GeoSurveillance: Software for monitoring change in geographic patterns

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3044, Issue , 2004, Pages 1096-1106

  Rogerson, Peter ^a   Yamada, Ikuho ^a  

^a UNIVERSITY AT BUFFALO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

STATISTICAL PROCESS CONTROL;

CUMULATIVE SUMS; GEOGRAPHIC PATTERN; MONITORING CHANGE; TIME-PERIODS;

APPLICATION PROGRAMS;

EID: 35048828818     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24709-8_115     Document Type: Article

References (22)

1. Wetherill, G.W. and Brown, D.W.: Statistical Process Control: Theory and Practice. Chapman and Hall, New York (1991)
2. Montgomery, D.: Introduction to Statistical Quality Control. Wiley, New York (1996)
3. Siegmund, D.O.: Sequential Analysis: Test and Confidence Intervals. Springer-Verlag, New York (1985)
4. Rogerson, P.: Formulas for the Design of CUSUM Quality Control Charts. Submitted for publication (2004).
5. Rossi, G., Lampugnani, L., and Marchi, M.: An Approximate Cusum Procedure for Surveillance of Health Events. Stat. Med. 18 (1999) 2111-2122
6. Lucas, J. M.: Counted Data Cusums. Technometrics 27 (1985) 129-144
7. White, C.H. and Keats, J.B.: ARLs and Higher Order Run Length Moments for Poisson CUSUM. J. Qual. Tech. 28 (1996) 363-369
8. Rogerson, P. and Yamada, I.: Approaches to Syndromic Surveillance When Data Consist of Small Regional Counts. Morbidity and Mortality Weekly Report (2004) forthcoming
9. Farrington, P, Beale, A.D.: The Detection of Outbreaks of Infectious Disease. In: Lierl, L., Cliff, A.D., Valleron, A., Farrington, P., and Bull, M. (eds.): Geomed '97. BG Teub-ner, Stuttgart (1999)
10. Kleinman, K., Lazarus, R., Platt, R.: A Generalized Linear Mixed Models Approach for Detecting Incident Clusters of Disease: Biological Terrorism and Other Surveillance. Am. J. Epi. 156(2004)217-24
11. Kulldorff, M.: Prospective Time Periodic Geographical Disease Surveillance Using a Scan Statistic. J. Roy. Stat. Soc. A 164 (2001) 61-72
12. Lawson, A.: Statistical Methods in Spatial Epidemiology. Wiley, New York (2001)
13. Raubertas, R.F.: An Analysis of Disease Surveillance Data that Uses the Geographic Locations of the Reporting Units. Stat. Med. 8 (1989) 267-71
14. Rogerson, P.: Surveillance Systems for Monitoring the Development of Spatial Patterns. Stat. Med. 16(1997)2081-93
15. Rogerson P.: Monitoring Point Patterns for the Development of Space-Time Clusters. J. Roy. Stat. Soc. A 164 (2001) 87-96
16. Rogerson, P. and Yamada, I.: Monitoring Change in Spatial Patterns of Disease: Comparing Univariate and Multivariate Cumulative Sum Approaches. Stat. Med. (2004) forthcoming
17. Rogerson, P.: Geographic Surveillance of Crime Frequencies in Small Areas. In: Wang, F. (ed.): Geographical Information Systems and Crime Analysis. Idea Group Publishing, . Hershey, Pennsylvania (2004) forthcoming
18. Rogerson, P. and Sun, Y.: Spatial Monitoring of Geographic Patterns: an Application to Crime Analysis. Computers, Environment, and Urban Systems, 25/6 (2001) 539-56
19. Han, D. and Rogerson, P.: Application of a GIS-Based Statistical Method to Assess Spatio-temporal Changes in Breast Cancer Clustering in the Northeastern United States. In: Khan, P. (ed.): Geographic Information Systems and Health Applications. Idea Group Publishing, Hershey, Pennsylvania (2003) 114-38
20. Kulldorff, M., Feuer, E.J., Miller, B.A., and Freedman, L.S.: Breast Cancer Clusters in the United States: a Geographic Analysis. Am. J. Epi. 146 161-70
21. National Center for Health Statistics. Compressed Mortality File. CD-ROM Series 20 No. 1 A. Atlanta, GA: Centers for Disease Control and Prevention.
22. Hawkins, D.M. and Olwell, D.H.: Cumulative Sum Charts and Charting for Quality Improvement. Springer, New York, (1998)