Literature DB >> 21392486

Evaluation of syndromic surveillance in the Netherlands: its added value and recommendations for implementation.

C C van den Wijngaard1, W van Pelt, N J Nagelkerke, M Kretzschmar, M P Koopmans.   

Abstract

In the last decade, syndromic surveillance has increasingly been used worldwide for detecting increases or outbreaks of infectious diseases that might be missed by surveillance based on laboratory diagnoses and notifications by clinicians alone. There is, however, an ongoing debate about the feasibility of syndromic surveillance and its potential added value. Here we present our perspective on syndromic surveillance, based on the results of a retrospective analysis of syndromic data from six Dutch healthcare registries, covering 1999–2009 or part of this period. These registries had been designed for other purposes, but were evaluated for their potential use in signalling infectious disease dynamics and outbreaks. Our results show that syndromic surveillance clearly has added value in revealing the blind spots of traditional surveillance, in particular by detecting unusual, local outbreaks independently of diagnoses of specific pathogens, and by monitoring disease burden and virulence shifts of common pathogens. Therefore we recommend the use of syndromic surveillance for these applications.

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Mesh:

Year:  2011        PMID: 21392486

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


  14 in total

1.  Assessing the relative timeliness of Ontario's syndromic surveillance systems for early detection of the 2009 influenza H1N1 pandemic waves.

Authors:  Anna Chu; Rachel Savage; Michael Whelan; Laura C Rosella; Natasha S Crowcroft; Don Willison; Anne-Luise Winter; Richard Davies; Ian Gemmill; Pia K Mucchal; Ian Johnson
Journal:  Can J Public Health       Date:  2013-05-14

2.  Enhancing Syndromic Surveillance With Online Respondent-Driven Detection.

Authors:  Mart L Stein; Jim E van Steenbergen; Vincent Buskens; Peter G M van der Heijden; Carl E Koppeschaar; Linus Bengtsson; Anna Thorson; Mirjam E E Kretzschmar
Journal:  Am J Public Health       Date:  2015-06-11       Impact factor: 9.308

3.  Evaluation of the ability of standardized supports to improve public health response to syndromic surveillance for respiratory diseases in Canada.

Authors:  Laura A Rivera; Ye Li; Rachel D Savage; Natasha S Crowcroft; Shelly Bolotin; Laura C Rosella; Wendy Lou; Jessica Hopkins; Ian Gemmill; Ian Johnson
Journal:  BMC Public Health       Date:  2017-02-15       Impact factor: 3.295

4.  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

5.  Evaluation of a national pharmacy-based syndromic surveillance system.

Authors:  P K Muchaal; S Parker; K Meganath; L Landry; J Aramini
Journal:  Can Commun Dis Rep       Date:  2015-09-03

6.  Comparison: Flu prescription sales data from a retail pharmacy in the US with Google Flu trends and US ILINet (CDC) data as flu activity indicator.

Authors:  Avinash Patwardhan; Robert Bilkovski
Journal:  PLoS One       Date:  2012-08-30       Impact factor: 3.240

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.  The accuracy and timeliness of neuraminidase inhibitor dispensing data for predicting laboratory-confirmed influenza.

Authors:  J Papenburg; K M Charland; G DE Serres; D L Buckeridge
Journal:  Epidemiol Infect       Date:  2015-11-27       Impact factor: 4.434

9.  Syndromic surveillance using veterinary laboratory data: algorithm combination and customization of alerts.

Authors:  Fernanda C Dórea; Beverly J McEwen; W Bruce McNab; Javier Sanchez; Crawford W Revie
Journal:  PLoS One       Date:  2013-12-11       Impact factor: 3.240

10.  Experience of establishing severe acute respiratory surveillance in the Netherlands: Evaluation and challenges.

Authors:  S D Marbus; W van der Hoek; J T van Dissel; A B van Gageldonk-Lafeber
Journal:  Public Health Pract (Oxf)       Date:  2020-12-22
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