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Transboundary and emerging diseases2019; 66(3); 1417-1419; doi: 10.1111/tbed.13150

Utility of examining fallen stock data to monitor health-related events in equids: Application to an outbreak of West Nile Virus in France in 2015.

Abstract: Few studies about the use of quantitative equine mortality data for monitoring purposes are available. Our study evaluated the utility of monitoring emerging equine diseases using mortality data collected by rendering plants. We used approaches involving modelling of historical mortality fluctuations and detection algorithm methods to analyse changes in equine mortality in connection with the West Nile Virus (WNV) outbreak that occurred between July and September 2015 along the Mediterranean coast of France. Two weeks after the first equine WNV case was detected by clinical surveillance, detection algorithms identified excess mortality. The temporal distribution of this excess mortality suggested that it was related to the WNV outbreak, which may helped to assess the impact of the WNV epizootic on equine mortality. The results suggest that real-time follow-up of mortality could be a useful tool for equine health surveillance.
Publication Date: 2019-03-06 PubMed ID: 30773844PubMed Central: PMC6850354DOI: 10.1111/tbed.13150Google Scholar: Lookup
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  • Journal Article

Summary

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This research investigates the usefulness of tracking mortality rates among horses as a method for monitoring emerging equine diseases. The study particularly focuses on the West Nile Virus outbreak along the French Mediterranean coast in 2015.

Research Objective

  • The main aim of the research was to evaluate whether monitoring mortality data collected by rendering plants could be effectively used as a method for tracking emerging horse diseases. The study focused on modeling historical mortality fluctuations and applying detection algorithm methods to analyze changes in horse mortality in relation to the West Nile Virus outbreak in 2015.

Methods Utilized

  • The study used practical modeling approaches and detection algorithm methods.
  • These methods analyzed the fluctuations in equine mortality data during the period of the West Nile Virus outbreak along the Mediterranean coast of France.

Findings

  • The researchers found that two weeks after the first equine West Nile Virus case was detected clinically, their detection algorithms identified a notable increase in mortality.
  • The temporal distribution or timing of this excess mortality seemed to be likely related to the West Nile Virus outbreak.

Implications

  • This research suggests that real-time tracking of equine mortality could be an invaluable tool for equine health surveillance.
  • Such monitoring could potentially assess the impact of an epidemic on horses and offer a means for identifying and tracking the early stages of emerging horse diseases. This could lead to faster response times and potentially, more effective disease control measures.
  • The study underscores the importance of further research into quantitative equine mortality data utilization for disease monitoring and potentially for other livestock as well.

Cite This Article

APA
Cazeau G, Leblond A, Sala C, Froustey M, Beck C, Lecollinet S, Tapprest J. (2019). Utility of examining fallen stock data to monitor health-related events in equids: Application to an outbreak of West Nile Virus in France in 2015. Transbound Emerg Dis, 66(3), 1417-1419. https://doi.org/10.1111/tbed.13150

Publication

ISSN: 1865-1682
NlmUniqueID: 101319538
Country: Germany
Language: English
Volume: 66
Issue: 3
Pages: 1417-1419

Researcher Affiliations

Cazeau, Géraldine
  • French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Laboratory of Lyon, University of Lyon, Lyon Cedex 07, France.
Leblond, Agnès
  • VetAgro Sup, National Institute for Agricultural Research (INRA), UMR EPIA, Animal Epidemiology, University of Lyon, Marcy l'Etoile, France.
Sala, Carole
  • French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Laboratory of Lyon, University of Lyon, Lyon Cedex 07, France.
Froustey, Marie
  • French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Laboratory of Lyon, University of Lyon, Lyon Cedex 07, France.
Beck, Cécile
  • ANSES, Animal Health Laboratory, UMR 1161 Virology, ANSES, INRA, ENVA, EURL on Equine Diseases, Maisons-Alfort, France.
Lecollinet, Sylvie
  • ANSES, Animal Health Laboratory, UMR 1161 Virology, ANSES, INRA, ENVA, EURL on Equine Diseases, Maisons-Alfort, France.
Tapprest, Jackie
  • Dozulé Laboratory for Equine Diseases, ANSES, Goustranville, France.

MeSH Terms

  • Animals
  • Disease Outbreaks / veterinary
  • France / epidemiology
  • Horse Diseases / epidemiology
  • Horse Diseases / virology
  • Horses
  • West Nile Fever / epidemiology
  • West Nile Fever / veterinary
  • West Nile Fever / virology
  • West Nile virus / isolation & purification

Conflict of Interest Statement

The authors declare that they have no conflicts of interest.

References

This article includes 11 references
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Citations

This article has been cited 1 times.
  1. Vilibic-Cavlek T, Savic V, Petrovic T, Toplak I, Barbic L, Petric D, Tabain I, Hrnjakovic-Cvjetkovic I, Bogdanic M, Klobucar A, Mrzljak A, Stevanovic V, Dinjar-Kujundzic P, Radmanic L, Monaco F, Listes E, Savini G. Emerging Trends in the Epidemiology of West Nile and Usutu Virus Infections in Southern Europe.. Front Vet Sci 2019;6:437.
    doi: 10.3389/fvets.2019.00437pubmed: 31867347google scholar: lookup