Tress D, Lucido SJ, Koo D. Statutory basis for public health reporting beyond specific diseases. J Urban Health. 2003;80(2):i14–i22. doi: 10.1007/PL00022310. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Sidel VW, Gould RM, Cohen HW. Bioterrorism preparedness: cooptation of public health?Med Global Surviv. 2002;7:82–89.
  • 23.Norovirus activity—United States, 2002.MMWR Morb Mortal Wkly Rep. 2003;52:41–44. [PubMed]

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