A multivariate Bayesian scan statistic for early event detection and characterization

Machine Learning

Volumn 79, Issue 3, 2010, Pages 261-282

  Neill, Daniel B ^a   Cooper, Gregory F ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

Biosurveillance; Event characterization; Event detection; Scan statistics

Indexed keywords

BAYESIAN; BAYESIAN FRAMEWORKS; BIOSURVEILLANCE; DISEASE SURVEILLANCE; EARLY EVENT DETECTION; EVENT DETECTION; EXPERT KNOWLEDGE; HISTORICAL DATA; INTEGRATING INFORMATION; MULTIPLE DATA STREAMS; MULTIPLE STREAMS; PENNSYLVANIA; POISSON MODEL; POSTERIOR PROBABILITY; PRIOR INFORMATION; PRIOR KNOWLEDGE; RELEVANT PATTERNS; SCAN STATISTICS; SPACE-TIME REGION; TIME-SERIES DATA; TRAINING EXAMPLE;

BAYESIAN NETWORKS; LEARNING ALGORITHMS; TIME SERIES; VISUALIZATION;

DETECTORS;

EID: 77953023188     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-009-5144-4     Document Type: Article

References (33)

1. D. L. Buckeridge H. S. Burkom A. W. Moore J. A. Pavlin P. N. Cutchis W. R. Hogan 2004 Evaluation of syndromic surveillance systems: development of an epidemic simulation model Morbidity and Mortality Weekly Report 53 Supplement on Syndromic Surveillance 137 143
2. H. S. Burkom 2003 Biosurveillance applying scan statistics with multiple, disparate data sources Journal of Urban Health 80 2 Suppl. 1 i57 i65
3. H. S. Burkom S. P. Murphy J. Coberly K. Hurt-Mullen 2005 Public health monitoring tools for multiple data streams Morbidity and Mortality Weekly Report 54 Supplement on Syndromic Surveillance 55 62
4. D. Clayton J. Kaldor 1987 Empirical Bayes estimates of age-standardized relative risks for use in disease mapping Biometrics 43 671 681 10.2307/2532003
5. Cooper, G. F., Dash, D. H., Levander, J. D., Wong, W.-K., Hogan, W. R., & Wagner, M. M. (2004). Bayesian biosurveillance of disease outbreaks. In Proc. conference on uncertainty in artificial intelligence.
6. G. F. Cooper J. N. Dowling J. D. Levander P. Sutovsky 2007 A Bayesian algorithm for detecting CDC Category A outbreak diseases from emergency department chief complaints Advances in Disease Surveillance 2 45
7. L. Duczmal R. Assuncao 2004 A simulated annealing strategy for the detection of arbitrary shaped spatial clusters Computational Statistics and Data Analysis 45 269 286 05373951 10.1016/S0167-9473(02)00302-X 2045632 (Pubitemid 38204903)
8. Jiang, X., Neill, D. B., & Cooper, G. F. (2008). A Bayesian network model for spatial event surveillance. (Tech. rep.). University of Pittsburgh, Department of Biomedical Informatics.
9. K. Kleinman A. Abrams M. Kulldorff R. Platt 2005 A model-adjusted space-time scan statistic with an application to syndromic surveillance Epidemiology and Infection 133 3 409 419 10.1017/S0950268804003528 (Pubitemid 40867677)
10. M. Kulldorff 1997 A spatial scan statistic Communications in Statistics: Theory and Methods 26 6 1481 1496 0920.62116 10.1080/03610929708831995 1456844
11. M. Kulldorff 2001 Prospective time-periodic geographical disease surveillance using a scan statistic Journal of the Royal Statistical Society A 164 61 72 1002.62517 10.1111/1467-985X.00186 1819022
12. M. Kulldorff N. Nagarwalla 1995 Spatial disease clusters: detection and inference Statistics in Medicine 14 799 810 10.1002/sim.4780140809
13. M. Kulldorff W. Athas E. Feuer B. Miller C. Key 1998 Evaluating cluster alarms: a space-time scan statistic and cluster alarms in Los Alamos American Journal of Public Health 88 1377 1380 10.2105/AJPH.88.9.1377
14. M. Kulldorff R. Heffernan J. Hartman R. Assuncao F. Mostashari 2005 A space-time permutation scan statistic for the early detection of disease outbreaks PLoS Medicine 2 3 e59 10.1371/journal.pmed.0020059 (Pubitemid 40629468)
15. M. Kulldorff L. Huang L. Pickle L. Duczmal 2006 An elliptic spatial scan statistic Statistics in Medicine 25 3929 3943 10.1002/sim.2490 2297401 (Pubitemid 44718180)
16. M. Kulldorff F. Mostashari L. Duczmal W. K. Yih K. Kleinman R. Platt 2007 Multivariate scan statistics for disease surveillance Statistics in Medicine 26 1824 1833 10.1002/sim.2818 2359195 (Pubitemid 46455639)
17. Mollié, A. (1999). Bayesian and empirical Bayes approaches to disease mapping. In A. B. Lawson, A. Biggeri, D. Böhning, E. Lesaffre, J.-F. Viel, & R. Bertollini (Eds.) Disease mapping and risk assessment for public health.
18. Neill, D. B. (2006). Detection of spatial and spatio-temporal clusters (Tech. rep. CMU-CS-06-142). Ph.D. thesis, Carnegie Mellon University, Department of Computer Science.
19. D. B. Neill 2007 An empirical comparison of spatial scan statistics for outbreak detection Advances in Disease Surveillance 4 259
20. D. B. Neill 2007 Incorporating learning into disease surveillance systems Advances in Disease Surveillance 4 107
21. D. B. Neill J. Lingwall 2007 A nonparametric scan statistic for multivariate disease surveillance Advances in Disease Surveillance 4 106
22. Neill, D. B., & Moore, A. W. (2004). Rapid detection of significant spatial clusters. In Proc. 10th ACM SIGKDD conf. on knowledge discovery and data mining (pp. 256-265).
23. Neill, D. B., & Moore, A. W. (2005). Anomalous spatial cluster detection. In Proc. KDD 2005 workshop on data mining methods for anomaly detection (pp. 41-44).
24. D. B. Neill M. R. Sabhnani 2007 A robust expectation-based spatial scan statistic Advances in Disease Surveillance 2 61
25. D. B. Neill A. W. Moore M. R. Sabhnani 2005 Detecting elongated disease clusters Morbidity and Mortality Weekly Report 54 Supplement on Syndromic Surveillance 197
26. Neill, D. B., Moore, A. W., Sabhnani, M. R., & Daniel, K. (2005b). Detection of emerging space-time clusters. In Proc. 11th ACM SIGKDD intl. conf. on knowledge discovery and data mining.
27. Neill, D. B., Moore, A. W., & Cooper, G. F. (2006). A Bayesian spatial scan statistic. In Advances in neural information processing systems 18 (pp. 1003-1010).
28. G. P. Patil C. Taillie 2004 Upper level set scan statistic for detecting arbitrarily shaped hotspots Envir. Ecol. Stat. 11 183 197 10.1023/B:EEST. 0000027208.48919.7e 2086394 (Pubitemid 38865594)
29. B. Y. Reis I. S. Kohane K. D. Mandl 2007 An epidemiological network model for disease outbreak detection PLoS Medicine 4 210 10.1371/journal.pmed.0040210 (Pubitemid 46998620)
30. Sabhnani, M. R., Neill, D. B., Moore, A. W., Tsui, F.-C., Wagner, M. M., & Espino, J. U. (2005). Detecting anomalous clusters in pharmacy retail data. In Proc. KDD 2005 workshop on data mining methods for anomaly detection (pp. 58-61).
31. T. Tango K. Takahashi 2005 A flexibly shaped spatial scan statistic for detecting clusters International Journal of Health Geographics 4 11 10.1186/1476-072X-4-11 (Pubitemid 41363828)
32. M. M. Wagner F.-C. Tsui J. U. Espino W. Hogan J. Hutman J. Hirsch D. B. Neill A. W. Moore G. Parks C. Lewis R. Aller 2004 A national retail data monitor for public health surveillance Morbidity and Mortality Weekly Report 53 Supplement on Syndromic Surveillance 40 42
33. G. L. Wallstrom M. M. Wagner W. R. Hogan 2005 High-fidelity injection detectability experiments: a tool for evaluation of syndromic surveillance systems Morbidity and Mortality Weekly Report 54 Supplement on Syndromic Surveillance 85 91