A simulation study comparing aberration detection algorithms for syndromic surveillance

Author:

Jackson Michael L,Baer Atar,Painter Ian,Duchin Jeff

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Reference27 articles.

1. Henning KJ: Appendix B: Syndromic Surveillance. Institute of Medicine, 2003. Microbial Threats to Health: Emergence, Detection, and Response. Edited by: Hamburg MA, Lederberg J. 2003, Washington, DC, The National Academies Press, 309-350.

2. Hutwagner L, Thompson W, Seeman GM, Treadwell T: The bioterrorism preparedness and response Early Aberration Reporting System (EARS). J Urban Health. 2003, 80: i89-96.

3. Rossi G, Lampugnani L, Marchi M: An approximate CUSUM procedure for surveillance of health events. Stat Med. 1999, 18: 2111-2122. 10.1002/(SICI)1097-0258(19990830)18:16<2111::AID-SIM171>3.0.CO;2-Q.

4. Kleinman KP, Abrams AM, Kulldorff M, Platt R: A model-adjusted space-time scan statistic with an application to syndromic surveillance. Epidemiol Infect. 2005, 133: 409-419. 10.1017/S0950268804003528.

5. Kulldorff M, Heffernan R, Hartman J, Assuncao R, Mostashari F: A space-time permutation scan statistic for disease outbreak detection. PLoS Med. 2005, 2: e59-10.1371/journal.pmed.0020059.

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