Methods for monitoring influenza surveillance data

International Journal of Epidemiology

Volumn 35, Issue 5, 2006, Pages 1314-1321

  Cowling, Benjamin J ^a   Wong, Irene O L ^a   Ho, Lai Ming ^a   Riley, Steven ^a   Leung, Gabriel M ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Detection; Influenza; Population surveillance; Public health

Indexed keywords

ALGORITHM; DETECTION METHOD; EPIDEMIOLOGY; HEALTH MONITORING; INFLUENZA; PUBLIC HEALTH; REGRESSION ANALYSIS; SUBTROPICAL REGION; TIME SERIES;

ARTICLE; AUTOMATION; CALCULATION; CONTROLLED STUDY; DISEASE SURVEILLANCE; HONG KONG; HUMAN; INFLUENZA; INTERMETHOD COMPARISON; METHODOLOGY; MONITORING; PRIORITY JOURNAL; REGRESSION ANALYSIS; SEASONAL VARIATION; SENSITIVITY AND SPECIFICITY; TIME SERIES ANALYSIS; UNITED STATES;

ALGORITHMS; DISEASE OUTBREAKS; HONG KONG; HUMANS; INFLUENZA, HUMAN; LINEAR MODELS; PUBLIC HEALTH; SEASONS; SENTINEL SURVEILLANCE; UNITED STATES;

ASIA; CHINA; EURASIA; FAR EAST; HONG KONG; NORTH AMERICA; UNITED STATES;

EID: 33750223871     PISSN: 03005771     EISSN: 14643685     Source Type: Journal    
DOI: 10.1093/ije/dyl162     Document Type: Article

References (28)

1. Yap FHY, Ho PL, Lam KF, Cham PKS, Cheng YH, Peiris JSM. Excess hospital admissions for pneumonia, chronic obstructive pulmonary disease, and heart failure during influenza seasons in Hong Kong. J Med Virol 2004;73:617-23.
2. Chiu SS, Lau YL, Chan KH, Wong WH, Peiris JS. Influenza-related hospitalisations among children in Hong Kong. N Engl J Med 2002;347:2097-103.
3. Quigley C, Sopwith W, Ashton M. How to deal with influenza: Worthwhile surveillance system is in action. BMJ 2004;329:1239.
4. Stroup DF, Williamson GD, Herndon JL, Karon JM. Detection of aberrations in the occurrence of notifiable diseases surveillance data. Stat Med 1989;8:323-29; discussion 31-32.
5. 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.
6. Farrington CP, Andrews NJ, Beale AD, Catchpole MA. A statistical algorithm for the early detection of outbreaks of infectious disease. J R Stat Soc Ser A Stat Soc 1996;159:547-63.
7. Costagliola D, Flahault A, Galinec D, Garnerin P, Menares J, Valleron AJ. A routine tool for detection and assessment of epidemics of influenza-like syndromes in France. Am J Public Health 1991;81:97-99.
8. Stern L, Lightfoot D. Automated outbreak detection: A quantitative retrospective analysis. Epidemiol Infect 1999;122:103-10.
9. Widdowson MA, Bosman A, van Straten E et al. Automated, laboratory-based system using the Internet for disease outbreak detection, the Netherlands. Emerg Infect Dis 2003;9:1046-52.
10. O'Brien SJ, Christie P. Do CuSums have a role in routine communicable disease surveillance? Public Health 1997;111: 255-58.
11. Hutwagner LC, Browne T, Seeman GM, Fleischauer AT. Comparison of aberration detection methods using simulated data. Emerg Infect Dis 2005;11:314-16.
12. Hutwagner LC, Thompson W, Seeman GM, Treadwell T. The bioterrorism preparedness and response early aberration reporting system (EARS). J Urban Health 2003;80(2 suppl. 1):i89-96.
13. Hashimoto S, Murakami Y, Taniguchi K, Nagai M. Detection of epidemics in their early stage through infectious disease surveillance. Int J Epidemiol 2000;29:905-10.
14. Watts CG, Andrews RM, Druce JD, Kelly HA. Establishing thresholds for influenza surveillance in Victoria. Aust N Z J Public Health 2003;27:409-12.
15. Reis BY, Pagano M, Mandl KD. Using temporal context to improve biosurveillance. Proc Natl Acad Sci USA 2003;100:1961-65.
16. Serfling RE. Methods for current statistical analysis of excess pneumonia-influenza deaths. Public Health Rep 1963;78:494-506.
17. Chatfield C. Time-Series Forecasting. Boca Raton: Chapman & Hall, 2001.
18. West M, Harrison J. Bayesian Forecasting and Dynamic Models. 2nd edn. New York: Springer, 1997.
19. Durbin J, Koopman SJ. Time Series Analysis by State Space Methods. New York: Oxford University Press, 2001.
20. Box GEP, Luceno A. Statistical Control by Monitoring and Feedback Adjustment. New York: Wiley, 1997.
21. Centre for Health Protection. Sentinel Surveillance. Available at: http://www.chp.gov.hk/dns_submenu.asp?id=44&pid=26&lang=en (Accessed October 1, 2005).
22. Centers for Disease Control and Prevention. United States Surveillance Data: 1997-1998 through 2002-2003 Seasons. AvHilable at: http://www.cdc.gov/flu/weekly/ussurvdata.htm (Accessed October 1, 2005).
23. Montgomery DC. Introduction to Statistical Quality Control. Hoboken: John Wiley & Sons, 2005.
24. Mandl KD, Overhage JM, Wagner MM et al. Implementing syndromic surveillance: A practical guide informed by the early experience. J Am Med Inform Assoc 2004;11:141-50.
25. Kleinman K, Abrams A. Comparing aberration detection systems: Metrics for evaluation through simulation. In Program and abstracts of the fifth International, Interdisciplinary Conference on Geomedical Systems (GEOMED) Cambridge, UK, 2005.
26. R Development Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing, 2005. ISBN 3-900051-07-0. Available at: http://www.R-project.org.
27. Wong CM, Chan KP, Hedley AJ, Peiris JS. Influenza-associated mortality in Hong Kong. Clin Infect Dis 2004;39:1611-17.
28. Wong CM, Yang L, Chan KP et al. Influenza-associated hospitalization in a subtropical city. PLoS Med 2006;3:e121.