Literature DB >> 24480060

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

H Zhao1, H Green, A Lackenby, M Donati, J Ellis, C Thompson, A Bermingham, J Field, P Sebastianpillai, M Zambon, Jm Watson, R Pebody.   

Abstract

During the 2009 influenza A(H1N1) pandemic, a new laboratory-based virological sentinel surveillance system, the Respiratory DataMart System (RDMS), was established in a network of 14 Health Protection Agency (now Public Health England (PHE)) and National Health Service (NHS) laboratories in England. Laboratory results (both positive and negative) were systematically collected from all routinely tested clinical respiratory samples for a range of respiratory viruses including influenza, respiratory syncytial virus (RSV), rhinovirus, parainfluenza virus, adenovirus and human metapneumovirus (hMPV). The RDMS also monitored the occurrence of antiviral resistance of influenza viruses. Data from the RDMS for the 2009–2012 period showed that the 2009 pandemic influenza virus caused three waves of activity with different intensities during the pandemic and post pandemic periods. Peaks in influenza A(H1N1)pdm09 positivity (defined as number of positive samples per total number of samples tested) were seen in summer and autumn in 2009, with slightly higher peak positivity observed in the first post-pandemic season in 2010/2011. The influenza A(H1N1)pdm09 virus strain almost completely disappeared in the second postpandemic season in 2011/2012. The RDMS findings are consistent with other existing community-based virological and clinical surveillance systems. With a large sample size, this new system provides a robust supplementary mechanism, through the collection of routinely available laboratory data at minimum extra cost, to monitor influenza as well as other respiratory virus activity. A near real-time, daily reporting mechanism in the RDMS was established during the London 2012 Olympic and Paralympic Games. Furthermore, this system can be quickly adapted and used to monitor future influenza pandemics and other major outbreaks of respiratory infectious disease, including novel pathogens.

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Year:  2014        PMID: 24480060     DOI: 10.2807/1560-7917.es2014.19.3.20680

Source DB:  PubMed          Journal:  Euro Surveill        ISSN: 1025-496X


  25 in total

1.  Serologic cross-reactions between nucleocapsid proteins of human respiratory syncytial virus and human metapneumovirus.

Authors:  Yange Zhang; Jan Pohl; W Abdullah Brooks; Dean D Erdman
Journal:  J Clin Microbiol       Date:  2015-03-04       Impact factor: 5.948

2.  Extensive multiplex PCR diagnostics reveal new insights into the epidemiology of viral respiratory infections.

Authors:  S Nickbakhsh; F Thorburn; B VON Wissmann; J McMENAMIN; R N Gunson; P R Murcia
Journal:  Epidemiol Infect       Date:  2016-03-02       Impact factor: 2.451

3.  Impact of influenza vaccination on respiratory illness rates in children attending private boarding schools in England, 2013-2014: a cohort study.

Authors:  N Brousseau; H K Green; N Andrews; R Pryse; M Baguelin; A Sunderland; J Ellis; R Pebody
Journal:  Epidemiol Infect       Date:  2015-04-16       Impact factor: 4.434

4.  Epidemiology of parainfluenza infection in England and Wales, 1998-2013: any evidence of change?

Authors:  H Zhao; R J Harris; J Ellis; M Donati; R G Pebody
Journal:  Epidemiol Infect       Date:  2017-01-18       Impact factor: 4.434

5.  Epidemiology of laboratory-confirmed respiratory syncytial virus infection in young children in England, 2010-2014: the importance of birth month.

Authors:  R M Reeves; P Hardelid; R Gilbert; J Ellis; H Zhao; M Donati; R Pebody
Journal:  Epidemiol Infect       Date:  2016-02-26       Impact factor: 4.434

Review 6.  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

7.  Uptake and impact of vaccinating primary school-age children against influenza: experiences of a live attenuated influenza vaccine programme, England, 2015/16.

Authors:  Richard G Pebody; Mary A Sinnathamby; Fiona Warburton; Nick Andrews; Nicola L Boddington; Hongxin Zhao; Ivelina Yonova; Joanna Ellis; Elise Tessier; Matthew Donati; Alex J Elliot; Helen E Hughes; Sameera Pathirannehelage; Rachel Byford; Gillian E Smith; Simon de Lusignan; Maria Zambon
Journal:  Euro Surveill       Date:  2018-06

8.  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

9.  Estimating the secondary attack rate and serial interval of influenza-like illnesses using social media.

Authors:  Elad Yom-Tov; Ingemar Johansson-Cox; Vasileios Lampos; Andrew C Hayward
Journal:  Influenza Other Respir Viruses       Date:  2015-07       Impact factor: 4.380

10.  Are School Absences Correlated with Influenza Surveillance Data in England? Results from Decipher My Data-A Research Project Conducted through Scientific Engagement with Schools.

Authors:  Robert W Aldridge; Andrew C Hayward; Nigel Field; Charlotte Warren-Gash; Colette Smith; Richard Pebody; Declan Fleming; Shane McCracken
Journal:  PLoS One       Date:  2016-03-02       Impact factor: 3.240

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