Influenza surveillance in Europe: Establishing epidemic thresholds by the Moving Epidemic Method

Influenza and other Respiratory Viruses

Volumn 7, Issue 4, 2013, Pages 546-558

  Vega, Tomás ^a   Lozano, Jose Eugenio ^a   Meerhoff, Tamara ^b   Snacken, René ^c   Mott, Joshua ^d   Ortiz de Lejarazu, Raul ^e   Nunes, Baltazar ^f  

^a Castile and León   (Spain)

^b RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^c EUROPEAN CENTRE FOR DISEASE PREVENTION AND CONTROL ECDC   (Sweden)

^d WHO REGIONAL OFFICE FOR EUROPE   (Denmark)

^e UNIVERSITY OF VALLADOLID   (Spain)

^f NATIONAL INSTITUTE OF HEALTH DR RICARDO JORGE   (Portugal)

Author keywords

Epidemiology; Influenza; Modelling; Surveillance

Indexed keywords

ARTICLE; DISEASE SURVEILLANCE; EUROPE; FLU LIKE SYNDROME; HUMAN; INFLUENZA; MAJOR CLINICAL STUDY; MOVING EPIDEMIC METHOD; PRIORITY JOURNAL; PROCEDURES; RESPIRATORY TRACT INFECTION; SENSITIVITY ANALYSIS;

EPIDEMIOLOGICAL MONITORING; EUROPE; HUMANS; INFLUENZA, HUMAN; SENSITIVITY AND SPECIFICITY; TIME FACTORS;

EID: 84879080382     PISSN: 17502640     EISSN: 17502659     Source Type: Journal    
DOI: 10.1111/j.1750-2659.2012.00422.x     Document Type: Article

References (42)

1. Schanzer DL, Langley JM, Tam TW. Co-morbidities associated with influenza-attributed mortality, 1994-2000, Canada. Vaccine 2008; 26: 497-403.
2. Viboud C, Miller M, Olson D, Osterholm M, Simonsen L. Preliminary estimates of mortality and years of life lost associated with the 2009 A/H1N1 pandemic in the US and comparison with past influenza seasons. PLoS Currents Influenza 2010; 20: RRN1153.
3. Nicholson KG, Wood JM, Zambon M. Influenza. Lancet 2003; 362:1733-1745.
4. Turner D, Wailoo A, Nicholson K, Cooper N, Sutton A, Abrams K. Systematic review and economic decision modelling for the prevention and treatment of influenza A and B. Health Technol Assess 2003; 7:1-170, iii-iv, xi-xiii.
5. Szucs T. The socio-economic burden of influenza. J Antimicrob Chemother 1999; 44(Suppl. B):11-15.
6. Molinari NA, Ortega-Sanchez IR, Messonnier ML et al. The annual impact of seasonal influenza in the US: measuring disease burden and cost. Vaccine 2007; 25: 5086-5096.
7. Newall AT, Scuffham PA. Influenza-related disease: the cost to the Australian healthcare system. Vaccine 2008; 26: 6818-6823.
8. Snacken R. Weekly Monitoring of Influenza Impact in Belgium (1993-1995). Pharmacoeconomics 1996; 9(Suppl. 3):34-37.
9. Claas ECJ, de Jong JC, van Beek R Rimmelzwaan GF, Osterhaus ADME. Human influenza virus A/HongKong/156/97 (H5N1) infection. Vaccine 1998; 16:977-978.
10. World Health Organisation. World now at the start of 2009 influenza pandemic, (http://www.who.int/mediacentre/news/statements/2009/h1n1_pandemic_phase6_20090611/en/index.html). Accessed 4 August 2010.
11. Lofgren E, Fefferman NH, Naumov YN et al. Influenza seasonality: underlying causes and modeling theories. J Virol 2007; 81:5429-5436.
12. McGeer AJ. Diagnostic testing or empirical therapy for patients hospitalized with suspected influenza: what to do?Clin Infect Dis 2009; 48 (Suppl. 1): S14-S19.
13. Serfling RE. Methods for current statistical analysis of excess pneumonia-influenza deaths. Public Health Report 1963; 78:494-506.
14. Stroup DF, Williamson GD, Herndon JL, Karon J. Detection of aberrations in the occurrence of notifiable diseases surveillance data. Stat Med 1989; 8:323-332.
15. West M, Harrison J. Bayesian Forecasting and Dynamic Models. 2nd edn. New York, NY: Springer, 1997, 700.
16. Pelat C, Boëlle PY, Cowling BJ et al. Online detection and quantification of epidemics. BMC Med Inform Decis Mak 2007; 7:29.
17. Tsui FC, Wagner MM, Dato V, Chang Cch. Value of ICD-9-coded chief complaints for detection of epidemics. J Am Med Inform Assoc 2002; 9(Suppl.):S41-S47.
18. Quenel P, Dab W, Hannoun C, Cohen JM. Sensitivity, specificity and predictive values of health service based indicators for the surveillance of influenza A epidemics. Int J Epidemiol 1994; 23:849-855.
19. Simonsen L, Reichert TA, Viboud C, Blackwelder WC, Taylor RJ, Miller MA. Impact of influenza vaccination on seasonal mortality in the US elderly population. Arch Intern Med 2005; 165:265-272.
20. CDC. Update: influenza activity - United States, August 30, 2009--March 27, 2010, and composition of the 2010-11 influenza vaccine. MMWR 2010; 59:423-430.
21. Cowling BJ, Wong IOL, Ho LM, Riley S, Leung GM. Methods for monitoring influenza surveillance data. Int J Epidemiol 2006; 35:1314-1321.
22. Unkel S, Farrington CP, Garthwaite PH, Robertson C, Andrews N. Statistical Methods for the prospective detection of infectious disease outbreaks: a review. (http://stats-www.open.ac.uk/TechnicalReports/OutbreakReviewPaper.pdf). Accessed 20 January 2011
23. PAHO-CDC. Generic Protocol for Influenza Surveillance. Washington, DC: PAHO Headquarters. 15 December 2006. (http://www.paho.org/English/AD/DPC/CD/flu-snl-gpis.pdf). Accessed 28 October 2010
24. Fleming DM, Zambon M, Bartelds AIM, de Jong JC. The duration and magnitude of influenza epidemics: a study of surveillance data from sentinel practices in England, Wales and the Netherlands. Eur J Epidemiol 1999; 15:467-473.
25. Uphoff H, Cohen J-M, Fleming D, Noone A. Harmonisation of national influenza surveillance morbidity data from EISS: a simple index. Eurosurveillance 2003; 8:156-164.
26. Vega Alonso T, Lozano Alonso JE, Ortiz de Lejarazu R, Gutiérrez Pérez MS. Modelling influenza epidemic-can we detect the beginning and predict the intensity and duration?Int Congr Ser 2004; 1263:281-283.
27. Vega T, Lozano JE, Paget J et al. Validation of the moving epidemic method for detecting influenza epidemics in Europe. in: Proceedings of the International Conference on Options for the Control of Influenza VI. London: International Medical Press Ltd, 2008, 657.
28. Vega Alonso AT, Zurriaga Llorens O, Galmés Truyols A et al. Guide to the principles and methods of health sentinel networks in Spain. Gac Sanit 2006; 20(Suppl. 3):52-60.
29. Aguilera JF, Paget J, Manuguerra JC. Descriptive survey of influenza surveillance systems in Europe final report. (http://www.euroflu.org/html/reports.html). Accessed 28 October 2010.
30. Bowman AW, Azzalini A. Applied Smoothing Techniques for Data Analysis: the Kernel Approach with S-Plus Illustrations, (Oxford Statistical Science Series). Oxford, GA: Oxford University Press, 1997, 208.
31. Hurvich CM, Simonoff JS, Tsai C. Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion. J R Stat Soc Ser B Stat Methodol 1998; 60:271-293.
32. Hashimoto S, Murakami Y, Taniguchi K, Nagai M. Detection of epidemics in their early stage through infectious disease surveillance. Int J Epidemiol 2000; 29:905-910.
33. Murakami Y, Hashimoto S, Taniguchi K, Osaka K, Fuchigami H, Nagai M. Evaluation of a method for issuing warnins pre-epidemics and epidemics in Japan by infectious diseases surveillance. Int J Epidemiol 2004; 14:33-40.
34. Aguilera JF, Paget WJ, van der Velden J. Development of a protocol to evaluate the quality of clinical influenza data collected by sentinel practitioners in Europe. Eurosurveillance 2002; 7:158-160.
35. Keramarou M, Cottrell S, Evans MR et al. Two waves of pandemic influenza A(H1N1)2009 in Wales - the possible impact of media coverage on consultation rates, April - December 2009. Eurosurveillance 2011; 16.pii:19772.
36. WHO EURO. Situation update in the European Region: overview of influenza surveillance data week 40/2009 to week 07/2010. (http://www.euro.who.int/__data/assets/pdf_file/0003/91839/E93581.pdf). Accessed 11 December 2010.
37. WHO. Global Alert and Response (GAR) Pandemic (H1N1) 2009 - update 112. Weekly update. (http://www.who.int/csr/don/2010_08_06/en/index.html). Accessed 6 August 2010.
38. Casalegno JS, Ottmann M, Duchamp MB et al. Rhinoviruses delayed the circulation of the pandemic influenza A (H1N1) 2009 virus in France. Clin Microbiol Infect 2010; 16:326-329.
39. Fleming DM, Elliot AJ. Lessons from 40years' surveillance of influenza in England and Wales. Epidemiol Infect 2008; 136:866-875.
40. Sebastiani P, Mandl K. Biosurveillance and outbreak detection; in Kargupta H, Joshi A, Sivakumar K, Yesha Y (eds): Data Mining: next Generation Challenges and Future Directions. Cambridge: MIT Press, 2004. 558.
41. Choi K, Thacker SB. An evaluation of influenza mortality surveillance, 1962-1979. I. Time series forecasts of expected pneumonia and influenza deaths. Am J Epidemiol 1981; 113:215-226.
42. Aguilera JF, Paget WJ, Mosnier A et al. Heterogeneous case definitions used for the surveillance of influenza in Europe. Eur J Epidemiol 2003; 18:751-754.