Literature DB >> 20738999

Value of syndromic surveillance in monitoring a focal waterborne outbreak due to an unusual Cryptosporidium genotype in Northamptonshire, United Kingdom, June - July 2008.

S Smith1, A J Elliot, C Mallaghan, D Modha, J Hippisley-Cox, S Large, M Regan, G E Smith.   

Abstract

The United Kingdom (UK) has several national syndromic surveillance systems. The Health Protection Agency (HPA)/NHS Direct syndromic surveillance system uses pre-diagnostic syndromic data from a national telephone helpline, while the HPA/QSurveillance national surveillance system uses clinical diagnosis data extracted from general practitioner (GP)-based clinical information systems. Data from both of these systems were used to monitor a local outbreak of cryptosporidiosis that occurred following Cryptosporidium oocyst contamination of drinking water supplied from the Pitsford Reservoir in Northamptonshire, United Kingdom, in June 2008. There was a peak in the number of calls to NHS Direct concerning diarrhoea that coincided with the incident. QSurveillance data for the local areas affected by the outbreak showed a significant increase in GP consultations for diarrhoea and gastroenteritis in the week of the incident but there was no increase in consultations for vomiting. A total of 33 clinical cases of cryptosporidiosis were identified in the outbreak investigation, of which 23 were confirmed as infected with the outbreak strain. However, QSurveillance data suggest that there were an estimated 422 excess diarrhoea cases during the outbreak, an increase of about 25% over baseline weekly levels. To our knowledge, this is the first time that data from a syndromic surveillance system, the HPA/QSurveillance national surveillance system, have been able to show the extent of such a small outbreak at a local level. QSurveillance, which covers about 38% of the UK population, is currently the only GP database that is able to provide data at local health district (primary care trust) level. The Cryptosporidium contamination incident described demonstrates the potential usefulness of this information, as it is unusual for syndromic surveillance systems to be able to help monitor such a small-scale outbreak.

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Year:  2010        PMID: 20738999     DOI: 10.2807/ese.15.33.19643-en

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


  15 in total

1.  Adapting Syndromic Surveillance Baselines After Public Health Interventions.

Authors:  Roger Antony Morbey; Alex James Elliot; Gillian Elizabeth Smith; Andre Charlett
Journal:  Public Health Rep       Date:  2020-10-07       Impact factor: 2.792

2.  Approaches to the detection of very small, common, and easily missed outbreaks that together contribute substantially to human Cryptosporidium infection.

Authors:  A D M Briggs; N S Boxall; D Van Santen; R M Chalmers; N D McCarthy
Journal:  Epidemiol Infect       Date:  2014-04-02       Impact factor: 4.434

3.  An early warning system based on syndromic surveillance to detect potential health emergencies among migrants: results of a two-year experience in Italy.

Authors:  Christian Napoli; Flavia Riccardo; Silvia Declich; Maria Grazia Dente; Maria Grazia Pompa; Caterina Rizzo; Maria Cristina Rota; Antonino Bella
Journal:  Int J Environ Res Public Health       Date:  2014-08-20       Impact factor: 3.390

4.  A Study of Failure Events in Drinking Water Systems As a Basis for Comparison and Evaluation of the Efficacy of Potable Reuse Schemes.

Authors:  Laura A Onyango; Chloe Quinn; Keng H Tng; James G Wood; Greg Leslie
Journal:  Environ Health Insights       Date:  2016-03-31

5.  The potential impact of media reporting in syndromic surveillance: an example using a possible Cryptosporidium exposure in North West England, August to September 2015.

Authors:  Alex J Elliot; Helen E Hughes; John Astbury; Grainne Nixon; Kate Brierley; Roberto Vivancos; Thomas Inns; Valerie Decraene; Katherine Platt; Iain Lake; Sarah J O'Brien; Gillian E Smith
Journal:  Euro Surveill       Date:  2016-10-13

6.  The effectiveness of syndromic surveillance for the early detection of waterborne outbreaks: a systematic review.

Authors:  Susanne Hyllestad; Ettore Amato; Karin Nygård; Line Vold; Preben Aavitsland
Journal:  BMC Infect Dis       Date:  2021-07-20       Impact factor: 3.090

7.  The use of syndromic surveillance for decision-making during the H1N1 pandemic: a qualitative study.

Authors:  Anna Chu; Rachel Savage; Don Willison; Natasha S Crowcroft; Laura C Rosella; Doug Sider; Jason Garay; Ian Gemmill; Anne-Luise Winter; Richard F Davies; Ian Johnson
Journal:  BMC Public Health       Date:  2012-10-30       Impact factor: 3.295

8.  What is the utility of using syndromic surveillance systems during large subnational infectious gastrointestinal disease outbreaks? An observational study using case studies from the past 5 years in England.

Authors:  D Todkill; A J Elliot; R Morbey; J Harris; J Hawker; O Edeghere; G E Smith
Journal:  Epidemiol Infect       Date:  2016-04-01       Impact factor: 4.434

9.  Simultaneous detection of viral and bacterial enteric pathogens using the Seeplex® Diarrhea ACE detection system.

Authors:  L J Coupland; I McElarney; E Meader; K Cowley; L Alcock; J Naunton; J Gray
Journal:  Epidemiol Infect       Date:  2012-12-05       Impact factor: 4.434

10.  Syndromic surveillance for local outbreak detection and awareness: evaluating outbreak signals of acute gastroenteritis in telephone triage, web-based queries and over-the-counter pharmacy sales.

Authors:  T Andersson; P Bjelkmar; A Hulth; J Lindh; S Stenmark; M Widerström
Journal:  Epidemiol Infect       Date:  2013-05-15       Impact factor: 2.451

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