Literature DB >> 23835313

Inventory of veterinary syndromic surveillance initiatives in Europe (Triple-S project): current situation and perspectives.

Céline Dupuy1, Anne Bronner, Eamon Watson, Linda Wuyckhuise-Sjouke, Martin Reist, Anne Fouillet, Didier Calavas, Pascal Hendrikx, Jean-Baptiste Perrin.   

Abstract

Within the current context that favours the emergence of new diseases, syndromic surveillance (SyS) appears increasingly more relevant tool for the early detection of unexpected health events. The Triple-S project (Syndromic Surveillance Systems in Europe), co-financed by the European Commission, was launched in September 2010 for a three year period to promote both human and animal health SyS in European countries. Objectives of the project included performing an inventory of current and planned European animal health SyS systems and promoting knowledge transfer between SyS experts. This study presents and discusses the results of the Triple-S inventory of European veterinary SyS initiatives. European SyS systems were identified through an active process based on a questionnaire sent to animal health experts involved in SyS in Europe. Results were analyzed through a descriptive analysis and a multiple factor analysis (MFA) in order to establish a typology of the European SyS initiatives. Twenty seven European SyS systems were identified from twelve countries, at different levels of development, from project phase to active systems. Results of this inventory showed a real interest of European countries for SyS but also highlighted the novelty of this field. This survey highlighted the diversity of SyS systems in Europe in terms of objectives, population targeted, data providers, indicators monitored. For most SyS initiatives, statistical analysis of surveillance results was identified as a limitation in using the data. MFA results distinguished two types of systems. The first one belonged to the private sector, focused on companion animals and had reached a higher degree of achievement. The second one was based on mandatory collected data, targeted livestock species and is still in an early project phase. The exchange of knowledge between human and animal health sectors was considered useful to enhance SyS. In the same way that SyS is complementary to traditional surveillance, synergies between human and animal health SyS could be an added value, most notably to enhance timeliness, sensitivity and help interpreting non-specific signals.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Animal health surveillance; Epidemiology; Public health; Syndromic surveillance

Mesh:

Year:  2013        PMID: 23835313     DOI: 10.1016/j.prevetmed.2013.06.005

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  15 in total

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Authors:  F Vial; S Thommen; L Held
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Journal:  Front Public Health       Date:  2015-04-28

5.  Methodological challenges to multivariate syndromic surveillance: a case study using Swiss animal health data.

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Journal:  BMC Vet Res       Date:  2016-12-20       Impact factor: 2.741

6.  Veterinary syndromic surveillance in practice: costs and benefits for governmental organizations.

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Journal:  Infect Ecol Epidemiol       Date:  2015-12-02

7.  Simulation-Based Evaluation of the Performances of an Algorithm for Detecting Abnormal Disease-Related Features in Cattle Mortality Records.

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Journal:  PLoS One       Date:  2015-11-04       Impact factor: 3.240

8.  Evaluation of Swiss slaughterhouse data for integration in a syndromic surveillance system.

Authors:  Flavie Vial; Martin Reist
Journal:  BMC Vet Res       Date:  2014-01-31       Impact factor: 2.741

9.  Data distribution in public veterinary service: health and safety challenges push for context-aware systems.

Authors:  Laura Contalbrigo; Stefano Borgo; Giandomenico Pozza; Stefano Marangon
Journal:  BMC Vet Res       Date:  2017-12-22       Impact factor: 2.741

10.  Enhanced surveillance for Rift Valley Fever in livestock during El Niño rains and threat of RVF outbreak, Kenya, 2015-2016.

Authors:  Harry Oyas; Lindsey Holmstrom; Naomi P Kemunto; Matthew Muturi; Athman Mwatondo; Eric Osoro; Austine Bitek; Bernard Bett; Jane W Githinji; Samuel M Thumbi; Marc-Alain Widdowson; Peninah M Munyua; M Kariuki Njenga
Journal:  PLoS Negl Trop Dis       Date:  2018-04-26
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