Literature DB >> 11732356

Can calls to NHS Direct be used for syndromic surveillance?

S E Harcourt1, G E Smith, V Hollyoak, C A Joseph, R Chaloner, Y Rehman, F Warburton, O O Ejidokun, J M Watson, R K Griffiths.   

Abstract

This study assessed whether NHS Direct could be a useful source of surveillance data for communicable diseases, using influenza as a pilot condition. Data on the weekly total number of calls and the number from people reporting influenza-like symptoms to three pilot NHS Direct sites were collected between November 1999 and March 2000. NHS Direct data were compared with routinely available influenza surveillance data. The NHS Direct call rate peaked at 331 per 100,000 population in week 52 of 1999. The percentage of calls for 'influenza-like illness' (one site) peaked at 15% during week 51. Information about weekly call numbers to NHS Direct could be produced in a timely way. It was not clear whether the observed peak in calls reflected a true increase in influenza or whether it was the result of an increase in calls over the Christmas/Millennium holiday period due to more difficulty in accessing other services. The ability to assess the proportion of calls made directly by, or on behalf of, each age group will be of vital importance in interpreting seasonal respiratory disease.

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Year:  2001        PMID: 11732356

Source DB:  PubMed          Journal:  Commun Dis Public Health        ISSN: 1462-1843


  9 in total

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Authors:  Richard L Marquet; Aad I M Bartelds; Sander P van Noort; Carl E Koppeschaar; John Paget; François G Schellevis; Jouke van der Zee
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Review 3.  The remarkable adaptability of syndromic surveillance to meet public health needs.

Authors:  Beverley J Paterson; David N Durrheim
Journal:  J Epidemiol Glob Health       Date:  2013-01-20

4.  Emergency department syndromic surveillance systems: a systematic review.

Authors:  Helen E Hughes; Obaghe Edeghere; Sarah J O'Brien; Roberto Vivancos; Alex J Elliot
Journal:  BMC Public Health       Date:  2020-12-09       Impact factor: 3.295

5.  Real-time surveillance for respiratory disease outbreaks, Ontario, Canada.

Authors:  Adam van-Dijk; Jeff Aramini; Graham Edge; Kieran M Moore
Journal:  Emerg Infect Dis       Date:  2009-05       Impact factor: 6.883

6.  Telephone triage service data for detection of influenza-like illness.

Authors:  W Katherine Yih; Kathryn S Teates; Allyson Abrams; Ken Kleinman; Martin Kulldorff; Robert Pinner; Robert Harmon; Stanley Wang; Richard Platt
Journal:  PLoS One       Date:  2009-04-17       Impact factor: 3.240

7.  Using Ontario's "Telehealth" health telephone helpline as an early-warning system: a study protocol.

Authors:  Elizabeth Rolland; Kieran M Moore; Victoria A Robinson; Don McGuinness
Journal:  BMC Health Serv Res       Date:  2006-02-15       Impact factor: 2.655

8.  Time series modeling for syndromic surveillance.

Authors:  Ben Y Reis; Kenneth D Mandl
Journal:  BMC Med Inform Decis Mak       Date:  2003-01-23       Impact factor: 2.796

9.  Validation of syndromic surveillance for respiratory infections.

Authors:  Florence T Bourgeois; Karen L Olson; John S Brownstein; Alexander J McAdam; Kenneth D Mandl
Journal:  Ann Emerg Med       Date:  2006-01-18       Impact factor: 5.721

  9 in total

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