Literature DB >> 24899369

Clinical Sentinel Surveillance of Equine West Nile Fever, Spain.

C Saegerman1, A Alba-Casals2, I García-Bocanegra3, F Dal Pozzo1, G van Galen4.   

Abstract

West Nile fever (WNF) is a viral zoonotic infection caused by a mosquito-borne flavivirus of the Flaviviridae family. According to a comparative study, the passive surveillance of horses by equine veterinarians appeared to be the most cost-effective system in the European context of WNF. Clinical data issued from a passive epidemiosurveillance network from September 2010 to December 2011 on horses in Spain were statistically compared and used to develop a predictive diagnostic decision tree, both with the aim to improve the early clinical detection of WNF in horses. Although clinical signs were variable in horses affected by WNF, four clinical signs and the month of occurrence were identified as useful indicators to distinguish between WNF-related and WNF-unrelated cases. The signs that pointed out a presumptive diagnosis of WNF in horses were cranial nerves deficits, limb paralysis, photophobia and nasal discharge. Clinical examination of horses with neurological signs that are not vaccinated against WNV could provide important clues for the early clinical detection of WNF and therefore serve as an alert for possible human viral infections. The study of the clinical pattern of WNF in horses is of importance to enhance awareness and better understanding and to optimize surveillance designs for clinical detection of WNF in horses in advance of epidemic activity affecting humans.
© 2014 Blackwell Verlag GmbH.

Entities:  

Keywords:  West Nile fever; clinical epidemiology; data mining; equine; vector-borne disease; virus

Mesh:

Year:  2014        PMID: 24899369     DOI: 10.1111/tbed.12243

Source DB:  PubMed          Journal:  Transbound Emerg Dis        ISSN: 1865-1674            Impact factor:   5.005


  6 in total

1.  Colony Collapse Disorder (CCD) and bee age impact honey bee pathophysiology.

Authors:  Dennis vanEngelsdorp; Kirsten S Traynor; Michael Andree; Elinor M Lichtenberg; Yanping Chen; Claude Saegerman; Diana L Cox-Foster
Journal:  PLoS One       Date:  2017-07-17       Impact factor: 3.240

2.  Zoonotic Diseases from Horses: A Systematic Review.

Authors:  Alexandra Sack; Fatai S Oladunni; Battsetseg Gonchigoo; Thomas M Chambers; Gregory C Gray
Journal:  Vector Borne Zoonotic Dis       Date:  2020-02-20       Impact factor: 2.133

3.  Evaluation of a Multivariate Syndromic Surveillance System for West Nile Virus.

Authors:  Céline Faverjon; M Gunnar Andersson; Anouk Decors; Jackie Tapprest; Pierre Tritz; Alain Sandoz; Orsolya Kutasi; Carole Sala; Agnès Leblond
Journal:  Vector Borne Zoonotic Dis       Date:  2016-05-09       Impact factor: 2.133

4.  Early detection of West Nile virus in France: quantitative assessment of syndromic surveillance system using nervous signs in horses.

Authors:  C Faverjon; F Vial; M G Andersson; S Lecollinet; A Leblond
Journal:  Epidemiol Infect       Date:  2016-12-12       Impact factor: 4.434

5.  One Health approach for West Nile virus surveillance in the European Union: relevance of equine data for blood safety.

Authors:  Johanna J Young; Denis Coulombier; Dragoslav Domanović; Hervé Zeller; Céline M Gossner
Journal:  Euro Surveill       Date:  2019-04

6.  Pan-European Study on the Prevalence of the Feline Leukaemia Virus Infection - Reported by the European Advisory Board on Cat Diseases (ABCD Europe).

Authors:  Nadine Studer; Hans Lutz; Claude Saegerman; Enikö Gönczi; Marina L Meli; Gianluca Boo; Katrin Hartmann; Margaret J Hosie; Karin Moestl; Séverine Tasker; Sándor Belák; Albert Lloret; Corine Boucraut-Baralon; Herman F Egberink; Maria-Grazia Pennisi; Uwe Truyen; Tadeusz Frymus; Etienne Thiry; Fulvio Marsilio; Diane Addie; Manfred Hochleithner; Filip Tkalec; Zsuzsanna Vizi; Anna Brunetti; Boyko Georgiev; Louisa F Ludwig-Begall; Flurin Tschuor; Carmel T Mooney; Catarina Eliasson; Janne Orro; Helle Johansen; Kirsi Juuti; Igor Krampl; Kaspars Kovalenko; Jakov Šengaut; Cristina Sobral; Petra Borska; Simona Kovaříková; Regina Hofmann-Lehmann
Journal:  Viruses       Date:  2019-10-29       Impact factor: 5.048

  6 in total

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