Literature DB >> 27916023

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

M Bangert1, H Gil1, J Oliva2, C Delgado2, T Vega3, S DE Mateo2, A Larrauri2.   

Abstract

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.

Entities:  

Keywords:  Indicators; MEM; influenza; surveillance

Mesh:

Year:  2016        PMID: 27916023      PMCID: PMC9507735          DOI: 10.1017/S0950268816002727

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   4.434


  13 in total

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Journal:  Lancet       Date:  2011-11-10       Impact factor: 79.321

Review 2.  Influenza seasonality: underlying causes and modeling theories.

Authors:  Eric Lofgren; N H Fefferman; Y N Naumov; J Gorski; E N Naumova
Journal:  J Virol       Date:  2006-12-20       Impact factor: 5.103

3.  Bayesian hierarchical Poisson models with a hidden Markov structure for the detection of influenza epidemic outbreaks.

Authors:  D Conesa; M A Martínez-Beneito; R Amorós; A López-Quílez
Journal:  Stat Methods Med Res       Date:  2011-08-25       Impact factor: 3.021

4.  Characterisation of swabbing for virological analysis in the Spanish Influenza Sentinel Surveillance System during four influenza seasons in the period 2002-2006.

Authors:  A Larrauri; S de Mateo
Journal:  Euro Surveill       Date:  2007-05-01

Review 5.  Deviations in influenza seasonality: odd coincidence or obscure consequence?

Authors:  M Moorthy; D Castronovo; A Abraham; S Bhattacharyya; S Gradus; J Gorski; Y N Naumov; N H Fefferman; E N Naumova
Journal:  Clin Microbiol Infect       Date:  2012-10       Impact factor: 8.067

6.  Detecting the start of an influenza outbreak using exponentially weighted moving average charts.

Authors:  Stefan H Steiner; Kristina Grant; Michael Coory; Heath A Kelly
Journal:  BMC Med Inform Decis Mak       Date:  2010-06-29       Impact factor: 2.796

Review 7.  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.

Authors:  H K Green; A Charlett; J Moran-Gilad; D Fleming; H Durnall; D Rh Thomas; S Cottrell; B Smyth; C Kearns; A J Reynolds; G E Smith; A J Elliot; J Ellis; M Zambon; J M Watson; J McMenamin; R G Pebody
Journal:  Epidemiol Infect       Date:  2014-07-15       Impact factor: 4.434

8.  Influenza surveillance in Europe: comparing intensity levels calculated using the moving epidemic method.

Authors:  Tomás Vega; José E Lozano; Tamara Meerhoff; René Snacken; Julien Beauté; Pernille Jorgensen; Raúl Ortiz de Lejarazu; Lisa Domegan; Joël Mossong; Jens Nielsen; Rita Born; Amparo Larrauri; Caroline Brown
Journal:  Influenza Other Respir Viruses       Date:  2015-09       Impact factor: 4.380

9.  Influenza surveillance in Europe: establishing epidemic thresholds by the moving epidemic method.

Authors:  Tomás Vega; Jose Eugenio Lozano; Tamara Meerhoff; René Snacken; Joshua Mott; Raul Ortiz de Lejarazu; Baltazar Nunes
Journal:  Influenza Other Respir Viruses       Date:  2012-08-16       Impact factor: 4.380

10.  Sequential detection of influenza epidemics by the Kolmogorov-Smirnov test.

Authors:  Pau Closas; Ermengol Coma; Leonardo Méndez
Journal:  BMC Med Inform Decis Mak       Date:  2012-10-03       Impact factor: 2.796

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  5 in total

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Journal:  Eur J Clin Microbiol Infect Dis       Date:  2019-05-08       Impact factor: 3.267

2.  Evaluating oseltamivir prescriptions in Centers for Medicare and Medicaid Services medical claims records as an indicator of seasonal influenza in the United States.

Authors:  F Scott Dahlgren; David K Shay; Hector S Izurieta; Richard A Forshee; Michael Wernecke; Yoganand Chillarige; Yun Lu; Jeffrey A Kelman; Carrie Reed
Journal:  Influenza Other Respir Viruses       Date:  2018-03-25       Impact factor: 4.380

3.  Influenza surveillance: determining the epidemic threshold for influenza by using the Moving Epidemic Method (MEM), Montenegro, 2010/11 to 2017/18 influenza seasons.

Authors:  Bozidarka Rakocevic; Anita Grgurevic; Goran Trajkovic; Boban Mugosa; Sandra Sipetic Grujicic; Sanja Medenica; Olivera Bojovic; José Eugenio Lozano Alonso; Tomas Vega
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4.  Establishing thresholds and parameters for pandemic influenza severity assessment, Australia.

Authors:  Kaitlyn Vette; Christina Bareja; Robert Clark; Aparna Lal
Journal:  Bull World Health Organ       Date:  2018-06-25       Impact factor: 9.408

5.  Transmissibility of influenza during the 21st-century epidemics, Spain, influenza seasons 2001/02 to 2017/18.

Authors:  Lidia Redondo-Bravo; Concepción Delgado-Sanz; Jesús Oliva; Tomás Vega; Jose Lozano; Amparo Larrauri
Journal:  Euro Surveill       Date:  2020-05
  5 in total

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