Skip directly to site content Skip directly to page options Skip directly to A-Z link Skip directly to A-Z link Skip directly to A-Z link
Volume 11, Number 9—September 2005
Research

Simulated Anthrax Attacks and Syndromic Surveillance

James D. Nordin*Comments to Author , Michael J. Goodman*, Martin Kulldorff†‡, Debra P. Ritzwoller§, Allyson M. Abrams†‡, Ken Kleinman†, Mary Jeanne Levitt*, James Donahue¶, and Richard Platt†‡
Author affiliations: *HealthPartners Research Foundation, Minneapolis, Minnesota, USA; †Harvard Medical School, Boston, Massachusetts, USA; ‡Harvard Pilgrim Health Care, Boston, Massachusetts, USA; §Kaiser Permanente, Boulder, Colorado, USA; ¶Marshfield Clinic Research Foundation, Marshfield, Wisconsin, USA

Main Article

Table 1

Methods used in bioterrorism surveillance assessments

Study (Reference) Epidemic data Background data Analysis Surveillance system
Mandl et al. (4) Simulated Real Temporal Nonfunctional
Buckridge et al. (6) Detailed simulation None Spatial-temporal None
Kulldorff et al. (7) Simulated Simulated Spatial-temporal Nonfunctional
Nordin et al. (this study) Simulated Real Spatial-temporal Functioning system

Main Article

References
  1. Buehler  JW, Berkelman  RL, Hartley  DM, Peters  CJ. Syndromic surveillance and bioterrorism-related epidemics. Emerg Infect Dis. 2004;10:13334.PubMedGoogle Scholar
  2. Sosin  DM, de Thomasis  J. Evaluation challenges for syndromic surveillance-making incremental progress. MMWR Morb Mortal Wkly Rep. 2004;53(Suppl):1259.PubMedGoogle Scholar
  3. Reingold  A. If syndromic surveillance is the answer, what is the question? Biosecur Bioterror. 2003;1:7781. DOIPubMedGoogle Scholar
  4. Mandl  KD, Reis  B, Cassa  C. Measuring outbreak-detection performance by using controlled feature set simulations. MMWR Morb Mortal Wkly Rep. 2004;53(Suppl):1306.PubMedGoogle Scholar
  5. Meselson  M, Guillemin  J, Hugh-Jones  M, Langmuir  A, Popova  I, Shelokov  A, The Sverdlovsk anthrax outbreak of 1979. Science. 1994;266:12028. DOIPubMedGoogle Scholar
  6. Buckeridge  DL, Burkom  H, Moore  A, Pavlin  J, Cutchis  P, Hogan  W. Evaluation of syndromic surveillance systems—design of an epidemic simulation model. MMWR Morb Mortal Wkly Rep. 2004;53(Suppl):13743.PubMedGoogle Scholar
  7. Kulldorff  M, Zhang  Z, Hartman  J, Heffernan  R, Huang  L, Mostashari  F. Benchmark data and power calculations for evaluating disease outbreak detection methods. MMWR Morb Mortal Wkly Rep. 2004;53(Suppl):14451.PubMedGoogle Scholar
  8. Yih  WK, Caldwell  B, Harmon  R, Kleinman  K, Lazarus  R, Nelson  A, The National Bioterrorism Syndromic Surveillance Demonstration Program. MMWR Morb Mortal Wkly Rep. 2004;53(Suppl):436.PubMedGoogle Scholar
  9. Platt  R, Bocchino  C, Caldwell  B, Harmon  R, Kleinman  K, Lazarus  R, Syndromic surveillance using minimum transfer of identifiable data: the example of the National Bioterrorism Syndromic Surveillance Demonstration Program. J Urban Health. 2003;80(Suppl 1):i2531.PubMedGoogle Scholar
  10. Kulldorff  M. Prospective time-periodic geographical disease surveillance using a scan statistic. JR Stat Soc. 2001;164A:6172.
  11. Kleinman  KP, Abrams  AM, Kulldorff  M, Platt  R. A model-adjusted space-time scan statistic with an application to syndromic surveillance. Epidemiol Infect. 2005;133:40919. DOIPubMedGoogle Scholar
  12. Brookmeyer  R, Blades  N. Prevention of inhalational anthrax in the U.S. outbreak. Science. 2002;295:1861. DOIPubMedGoogle Scholar

Main Article

Page created: April 23, 2012
Page updated: April 23, 2012
Page reviewed: April 23, 2012
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
file_external