Literature DB >> 21262185

Early spread of the 2009 influenza A(H1N1) pandemic in the United Kingdom--use of local syndromic data, May-August 2009.

S Smith1, G E Smith, B Olowokure, S Ibbotson, D Foord, H Maguire, R Pebody, A Charlett, J Hippisley-Cox, A J Elliot.   

Abstract

Following the confirmation of the first two cases of pandemic influenza on 27 April 2009 in the United Kingdom (UK), syndromic surveillance data from the Health Protection Agency (HPA)/QSurveillance and HPA/NHS Direct systems were used to monitor the possible spread of pandemic influenza at local level during the first phase of the outbreak. During the early weeks, syndromic indicators sensitive to influenza activity monitored through the two schemes remained low and the majority of cases were travel-related. The first evidence of community spread was seen in the West Midlands region following a school-based outbreak in central Birmingham. During the first phase several Primary Care Trusts had periods of exceptional influenza activity two to three weeks ahead of the rest of the region. Community transmission in London began slightly later than in the West Midlands but the rates of influenza-like illness recorded by general practitioners (GPs) were ultimately higher. Influenza activity in the West Midlands and London regions peaked a week before the remainder of the UK. Data from the HPA/NHS Direct and HPA/QSurveillance systems were mapped at local level and used alongside laboratory data and local intelligence to assist in the identification of hotspots, to direct limited public health resources and to monitor the progression of the outbreak. This work has demonstrated the utility of local syndromic surveillance data in the detection of increased transmission and in the epidemiological investigation of the pandemic and has prompted future spatio-temporal work.

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Year:  2011        PMID: 21262185

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


  10 in total

1.  Developing and validating a new national remote health advice syndromic surveillance system in England.

Authors:  S E Harcourt; R A Morbey; P Loveridge; L Carrilho; D Baynham; E Povey; P Fox; J Rutter; P Moores; J Tiffen; S Bellerby; P McIntosh; S Large; J McMenamin; A Reynolds; S Ibbotson; G E Smith; A J Elliot
Journal:  J Public Health (Oxf)       Date:  2017-03-01       Impact factor: 2.341

2.  Estimation of Basic Reproductive Number of Flu-like Syndrome in a Primary School in Iran.

Authors:  Aliakbar Haghdoost; Mohammad Reza Baneshi; Farzaneh Zolala; Sirous Farvahari; Hossein Safizadeh
Journal:  Int J Prev Med       Date:  2012-06

3.  Challenges of the Pandemic Response in Primary Care during Pre-Vaccination Period: A Qualitative Study.

Authors:  Marina Kunin; Dan Engelhard; Shane Thomas; Mark Ashworth; Leon Piterman
Journal:  Isr J Health Policy Res       Date:  2015-10-15

4.  Meeting the International Health Regulations (2005) surveillance core capacity requirements at the subnational level in Europe: the added value of syndromic surveillance.

Authors:  Alexandra Ziemann; Nicole Rosenkötter; Luis Garcia-Castrillo Riesgo; Matthias Fischer; Alexander Krämer; Freddy K Lippert; Gernot Vergeiner; Helmut Brand; Thomas Krafft
Journal:  BMC Public Health       Date:  2015-02-07       Impact factor: 3.295

5.  Patterns of early transmission of pandemic influenza in London - link with deprivation.

Authors:  Sooria Balasegaram; Flora Ogilvie; Amy Glasswell; Charlotte Anderson; Vivien Cleary; Deborah Turbitt; Brian McCloskey
Journal:  Influenza Other Respir Viruses       Date:  2012-01-11       Impact factor: 4.380

6.  Perceived usefulness of syndromic surveillance in Ontario during the H1N1 pandemic.

Authors:  Rachel Savage; Anna Chu; Laura C Rosella; Natasha S Crowcroft; Monali Varia; Michelle E Policarpio; Norman G Vinson; Anne-Luise Winter; Karen Hay; Richard F Davies; Ian Gemmill; Don Willison; Ian Johnson
Journal:  J Public Health (Oxf)       Date:  2011-12-22       Impact factor: 2.341

Review 7.  Syndromic surveillance: two decades experience of sustainable systems - its people not just data!

Authors:  Gillian E Smith; Alex J Elliot; Iain Lake; Obaghe Edeghere; Roger Morbey; Mike Catchpole; David L Heymann; Jeremy Hawker; Sue Ibbotson; Brian McCloskey; Richard Pebody
Journal:  Epidemiol Infect       Date:  2019-01       Impact factor: 2.451

8.  Issues in Building a Nursing Home Syndromic Surveillance System with Textmining: Longitudinal Observational Study.

Authors:  Tiba Delespierre; Loic Josseran
Journal:  JMIR Public Health Surveill       Date:  2018-12-13

9.  Access to the NHS by telephone and Internet during an influenza pandemic: an observational study.

Authors:  Paul Rutter; Oliver Mytton; Benjamin Ellis; Liam Donaldson
Journal:  BMJ Open       Date:  2014-02-03       Impact factor: 2.692

10.  Validity and timeliness of syndromic influenza surveillance during the autumn/winter wave of A (H1N1) influenza 2009: results of emergency medical dispatch, ambulance and emergency department data from three European regions.

Authors:  Nicole Rosenkötter; Alexandra Ziemann; Luis Garcia-Castrillo Riesgo; Jean Bernard Gillet; Gernot Vergeiner; Thomas Krafft; Helmut Brand
Journal:  BMC Public Health       Date:  2013-10-01       Impact factor: 3.295

  10 in total

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