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Pilot study to harmonize the reported influenza intensity levels within the Spanish Influenza Sentinel Surveillance System (SISSS) using the Moving Epidemic Method (MEM)

  • M. BANGERT (a1) (a2), H. GIL (a1) (a2), J. OLIVA (a3) (a4), C. DELGADO (a3) (a4), T. VEGA (a5), S. DE MATEO (a3) (a4), A. LARRAURI (a3) (a4) and the Epidemiology Working Group of the Spanish Influenza Sentinel Surveillance System...
Summary
SUMMARY

The intensity of annual Spanish influenza activity is currently estimated from historical data of the Spanish Influenza Sentinel Surveillance System (SISSS) using qualitative indicators from the European Influenza Surveillance Network. However, these indicators are subjective, based on qualitative comparison with historical data of influenza-like illness rates. This pilot study assesses the implementation of Moving Epidemic Method (MEM) intensity levels during the 2014–2015 influenza season within the 17 sentinel networks covered by SISSS, comparing them to historically reported indicators. Intensity levels reported and those obtained with MEM at the epidemic peak of the influenza wave, and at national and regional levels did not show statistical difference (P = 0·74, Wilcoxon signed-rank test), suggesting that the implementation of MEM would have limited disrupting effects on the dynamic of notification within the surveillance system. MEM allows objective influenza surveillance monitoring and standardization of criteria for comparing the intensity of influenza epidemics in regions in Spain. Following this pilot study, MEM has been adopted to harmonize the reporting of intensity levels of influenza activity in Spain, starting in the 2015–2016 season.

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Corresponding author
*Author for correspondence: Dr A. Larrauri, Centro Nacional de Epidemiología, Instituto de Salud Carlos III, Monforte de Lemos 5, 28029 Madrid. (Email: alarrauri@isciii.es)
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† These authors contributed equally to this work.
‡ Members of the Epidemiology Working Group of the SISSS are given in the Appendix.
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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

1. WW Thompson , Influenza-associated hospitalizations in the United States. Journal of the American Medical Association 2004; 292: 13331340.

3. H Nair , Global burden of respiratory infections due to seasonal influenza in young children: a systematic review and meta-analysis. Lancet 2011; 378: 19171930.

5. E Lofgren , Influenza seasonality: underlying causes and modeling theories. Journal of Virology 2007; 81: 54295436.

6. M Moorthy , Deviations in influenza seasonality: odd coincidence or obscure consequence? Clinical Microbiology and Infection 2012; 18: 955962.

8. T Vega , Influenza surveillance in Europe: establishing epidemic thresholds by the moving epidemic method. Influenza and Other Respiratory Viruses 2013; 7: 546558.

11. T Vega , Influenza surveillance in Europe: comparing intensity levels calculated using the moving epidemic method. Influenza and Other Respiratory Viruses 2015; 9: 234246.

12. HK Green , Harmonizing influenza primary-care surveillance in the United Kingdom: piloting two methods to assess the timing and intensity of the seasonal epidemic across several general practice-based surveillance schemes. Epidemiology and Infection 2015; 143: 112.

14. P Closas , E Coma , L Mendez . Sequential detection of influenza epidemics by the Kolmogorov-Smirnov test. BMC Medical Informatics and Decision Making 2012; 12: 112.

15. D Conesa , Bayesian hierarchical Poisson models with a hidden Markov structure for the detection of influenza epidemic outbreaks. Statistical Methods in Medical Research 2015; 24: 206223.

16. SH Steiner , Detecting the start of an influenza outbreak using exponentially weighted moving average charts. BMC Medical Informatics and Decision Making 2010; 10: 37.

17. HE Tillett , IL Spencer . Influenza surveillance in England and Wales using routine statistics. Development of ‘cusum’ graphs to compare 12 previous winters and to monitor the 1980/81 winter. Journal of Hygiene (London) 1982; 88: 8394.

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Epidemiology & Infection
  • ISSN: 0950-2688
  • EISSN: 1469-4409
  • URL: /core/journals/epidemiology-and-infection
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