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Equine veterinary journal2013; 45(6); 776-783; doi: 10.1111/evj.12100

Surveillance of equine influenza viruses through the RESPE network in France from November 2005 to October 2010.

Abstract: The Réseau d'Epidémio-Surveillance en Pathologie Equine (RESPE, the French epidemiological network for equine diseases) is a network for epidemio-surveillance of major equine diseases based around sentry veterinarians in France. Objective: The aim of this study was to evaluate the contribution of RESPE to efficient surveillance of equine influenza virus (EIV) in France. Methods: Retrospective cross-sectional study. Methods: From November 2005 to October 2010, epidemiological and phylogenetic studies were performed on 1426 nasopharyngeal swabs received at the Frank Duncombe Laboratory. Detection was performed by real-time reverse transcription polymerase chain reaction using original primers and probes designed in the matrix protein gene. Phylogenetic analysis was carried out on the HA1 part of haemagglutinin gene amplified from 47 positive-testing samples. Epidemiological information was provided with the majority of samples submitted through RESPE. Results: Of the 920 samples submitted by RESPE-associated veterinarians, 121 (13.1%) from 42 premises were positive for EIV, compared to 26 (5.1%) of the 607 samples received from non-RESPE associated veterinarians. The most extensive outbreak was observed between February and May 2009, affecting 70 horses on 23 premises, 15 of which were managed by RESPE-associated veterinarians. All strains belonged to the American lineage, Florida sublineage, Clade 1 and Clade 2. Clade 1 was identified only during the Grosbois episode. Conclusions: RESPE improved detection of EIV in France, enabled characterisation of the virus strains, yielded valuable information relating to the epidemiology of the disease and identified vaccine breakdown. Conclusions: Implementation of a similar surveillance network in other countries may reduce the economic losses associated with outbreaks of EIV.
Publication Date: 2013-07-08 PubMed ID: 23662725DOI: 10.1111/evj.12100Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

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The research looks into the effectiveness of the French Réseau d’Epidémio-Surveillance en Pathologie Equine (RESPE) network in supporting equine influenza virus (EIV) surveillance in France between November 2005 and October 2010. The conclusions suggest that such a surveillance network may reduce economic losses from EIV outbreaks if implemented in other countries.

Objectives and Methodology

The study primarily aimed to analyse the efficiency of the RESPE network in France for the surveillance of equine influenza virus (EIV). A retrospective cross-sectional examination was performed on 1426 nasopharyngeal swabs received at the Frank Duncombe Laboratory from November 2005 to October 2010. The researchers used real-time reverse transcription polymerase chain reaction to conduct EIV detection and undertook phylogenetic analysis on a portion of the haemagglutinin gene from 47 samples that tested positive.

  • The haemagglutinin gene is crucially related to the virus’s infectivity and the host’s immune response.
  • Phylogenetic analysis provides an understanding of the evolutionary relationships between different strains of viruses.

Key Findings

The study reported that of the 920 samples submitted by RESPE-associated veterinarians, 121 (13.1%) from 42 premises tested positive for EIV. In contrast, only 5.1% of the 607 samples received from non-RESPE associated veterinarians turned out to be positive.

  • The most extensive outbreak was registered between February and May 2009, affecting 70 horses across 23 premises, of which 15 were managed by RESPE-associated veterinarians.
  • All detected strains belonged to the American lineage, specifically the Florida sublineage, belonging to Clade 1 and Clade 2. Clade 1 was identified only during the so-called “Grosbois episode”.

Conclusions

The RESPE network demonstrated its value in enhancing EIV detection in France, enabling accurate characterisation of the virus strains, supplying useful information related to the disease’s epidemiology, and identifying instances of vaccine breakdown.

  • The study suggests that establishing a similar surveillance network in other countries could potentially help in reducing the economic losses associated with outbreaks of EIV.

Cite This Article

APA
Legrand LJ, Pitel PH, Marcillaud-Pitel CJ, Cullinane AA, Couroucé AM, Fortier GD, Freymuth FL, Pronost SL. (2013). Surveillance of equine influenza viruses through the RESPE network in France from November 2005 to October 2010. Equine Vet J, 45(6), 776-783. https://doi.org/10.1111/evj.12100

Publication

ISSN: 2042-3306
NlmUniqueID: 0173320
Country: United States
Language: English
Volume: 45
Issue: 6
Pages: 776-783

Researcher Affiliations

Legrand, L J
  • Frank Duncombe Laboratory, Caen, France; Normandie University, Caen, France; UNICAEN, EA 4655-U2RM: Unité de Recherche Risques Microbiens, Caen, France.
Pitel, P-H Y
    Marcillaud-Pitel, C J
      Cullinane, A A
        Couroucé, A M
          Fortier, G D
            Freymuth, F L
              Pronost, S L

                MeSH Terms

                • Animals
                • Cross-Sectional Studies
                • Epidemiological Monitoring / veterinary
                • France / epidemiology
                • Horse Diseases / epidemiology
                • Horses
                • Influenza A virus / genetics
                • Orthomyxoviridae Infections / epidemiology
                • Orthomyxoviridae Infections / veterinary
                • Phylogeny
                • Population Surveillance
                • Real-Time Polymerase Chain Reaction / methods
                • Real-Time Polymerase Chain Reaction / veterinary
                • Reproducibility of Results
                • Retrospective Studies
                • Reverse Transcriptase Polymerase Chain Reaction / methods
                • Reverse Transcriptase Polymerase Chain Reaction / veterinary
                • Sensitivity and Specificity

                Citations

                This article has been cited 8 times.
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