A simulation model for assessing aberration detection methods used in public health surveillance for systems with limited baselines

Statistics in Medicine

Volumn 24, Issue 4, 2005, Pages 543-550

  Hutwagner, Lori C ^a   Thompson, W W ^b   Seeman, G M ^a   Treadwell, T ^a  

^a NATL CENTER FOR INFECTIOUS DISEASES   (United States)

^b CENTERS FOR DIS CONTR AND PREV   (United States)

Author keywords

Aberration; Surveillance; Syndromic

Indexed keywords

ARTICLE; BIOLOGICAL MONITORING; BIOLOGICAL WARFARE; CORRELATION FUNCTION; DISEASE CONTROL; HEALTH SURVEY; HUMAN; INFORMATION PROCESSING; INTERMETHOD COMPARISON; PUBLIC HEALTH SERVICE; QUALITY CONTROL; SENSITIVITY AND SPECIFICITY; SIMULATION; STATISTICAL ANALYSIS; TERRORISM;

CENTERS FOR DISEASE CONTROL AND PREVENTION (U.S.); COMPUTER SIMULATION; DISEASE OUTBREAKS; FALSE POSITIVE REACTIONS; HUMANS; MODELS, STATISTICAL; POPULATION SURVEILLANCE; SENSITIVITY AND SPECIFICITY; UNITED STATES;

EID: 13844266617     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.2034     Document Type: Article

References (15)

1. Langmuir AD. The surveillance of communicable diseases of national importance. New England Journal of Medicine 1963; 268 182-192.
2. Thacker SB, Berkelman RL. Public health surveillance in the United States. Epidemiologic Review 1988; 10: 164-190.
3. Thacker SB, Berkelman RL, Stroup DF. The science of public health surveillance. Journal of Public Health Policy 1989; 10 2):187-203.
4. Teutsch SM, Churchill RE (eds). Principles and Practice of Public Health Surveillance. Oxford University Press: New York, 2000.
5. Centers for Disease Control and Prevention. Guidelines for investigating clusters of health events. Morbidity and Mortality Weekly Report 1990; 39(RR-11):1-16.
6. Centers for Disease Control and Prevention. Guidelines for investigating clusters of health events B appendix. Summary of methods for statistically assessing cluster of health events. Morbidity and Mortality Weekly Report 1990; 39(RR-11):17-23.
7. Hutwagner LC, Maloney EK, Bean NH, Slutsker L, Martin SM. Using laboratory-based surveillance data for prevention: an algorithm for detecting Salmonella outbreaks. Emerging Infectious Diseases 1997; 3:395-400.
8. Stern L, Lightfoot D. Automated outbreak detection: a quantitative retrospective analysis. Epidemiology and Infection 1999; 122:103-110.
9. Stroup DF, Williamson GD, Herndon JL, Karon J. Detection of aberrations in the occurrence of notifiable diseases surveillance data. Statistics in Medicine 1989; 8:323-329.
10. Farrington CP, Andrews NJ, Beale AD, Catchpole MA. A statistical algorithm for the early detection of outbreaks of infectious disease. Journal of Royal Statistical Society A 1996; 159 547-563.
11. Vaz V. Syndromic disease surveillance in the wake of anthrax threats and high profile public events. Prevention (Publication of the Bureau of Epidemiology and Disease Control Services Arizona Department of Health Services) 2002; 16(1):1-2.
12. Centers for Disease Control and Prevention. Syndromic surveillance for bioterrorism following the attacks on the World Trade Center - New York City, 2001. Morbidity and Mortality Weekly Report 2002; 51:13-15.
13. Bunk S. Early warning, U.S. scientists counter bioterrorism with new electronic sentinel system. The Scientist 2002; 16 9):14.
14. Banks J. Principles of Quality Control. Wiley: New York, 1985.
15. Stoumbos ZG, Reynolds MR, Ryan TP, Woodall WH. The state of statistical process control as we proceed into the 21st century. Journal of the American Statistical Association 2000; 95 451):992-998.