Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts

BMC Medical Informatics and Decision Making

Volumn 9, Issue 1, 2009, Pages

  Hafen, Ryan P ^a   Anderson, David E ^b   Cleveland, William S ^a   MacIejewski, Ross ^c   Ebert, David S ^c   Abusalah, Ahmad ^d   Yakout, Mohamed ^d   Ouzzani, Mourad ^d   Grannis, Shaun J ^e,f  

^a PURDUE UNIVERSITY   (United States)

^b XAVIER UNIVERSITY OF LOUISIANA   (United States)

^c Purdue University   (United States)

^d Purdue University   (United States)

^e REGENSTRIEF INSTITUTE   (United States)

^f INDIANA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; EPIDEMIC; HEALTH PROGRAM; HEALTH SURVEY; INFLUENZA; PATIENT MONITORING; SEASONAL VARIATION; SENSITIVITY AND SPECIFICITY; ALGORITHM; BIOLOGICAL WARFARE; CROSS-SECTIONAL STUDY; DOCUMENTATION; EARLY DIAGNOSIS; EMERGENCY HEALTH SERVICE; HUMAN; INFORMATION PROCESSING; LONGITUDINAL STUDY; MATHEMATICAL COMPUTING; MEDICAL INFORMATICS; METHODOLOGY; POISSON DISTRIBUTION; RESPIRATORY TRACT INFECTION; SEASON; STATISTICAL MODEL; STATISTICS; SYNDROME; UNITED STATES;

ALGORITHMS; BIOTERRORISM; CROSS-SECTIONAL STUDIES; DATA COLLECTION; DISEASE OUTBREAKS; DOCUMENTATION; EARLY DIAGNOSIS; EMERGENCY SERVICE, HOSPITAL; HUMANS; INDIANA; LONGITUDINAL STUDIES; MATHEMATICAL COMPUTING; MEDICAL INFORMATICS COMPUTING; MODELS, STATISTICAL; POISSON DISTRIBUTION; POPULATION SURVEILLANCE; RESPIRATORY TRACT INFECTIONS; SEASONS; SYNDROME;

EID: 65549099223     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/1472-6947-9-21     Document Type: Article

References (27)

1. Development, adaptation, and assessment of alerting algorithms for biosurveillance. H Burkom, Johns Hopkins APL Technical Digest 2003 24 4 335 342
2. Automated time series forecasting for biosurveillance. H Burkom S Murphy G Shmueli, Stat in Med 2007 26 22 4202 4218 10.1002/sim.2835 (Pubitemid 47399348)
3. Time series modeling for syndromic surveillance. B Reis K Mandl, BMC Med Inform Decis Mak 2003 3 2 12542838 10.1186/1472-6947-3-2 (Pubitemid 38799830)
4. The bioterrorism preparedness and response Early Aberration Reporting System (EARS). L Hutwagner W Thompson G Seeman T Treadwell, J Urban Health 2003 80 i89 i96 12791783 (Pubitemid 37490075)
5. Scan statistics for temporal surveillance for biologic terrorism. S Wallenstein J Naus, MMWR Morb Mortal Wkly Rep 2004 53 Suppl 74 78 15714633
6. Modeling emergency department visit patterns for infectious disease complaints: results and application to disease surveillance. J Brillman T Burr D Forslund E Joyce R Picard E Umland, BMC Med Inform Decis Mak 2005 5 4 1 14 15638940 (Pubitemid 40605227)
7. Algorithm for statistical detection of peaks-syndromic surveillance system for the Athens 2004 olympic games. U Dafni S Tsiodras D Panagiotakos K Gkolfinopoulou G Kouvatseas Z Tsourti G Saroglou, MMWR Morb Mortal Wkly Rep 2004 53 86 94 15714635
8. A model-adjusted space-time scan statistic with an application to syndromic surveillance. K Kleinman A Abrams M Kulldorff R Platt, Epidemiology and Infection 2005 133 03 409 419 10.1017/S0950268804003528 (Pubitemid 40867677)
9. Rule-based anomaly pattern detection for detecting disease outbreaks. W Wong A Moore G Cooper M Wagner, Proc. 18th Nat. Conf. on Artificial Intelligence Menlo Park, CA; Cambridge, MA; London; AAAI Press; MIT Press 1999 2002 217 223
10. Accounting for seasonal patterns in syndromic surveillance data for outbreak detection. T Burr T Graves R Klamann S Michalak R Picard N Hengartner, BMC Med Inform Decis Mak 2006 6 40 17144927 10.1186/1472-6947-6-40
11. Evaluation of a method for detecting aberrations in public health surveillance data. D Stroup M Wharton K Kafadar A Dean, Am J Epidemiol 1993 137 3 373 380 8452145 (Pubitemid 23090471)
12. Using laboratory-based surveillance data for prevention: an algorithm for detecting salmonella outbreaks. L Hutwagner E Maloney N Bean L Slutsker S Martin, Emerg Infect Dis 1997 3 395 400 9284390 (Pubitemid 127431706)
13. A statistical algorithm for the early detection of outbreaks of infectious disease. C Farrington N Andrews A Beale M Catchpole, J R Slat Soc Ser A Stat Soc 1996 159 3 547 563 10.2307/2983331 (Pubitemid 126333158)
14. Automated outbreak detection: a quantitative retrospective analysis. L Stern D Lightfoot, Epidemiol Infect 1999 122 01 103 110 10.1017/ S0950268898001939 10098792 (Pubitemid 29080410)
15. The impact of influenza epidemics on mortality: introducing a severity index. L Simonsen, American Journal of Public Health 1997 87 12 1944 1950 9431281 10.2105/AJPH.87.12.1944 (Pubitemid 28055910)
16. Comparing aberration detection methods with simulated data. L Hutwagner T Browne G Seeman A Fleischauer, Emerg Infect Dis 2005 11 2 314 316 15752454 (Pubitemid 40239253)
17. The indiana public health emergency surveillance system: Ongoing progress, early findings, and future directions. S Grannis M Wade J Gibson J Overhage, AMIA Annu Symp Proc 2006 304 308 17238352 (Pubitemid 43790826)
18. Bayesian classification of triage diagnoses for the early detection of epidemics. R Olszewski, Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference Menlo Park, CA: AAAI 2003 412 7
19. STL: A seasonal-trend decomposition procedure based on loess (with discussion). R Cleveland W Cleveland J McRae I Terpenning, J Offic Stat 1990 6 3 73
20. Clinical recognition and management of patients exposed to biological warfare agents. D Franz P Jahrling A Friedlander D McClain D Hoover W Bryne J Pavlin G Christopher E Eitzen, JAMA 1997 278 5 399 411 10.1001/jama.278.5.399 9244332 (Pubitemid 27327459)
21. R Development Core Team, R: A language and environment for statistical computing R Foundation for Statistical Computing, Vienna, Austria 2005 http://www.R-project.org
22. Locally weighted regression: an approach to regression analysis by local fitting. W Cleveland S Devlin, JASA 1988 83 403 596 610
23. NL Johnson S Kotz A Kemp, Univariate Discrete Distributions New York: Wiley 1992
24. A simulation study comparing aberration detection algorithms for syndromic surveillance. M Jackson A Baer I Painter J Duchin, BMC Med Inform Decis Mak 2007 7 6 6 17331250 10.1186/1472-6947-7-6 (Pubitemid 46426295)
25. Measuring outbreak-detection performance by using controlled feature set simulations. K Mandl B Reis C Cassa, MMWR Morb Mortal Wkly Rep 2004 53 130 6 15714642
26. The distribution of incubation periods of infectious disease. P Sartwell, Am J Hyg 1950 51 3 310 318 15413610
27. The Sverdlovsk anthrax outbreak of 1979. M Meselson J Guillemin M Hugh-Jones A Langmuir I Popova A Shelokov O Yampolskaya, Science 1994 266 5188 1202 1208 10.1126/science.7973702 7973702 (Pubitemid 24371272)