An automated, broad-based, near real-time public health surveillance system using presentations to hospital Emergency Departments in New South Wales, Australia

BMC Public Health

Volumn 5, Issue , 2005, Pages

  Muscatello, David J ^a   Churches, Tim ^a   Kaldor, Jill ^a   Zheng, Wei ^a   Chiu, Clayton ^a   Correll, Patricia ^b   Jorm, Louisa ^a  

^a CENTRE FOR EPIDEMIOLOGY AND RESEARCH   (Australia)

^b Australian Centre for Asthma Monitoring   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; AUSTRALIA; AUTOMATION; DATA BASE; DEMOGRAPHY; EMERGENCY HEALTH SERVICE; EMERGENCY WARD; HEALTH SURVEY; INFORMATION SYSTEM; NURSING ASSESSMENT; STATISTICAL SIGNIFICANCE; BAYES THEOREM; COMMUNICABLE DISEASES; HEALTH; HISTORY; HOSPITAL INFORMATION SYSTEM; HUMAN; INTERNET; MEDICAL INFORMATICS; MEDICAL RECORD; PROCEDURES; SYNDROME; SYSTEM ANALYSIS; UTILIZATION;

ANNIVERSARIES AND SPECIAL EVENTS; BAYES THEOREM; COMMUNICABLE DISEASES; DATABASES AS TOPIC; EMERGENCY SERVICE, HOSPITAL; HOSPITAL INFORMATION SYSTEMS; HUMANS; INTERNET; MEDICAL RECORD LINKAGE; NEW SOUTH WALES; POPULATION SURVEILLANCE; PUBLIC HEALTH INFORMATICS; SYNDROME; SYSTEMS INTEGRATION; TRIAGE; URBAN HEALTH;

EID: 32344444807     PISSN: 14712458     EISSN: 14712458     Source Type: Journal    
DOI: 10.1186/1471-2458-5-141     Document Type: Article

References (31)

1. United States General Accounting Office: Bioterrorism: Public health response to anthrax incidents of 2001. GAO-04-152. Washington 2003.
2. Kaufmann AF, Meltzer MI, Schmid GP: The economic impact of a bioterrorist attack: Are prevention and postattack intervention programs justifiable? Emerg Infect Dis 1997, 2:83-94.
3. Campbell A: The SARS Commission Interim Report: SARS and public health in Ontario Toronto: Ontario Ministry of Health and Long-Term Care; 2004.
4. Gesteland PH, Gardner RM, Tsui FC, Espino JU, Rolfs RT, James BC, Chapman WW, Moore AW, Wagner MM: Automated syndromic surveillance for the 2002 Winter Olympics. JAMIA 2003, 10:547-554.
5. Heffernan R, Mostashari F, Das D, Karpati A, Kulldorff M, Weiss D: Syndromic Surveillance in Public Health Practice, New York City. Emerg Infect Dis 2004, 10:258-264.
6. Lombardo J, Burkom H, Elbert E, Magruder S, Lewis SH, Loschen W, Sari J, Sniegoski C, Wojcik R, Pavlin J: A systems overview of the Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE II). J Urban Health 2003, 80(2 suppl. 1):i32-i42.
7. Jorm LR, Thackway SV, Churches TR, Hills MW: Watching the Games: public health surveillance for the Sydney 2000 Olympic Games. J Epidemiol Community Health 2003, 57:102-108.
8. Australian Bureau of Statistics: Short-term visitor arrivals to Australia, Preliminary (catalogue 3401.0.55.001) Canberra: Australian Bureau of Statistics; 2005.
9. Australian Bureau of Statistics: New South Wales in Focus (catalogue 1338.1) Canberra: Australian Bureau of Statistics; 2005.
10. HAS Solutions Pty Ltd: Emergency Department Information System (EDIS), versions 6 and 9 [computer program] Pymble (Australia); 2003.
11. Health Level Seven Australia: Health Level Seven V2.3.1. [http://www.hl7.org.au/HL7-V2-Resrcs.htm].
12. Microsoft Corporation: Microsoft Windows [computer program] Redmond (USA); 2003.
13. Open Source Initiative Board of Directors: Open Source Initiative. [http://www.opensource.org].
14. PostgreSQL [computer program] [http://www.postgresql.org].
15. Python [computer programming language] [http://www.python.org].
16. Centre for Epidemiology and Research NSW Department of Health: Open source tools for population health epidemiology. [http://www.health.nsw.gov.au/ public-health/epi/open_source_tools.html].
17. Mitchell T: Machine Learning New York: McGraw Hill; 1997.
18. Espino JU, Wagner M, Szczepaniak C, Tsui FC, Su H, Olszewski R, Liu Z, Chapman W, Zeng X, Ma L, Lu Z, Dara J: Removing a barrier to computer-based outbreak and disease surveillance - the RODS Open Source Project. MMWR Morb Mortal Wkly Rep 2004, 53(Suppl):32-9.
19. Lewis DD: Naive (Bayes) at forty: The independence assumption in information retrieval. ECML'98, The Tenth European Conference on Machine Learning 1998:4-15.
20. McCallum AK: Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering. [http://www.cs.cmu.edu/∼mccallum/ bow].
21. Browne AC, Divita G, Aronson AR, McCray AT: UMLS language and vocabulary tools. AMIA Annu Symp Proc 2003:798.
22. Hutwagner LC, Maloney EK, Bean NH, Slutsker L, Martin SM: Using laboratory-based surveillance data for prevention: an algorithm for detecting Salmonella outbreaks. Emerg Infect Dis 1997, 3:395-400.
23. Lucas JM: Counted data cusums. Technometrics 1985, 27:129-44.
24. Chatfield C: The analysis of time series: an introduction Boca Raton, Florida: CRC Press; 2004.
25. SAS version 8 [computer program] Cary (USA): SAS Institute; 2001.
26. van Rossum G, Drake FL, eds: Python Reference Manual [http://www.python. org/doc/].
27. R Development Core Team: R: A language and environment for statistical computing. [http://www.r-project.org].
28. Armitage P, Berry G, Matthews JNS: Statistical methods in medical research Fourth edition. Oxford: Blackwell Science; 2002.
29. Communicable Diseases Branch NSW Department of Health: Communicable diseases report, NSW, for October and November 2003. NSW Public Health Bull 2004, 15:25-30.
30. Hutwagner L, Browne T, Seeman GM, Fleischauer AT: Comparing aberration detection methods with simulated data. Emerg Infect Dis 2005, 11:314-316.
31. Olson KL, Bonetti M, Pagano M, Mandl KD: Real time spatial cluster detection using interpoint distances among precise patient locations. BMC Med Inform Decis Mak 2005, 5:19.