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New York City Syndromic Surveillance Systems

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Infectious Disease Informatics

Part of the book series: Integrated Series in Information Systems ((ISIS,volume 21))

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Abstract

The New York City (NYC) Department of Health and Mental Hygiene (DOHMH) has conducted prospective surveillance of nonspecific health indicators (syndromes) since 1995 (Heffernan et al., 2004a). The DOHMH syndromic surveillance system consists of (ED)-visits-based surveillance system and a few other complementary surveillance systems for Emergency Medical Services (EMS) ambulance dispatch calls, retail pharmacy sales, and work absenteeism data. These systems started operating separately, and different analytical methods are being employed by each of them. A “drop-in” syndromic surveillance system that deployed CDC field-staff to conduct 24 hours surveillance for bioterrorism related illness was implemented following the September 11th 2001 attack (Das et al., 2003; CDC, 2002). We use Table 11-1 to summarize these systems that comprise the syndromic surveillance activities in New York City. However, in the following text, the case study will focus around the ED visits based syndromic surveillance system in NYC.

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Important readings:

  1. Heffernan, R., F. Mostashari, D. Das, A. Karpati, M. Kulldorf, and D. Weiss (2004). “New York City Syndromic Surveillance Systems.” MMWR (CDC) 53(Suppl): pp 23–27.

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  2. Heffernan, R., F. Mostashari, D. Das, M. Besculides, C. Rodriguez, J. Greenko, L. Steiner-Sichel, S. Balter, A. Karpati, P. Thomas, M. Phillips, J. Ackelsberg, E. Lee, J. Leng, J. Hartman, K. Metzger, R. Rosselli, and D. Weiss (2004). “Syndromic surveillance in public health practice, New York City.” Emerging Infectious Diseases [serial on the Internet].

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  3. Mostashari F., A. Fine, D. Das, J. Adams, M. Layton (2003). “Use of ambulance dispatch data as an early warning system for community-wide influenza-like illness, New York City.” Journal of Urban Health 80(2 Suppl 1), pp i43–i49.

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  4. Heffernan, R., F. Mostashari, D. Das, M. Besculides, C. Rodriguez, J. Greenko, L. Steiner-Sichel, S. Balter, A. Karpati, P. Thomas, M. Phillips, J. Ackelsberg, E. Lee, J. Leng, J. Hartman, K. Metzger, R. Rosselli, and D. Weiss (2004). “System Descriptions New York City Syndromic Surveillance Systems.” MMWR(CDC) 53(Suppl), pp 23–27.

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  5. Das, D., D. Weiss, D. Heffernan (2005) “Respiratory Illness Surveillance Using Multiple Syndromic Systems, New York City,” working document, available at: thci.org/_Documents /temp/das%202005_final.doc

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References

  • Das, D., Weiss, D., and Mostashari, F. 2003. "Enhanced Drop-in Syndromic Surveillance in New York City Following September 11, 2001," J Urban Health (80:1(suppl)), pp. 176–188.

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  • Greenko, J., Mostashari, F., Fine, A., and Layton, M. 2003. "Clinical Evaluation of the Emergency Medica Services (EMS) Ambulance Dispatch-Based Syndromic Surveillance System, New York City," Journal of Urban Health: Bulletin of the New York Academy of Medicine (80:2), pp. i50–i56.

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  • Heffernan, R., Mostashari, F., Das, D., Besculides, M., Rodriguez, C., Greenko, J., Steiner-Sichel, L., Balter, S., Karpati, A., Thomas, P., Phillips, M., Ackelsberg, J., Lee, E., Leng, J., Hartman, J., Metzger, K., Rosselli, R., and Weiss, D. 2004. "New York City Syndromic Surveillance Systems," MMWR (CDC) (53(Suppl)), pp. 23–27.

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  • Kulldorff, M. 1997. "A Spatial Scan Statistic," Communications in Statistics: Theory and Methods (26), pp. 1481–1496.

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  • Mostashari, F. 2002. "Lessons Learned from the National Syndromic Surveillance Conference. Presentation at the 2002 National Syndromic Surveillance Conference, New York." from http://dimacs.rutgers.edu/Workshops/AdverseEvent/slides/Mostashari.ppt

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Chen, H., Zeng, D., Yan, P. (2010). New York City Syndromic Surveillance Systems. In: Infectious Disease Informatics. Integrated Series in Information Systems, vol 21. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-1278-7_11

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  • DOI: https://doi.org/10.1007/978-1-4419-1278-7_11

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-1277-0

  • Online ISBN: 978-1-4419-1278-7

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