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

BMC Medical Informatics and Decision Making - 2009
Ryan Hafen1, David E. Anderson2, William S. Cleveland1, Ross Maciejewski3, David S. Ebert3, Ahmad M. Abusalah4, Mohamed Yakout4, Mourad Ouzzani4, Shaun J. Grannis5
1Department of Statistics, Purdue University, West Lafayette, Indiana, USA
2Department of Mathematics, Xavier University, New Orleans, Louisiana, USA
3Department of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA
4Department of Computer Science, Purdue University, West Lafayette, Indiana, USA
5Regenstrief Institute, Indianapolis, Indiana, USA

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Tài liệu tham khảo

Burkom H: Development, adaptation, and assessment of alerting algorithms for biosurveillance. Johns Hopkins APL Technical Digest. 2003, 24 (4): 335-342.

Burkom H, Murphy S, Shmueli G: Automated time series forecasting for biosurveillance. Stat in Med. 2007, 26 (22): 4202-4218. 10.1002/sim.2835.

Reis B, Mandl K: Time series modeling for syndromic surveillance. BMC Med Inform Decis Mak. 2003, 3: 2-10.1186/1472-6947-3-2.

Hutwagner L, Thompson W, Seeman G, Treadwell T: The bioterrorism preparedness and response Early Aberration Reporting System (EARS). J Urban Health. 2003, 80: i89-i96.

Wallenstein S, Naus J: Scan statistics for temporal surveillance for biologic terrorism. MMWR Morb Mortal Wkly Rep. 2004, 53 Suppl: 74-78.

Brillman J, Burr T, Forslund D, Joyce E, Picard R, Umland E: Modeling emergency department visit patterns for infectious disease complaints: results and application to disease surveillance. BMC Med Inform Decis Mak. 2005, 5 (4): 1-14.

Dafni U, Tsiodras S, Panagiotakos D, Gkolfinopoulou K, Kouvatseas G, Tsourti Z, Saroglou G: Algorithm for statistical detection of peaks – syndromic surveillance system for the Athens 2004 olympic games. MMWR Morb Mortal Wkly Rep. 2004, 53: 86-94.

Kleinman K, Abrams A, Kulldorff M, Platt R: A model-adjusted space-time scan statistic with an application to syndromic surveillance. Epidemiology and Infection. 2005, 133 (03): 409-419. 10.1017/S0950268804003528.

Wong W, Moore A, Cooper G, Wagner M: Rule-based anomaly pattern detection for detecting disease outbreaks. Proc. 18th Nat. Conf. on Artificial Intelligence. 1999, Menlo Park, CA; Cambridge, MA; London; AAAI Press; MIT Press, 2002: 217-223.

Burr T, Graves T, Klamann R, Michalak S, Picard R, Hengartner N: Accounting for seasonal patterns in syndromic surveillance data for outbreak detection. BMC Med Inform Decis Mak. 2006, 6: 40-10.1186/1472-6947-6-40.

Stroup D, Wharton M, Kafadar K, Dean A: Evaluation of a method for detecting aberrations in public health surveillance data. Am J Epidemiol. 1993, 137 (3): 373-380.

Hutwagner L, Maloney E, Bean N, Slutsker L, Martin S: Using laboratory-based surveillance data for prevention: an algorithm for detecting salmonella outbreaks. Emerg Infect Dis. 1997, 3: 395-400.

Farrington C, Andrews N, Beale A, Catchpole M: A statistical algorithm for the early detection of outbreaks of infectious disease. J R Slat Soc Ser A Stat Soc. 1996, 159 (3): 547-563. 10.2307/2983331.

Stern L, Lightfoot D: Automated outbreak detection: a quantitative retrospective analysis. Epidemiol Infect. 1999, 122 (01): 103-110. 10.1017/S0950268898001939.

Simonsen L: The impact of influenza epidemics on mortality: introducing a severity index. American Journal of Public Health. 1997, 87 (12): 1944-1950. 10.2105/AJPH.87.12.1944.

Hutwagner L, Browne T, Seeman G, Fleischauer A: Comparing aberration detection methods with simulated data. Emerg Infect Dis. 2005, 11 (2): 314-316.

Grannis S, Wade M, Gibson J, Overhage J: The Indiana public health emergency surveillance system: Ongoing progress, early findings, and future directions. AMIA Annu Symp Proc. 2006, 304-308.

Olszewski R: Bayesian classification of triage diagnoses for the early detection of epidemics. Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference. 2003, Menlo Park, CA: AAAI, 412-7.

Cleveland R, Cleveland W, McRae J, Terpenning I: STL: A seasonal-trend decomposition procedure based on loess (with discussion). J Offic Stat. 1990, 6: 3-73.

Franz D, Jahrling P, Friedlander A, McClain D, Hoover D, Bryne W, Pavlin J, Christopher G, Eitzen E: Clinical recognition and management of patients exposed to biological warfare agents. JAMA. 1997, 278 (5): 399-411. 10.1001/jama.278.5.399.

R Development Core Team: R: A language and environment for statistical computing. 2005, R Foundation for Statistical Computing, Vienna, Austria, [ http://www.R-project.org ]

Cleveland W, Devlin S: Locally weighted regression: an approach to regression analysis by local fitting. JASA. 1988, 83 (403): 596-610.

Johnson NL, Kotz S, Kemp A: Univariate Discrete Distributions. 1992, New York: Wiley

Jackson M, Baer A, Painter I, Duchin J: A simulation study comparing aberration detection algorithms for syndromic surveillance. BMC Med Inform Decis Mak. 2007, 7: 6-6. 10.1186/1472-6947-7-6.

Mandl K, Reis B, Cassa C: Measuring outbreak-detection performance by using controlled feature set simulations. MMWR Morb Mortal Wkly Rep. 2004, 53: 130-6.

Sartwell P: The distribution of incubation periods of infectious disease. Am J Hyg. 1950, 51 (3): 310-318.

Meselson M, Guillemin J, Hugh-Jones M, Langmuir A, Popova I, Shelokov A, Yampolskaya O: The Sverdlovsk anthrax outbreak of 1979. Science. 1994, 266 (5188): 1202-1208. 10.1126/science.7973702.

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BMC Medical Informatics and Decision Making

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