Literature DB >> 25023603

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.

H K Green1, A Charlett1, J Moran-Gilad1, D Fleming2, H Durnall2, D Rh Thomas3, S Cottrell3, B Smyth4, C Kearns4, A J Reynolds5, G E Smith6, A J Elliot6, J Ellis7, M Zambon7, J M Watson1, J McMenamin5, R G Pebody1.   

Abstract

General Practitioner consultation rates for influenza-like illness (ILI) are monitored through several geographically distinct schemes in the UK, providing early warning to government and health services of community circulation and intensity of activity each winter. Following on from the 2009 pandemic, there has been a harmonization initiative to allow comparison across the distinct existing surveillance schemes each season. The moving epidemic method (MEM), proposed by the European Centre for Disease Prevention and Control for standardizing reporting of ILI rates, was piloted in 2011/12 and 2012/13 along with the previously proposed UK method of empirical percentiles. The MEM resulted in thresholds that were lower than traditional thresholds but more appropriate as indicators of the start of influenza virus circulation. The intensity of the influenza season assessed with the MEM was similar to that reported through the percentile approach. The MEM pre-epidemic threshold has now been adopted for reporting by each country of the UK. Further work will continue to assess intensity of activity and apply standardized methods to other influenza-related data sources.

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Year:  2014        PMID: 25023603      PMCID: PMC9206800          DOI: 10.1017/S0950268814001757

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


  11 in total

1.  The duration and magnitude of influenza epidemics: a study of surveillance data from sentinel general practices in England, Wales and the Netherlands.

Authors:  D M Fleming; M Zambon; A I Bartelds; J C de Jong
Journal:  Eur J Epidemiol       Date:  1999-05       Impact factor: 8.082

2.  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

3.  Improving the estimation of influenza-related mortality over a seasonal baseline.

Authors:  Edward Goldstein; Cecile Viboud; Vivek Charu; Marc Lipsitch
Journal:  Epidemiology       Date:  2012-11       Impact factor: 4.822

4.  A new laboratory-based surveillance system (Respiratory DataMart System) for influenza and other respiratory viruses in England: results and experience from 2009 to 2012.

Authors:  H Zhao; H Green; A Lackenby; M Donati; J Ellis; C Thompson; A Bermingham; J Field; P Sebastianpillai; M Zambon; Jm Watson; R Pebody
Journal:  Euro Surveill       Date:  2014-01-23

5.  Appropriateness of thresholds currently used to describe influenza activity in England.

Authors:  N L Goddard; J Kyncl; J M Watson
Journal:  Commun Dis Public Health       Date:  2003-09

6.  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.

Authors:  H E Tillett; I L Spencer
Journal:  J Hyg (Lond)       Date:  1982-02

7.  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

8.  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

9.  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

10.  Mortality attributable to influenza in England and Wales prior to, during and after the 2009 pandemic.

Authors:  Helen K Green; Nick Andrews; Douglas Fleming; Maria Zambon; Richard Pebody
Journal:  PLoS One       Date:  2013-12-11       Impact factor: 3.240

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  15 in total

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

Authors:  M Bangert; H Gil; J Oliva; C Delgado; T Vega; S DE Mateo; A Larrauri
Journal:  Epidemiol Infect       Date:  2016-12-05       Impact factor: 4.434

2.  Outbreak of Escherichia coli O157 Phage Type 32 linked to the consumption of venison products.

Authors:  A Smith-Palmer; G Hawkins; L Browning; L Allison; M Hanson; R Bruce; J McElhiney; J Horne
Journal:  Epidemiol Infect       Date:  2018-07-06       Impact factor: 4.434

3.  Recording of Influenza-Like Illness in UK Primary Care 1995-2013: Cohort Study.

Authors:  Pia Hardelid; Greta Rait; Ruth Gilbert; Irene Petersen
Journal:  PLoS One       Date:  2015-09-21       Impact factor: 3.240

4.  Retrospective Observational Study of Atypical Winter Respiratory Illness Season Using Real-Time Syndromic Surveillance, England, 2014-15.

Authors:  Sue Smith; Roger Morbey; Richard G Pebody; Thomas C Hughes; Simon de Lusignan; F Alex Yeates; Helen Thomas; Sarah J O'Brien; Gillian E Smith; Alex J Elliot
Journal:  Emerg Infect Dis       Date:  2017-11       Impact factor: 6.883

5.  Moving epidemic method (MEM) applied to virology data as a novel real time tool to predict peak in seasonal influenza healthcare utilisation. The Scottish experience of the 2017/18 season to date.

Authors:  Josephine L K Murray; Diogo F P Marques; Ross L Cameron; Alison Potts; Jennifer Bishop; Beatrix von Wissmann; Naoma William; Arlene J Reynolds; Chris Robertson; Jim McMenamin
Journal:  Euro Surveill       Date:  2018-03

6.  Comparison between influenza coded primary care consultations and national influenza incidence obtained by the General Practitioners Sentinel Network in Portugal from 2012 to 2017.

Authors:  Rosália Páscoa; Ana Paula Rodrigues; Susana Silva; Baltazar Nunes; Carlos Martins
Journal:  PLoS One       Date:  2018-02-13       Impact factor: 3.240

7.  Establishing seasonal and alert influenza thresholds in Morocco.

Authors:  Ahmed Rguig; Imad Cherkaoui; Margaret McCarron; Hicham Oumzil; Soumia Triki; Houria Elmbarki; Abderrahman Bimouhen; Fatima El Falaki; Zakia Regragui; Hassan Ihazmad; Chakib Nejjari; Mohammed Youbi
Journal:  BMC Public Health       Date:  2020-06-29       Impact factor: 3.295

8.  Primary care influenza-like illness surveillance in Ho Chi Minh City, Vietnam 2013-2015.

Authors:  Stacy Todd; Nguyen Thi Cam Huong; Nguyen Thi Le Thanh; Nguyen Ha Thao Vy; Nguyen Thanh Hung; Tran Thi Nhu Thao; Huynh Thi Phuong; Rogier van Doorn; Vu Thi Ty Hang; Nguyen Van Vinh Chau; Jonathan M Read; David G Lalloo; Maciej F Boni
Journal:  Influenza Other Respir Viruses       Date:  2018-07-07       Impact factor: 4.380

9.  Developing influenza and respiratory syncytial virus activity thresholds for syndromic surveillance in England.

Authors:  S E Harcourt; R A Morbey; G E Smith; P Loveridge; H K Green; R Pebody; J Rutter; F A Yeates; G Stuttard; A J Elliot
Journal:  Epidemiol Infect       Date:  2019-01       Impact factor: 2.451

10.  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

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