FREE SHIPPING over $40
OVER 9000 FIVE-STAR REVIEWS
5% OFF ALL SUBSCRIPTIONS
100% HAPPINESS GUARANTEE
Analyze Diet
0
Home / Equine Research Bank / Epidemiol Infect / Comparative evaluation of three surveillance systems for inf...
Epidemiology and infection2015; 143(14); 3122-3133; doi: 10.1017/S0950268815000217

Comparative evaluation of three surveillance systems for infectious equine diseases in France and implications for future synergies.

Abstract: It is necessary to assess surveillance systems for infectious animal diseases to ensure they meet their objectives and provide high-quality health information. Each system is generally dedicated to one disease and often comprises various components. In many animal industries, several surveillance systems are implemented separately even if they are based on similar components. This lack of synergy may prevent optimal surveillance. The purpose of this study was to assess several surveillance systems within the same industry using the semi-quantitative OASIS method and to compare the results of the assessments in order to propose improvements, including future synergies. We have focused on the surveillance of three major equine diseases in France. We have identified the mutual and specific strengths and weaknesses of each surveillance system. Furthermore, the comparative assessment has highlighted many possible synergies that could improve the effectiveness and efficiency of surveillance as a whole, including the implementation of new joint tools or the pooling of existing teams, tools or skills. Our approach is an original application of the OASIS method, which requires minimal financial resources and is not very time-consuming. Such a comparative evaluation could conceivably be applied to other surveillance systems, other industries and other countries. This approach would be especially relevant to enhance the efficiency of surveillance activities when resources are limited.
Get Full Text
Publication Date: 2015-02-25 PubMed ID: 25712325PubMed Central: PMC4595862DOI: 10.1017/S0950268815000217Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
LinkedInCopy
  • Comparative Study
  • Evaluation Study
  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The study evaluated three different surveillance systems used for monitoring infectious diseases in horses in France, identified their strengths and weaknesses, and suggested potential synergies for improving effectiveness and efficiency.

Objective of the Study

  • The primary aim of the research was to analyse several surveillance systems within the equine industry using the semi-quantitative OASIS method. The reason for this assessment was to understand the systems’ efficiency in tackling infectious diseases affecting horses, compare the results from each system, and propose improvements for enhanced synergy and better results.

Method of Assessment

  • The researchers used the OASIS method of assessment, which is a semi-quantitative process that doesn’t require extensive financial resources and saves time. The three major equine diseases under surveillance acted as the study’s central focus.

Findings and Significance

  • The study identified both mutual and specific strengths and weaknesses within each surveillance system.
  • It also emphasized the relevance of implementing several synergies which can boost the effectiveness and overall efficiency of the combined surveillance system. These improvements could come in the form of new collaborative tools or a pooling of pre-existing resources, including teams, tools, or skills.
  • The identified methods and the comparative approach employed in this study could potentially be applied to other surveillance systems or even extended to other sectors or countries, especially when resources are constrained.
  • Understanding the strengths and weaknesses of various surveillance systems is critical in ensuring effective surveillance of infectious diseases which is crucial for maintaining herd health and responding appropriately to outbreaks.

Conclusion

  • This study’s methods and conclusions can provide a framework for optimizing and improving surveillance systems for infectious diseases both within the equine industry and potentially in other sectors as well. The application of these methods could result in healthier animals, more effective disease control measures, and cost savings through efficiency improvements.

Cite This Article

APA
Amat JP, Hendrikx P, Tapprest J, Leblond A, Dufour B. (2015). Comparative evaluation of three surveillance systems for infectious equine diseases in France and implications for future synergies. Epidemiol Infect, 143(14), 3122-3133. https://doi.org/10.1017/S0950268815000217

Publication

Epidemiology and infection
ISSN: 1469-4409
NlmUniqueID: 8703737
Country: England
Language: English
Volume: 143
Issue: 14
Pages: 3122-3133

Researcher Affiliations

Amat, J P
  • National Institute for Agricultural Research (INRA),UR346 Epidémiologie Animale,Saint-Genès-Champanelle,France.
Hendrikx, P
  • ANSES,Direction of Laboratories,Lyon,France.
Tapprest, J
  • French Agency for Food, Environmental and Occupational Health Safety (ANSES),Dozulé Laboratory for Equine Diseases,Goustranville,France.
Leblond, A
  • National Institute for Agricultural Research (INRA),UR346 Epidémiologie Animale,Saint-Genès-Champanelle,France.
Dufour, B
  • Veterinary School of Maisons-Alfort (ENVA),EpiMAI Unit ENVA-Joint Anses,Maisons-Alfort,France.

MeSH Terms

  • Animals
  • Communicable Diseases / epidemiology
  • Communicable Diseases / veterinary
  • Epidemiological Monitoring
  • France / epidemiology
  • Horse Diseases / epidemiology
  • Horses

References

This article includes 39 references
  1. Stärk KD, Regula G, Hernandez J, Knopf L, Fuchs K, Morris RS, Davies P. Concepts for risk-based surveillance in the field of veterinary medicine and veterinary public health: review of current approaches.. BMC Health Serv Res 2006 Feb 28;6:20.
    pmc: PMC1409776pubmed: 16507106doi: 10.1186/1472-6963-6-20google scholar: lookup
  2. Hoinville LJ, Alban L, Drewe JA, Gibbens JC, Gustafson L, Häsler B, Saegerman C, Salman M, Stärk KD. Proposed terms and concepts for describing and evaluating animal-health surveillance systems.. Prev Vet Med 2013 Oct 1;112(1-2):1-12.
    pubmed: 23906392doi: 10.1016/j.prevetmed.2013.06.006google scholar: lookup
  3. Dufour B, Hendrikx P, Toma B. [The design and establishment of epidemiological surveillance systems for high-risk diseases in developed countries].. Rev Sci Tech 2006 Apr;25(1):187-98.
    pubmed: 16796048doi: 10.20506/rst.25.1.1659google scholar: lookup
  4. Toma B, Pearson JE. Equine infectious anaemia. In: Lefèvre PC, et al. Infectious and Parasitic Diseases of Livestock. Oxfordshire: CABI, 2010, pp. 613–626.
  5. Timoney PJ. Equine viral arteritis. In: McKinnon AO, et al. Equine Reproduction. Hoboken: John Wiley & Sons, 2011, pp. 2391–2398.
  6. Balasuriya UB, Go YY, MacLachlan NJ. Equine arteritis virus.. Vet Microbiol 2013 Nov 29;167(1-2):93-122.
    pmc: PMC7126873pubmed: 23891306doi: 10.1016/j.vetmic.2013.06.015google scholar: lookup
  7. Timoney PJ, McCollum WH. Equine viral arteritis.. Can Vet J 1987 Nov;28(11):693-5.
    pmc: PMC1680490pubmed: 17422919
  8. Timoney PJ, McCollum WH. Equine viral arteritis.. Vet Clin North Am Equine Pract 1993 Aug;9(2):295-309.
    pmc: PMC7134676pubmed: 8395325doi: 10.1016/s0749-0739(17)30397-8google scholar: lookup
  9. Timoney PJ. Contagious equine metritis. In: McKinnon AO, et al. Equine Reproduction. Hoboken: John Wiley & Sons, 2011, pp. 2399–2409.
  10. Schulman ML, May CE, Keys B, Guthrie AJ. Contagious equine metritis: artificial reproduction changes the epidemiologic paradigm.. Vet Microbiol 2013 Nov 29;167(1-2):2-8.
    pubmed: 23332460doi: 10.1016/j.vetmic.2012.12.021google scholar: lookup
  11. Hans A, Ponçon N, Zientara S. Epidemiological situation of equine infectious anaemia in France and Europe between 1994 and 2011 [in French]. Bulletin de l'Académie Vétérinaire de France 2012; 165: 27–34.
  12. Hans A, Marcé C. Epidemiological situation of equine viral arteritis in France in 2011 [in French]. Bulletin Epidémiologique, Santé Animale et Alimentation 2012; 54: 62–63.
  13. Petry S, Marcé C. Epidemiological situation of contagious equine metritis in France in 2011: two cases in French Trotter mares [in French]. Bulletin Epidémiologique, Santé Animale et Alimentation 2012; 54: 64–65.
  14. Valon F. The RESPE: French network for epidemiological surveillance of equine diseases [in French]. Bulletin Epidémiologique, Santé Animale et Alimentation 2012; 49: 11–16.
  15. RESPE. The RESPE: French network for epidemiological surveillance of equine diseases [in French]. (http://www.respe.net/basedocu-fp). Accessed 23 October 2014.
  16. Salman, Stärk KD, Zepeda C. Quality assurance applied to animal disease surveillance systems.. Rev Sci Tech 2003 Aug;22(2):689-96.
    pubmed: 15884598doi: 10.20506/rst.22.2.1431google scholar: lookup
  17. Drewe JA, Hoinville LJ, Cook AJ, Floyd T, Stärk KD. Evaluation of animal and public health surveillance systems: a systematic review.. Epidemiol Infect 2012 Apr;140(4):575-90.
    pubmed: 22074638doi: 10.1017/s0950268811002160google scholar: lookup
  18. Hendrikx P, Gay E, Chazel M, Moutou F, Danan C, Richomme C, Boue F, Souillard R, Gauchard F, Dufour B. OASIS: an assessment tool of epidemiological surveillance systems in animal health and food safety.. Epidemiol Infect 2011 Oct;139(10):1486-96.
    pubmed: 21385516doi: 10.1017/s0950268811000161google scholar: lookup
  19. Roberts MC. Implementing and evaluating a practice-based surveillance program for equine infectious disease in North Carolina. In: Proceedings of the 11th Symposium of the International Society for Veterinary Epidemiology and Economics. Cairns, Australia: International Symposia on Veterinary Epidemiology and Economics, 2006, pp. 101.
  20. Odoi A, Carter CN, Riley JW, Smith JL, Dwyer RM. Application of an automated surveillance-data-analysis system in a laboratory-based early-warning system for detection of an abortion outbreak in mares.. Am J Vet Res 2009 Feb;70(2):247-56.
    pubmed: 19231958doi: 10.2460/ajvr.70.2.247google scholar: lookup
  21. Hayama Y, Kobayashi S, Nishida T, Muroga N, Tsutsui T. Network simulation modeling of equine infectious anemia in the non-racehorse population in Japan.. Prev Vet Med 2012 Jan 1;103(1):38-48.
    pubmed: 21963256doi: 10.1016/j.prevetmed.2011.09.011google scholar: lookup
  22. Plateforme ESA. Procedure for evaluation of epidemiological surveillance networks by the OASIS method [in French]. 2011, pp. 23 (http://www.plateforme-esa.fr/index.php?option=com_content&view=category&id=50:loutil-devaluation-oasis&layout=blog&Itemid=268&layout=blog). Accessed 23 October 2014.
  23. Calavas D. Evaluation of the surveillance network for bovine tuberculosis in France [in French]. 2012, pp. 33 (http://www.plateforme-esa.fr/index.php?option=com_content&view=section&id=14&Itemid=84). Accessed 5 October 2014.
  24. Calavas D. Evaluation of the French network for epidemiological surveillance of mollusc diseases (Repamo) by the OASIS method [in French]. 2012, pp. 29 (http://www.plateforme-esa.fr/index.php?option=com_content&view=section&id=14&Itemid=84). Accessed 5 October 2014.
  25. Marcé C. The evaluation of the surveillance networks by the OASIS method [in French]. (http://www.plateforme-esa.fr/index.php?option=com_content&view=category&id=119:applications-oasis&layout=blog&Itemid=269&layout=blog). Accessed 23 October 2014.
  26. Plateforme ESA. Procedure for evaluation of a surveillance network by the OASIS flash method [in French]. 2014, pp. 2 (http://www.plateforme-esa.fr/index.php?option=com_content&view=category&id=50:loutil-devaluation-oasis&layout=blog&Itemid=268&layout=blog). Accessed 23 October 2014.
  27. German RR, Lee LM, Horan JM, Milstein RL, Pertowski CA, Waller MN. Updated guidelines for evaluating public health surveillance systems: recommendations from the Guidelines Working Group.. MMWR Recomm Rep 2001 Jul 27;50(RR-13):1-35; quiz CE1-7.
    pubmed: 18634202
  28. Ohashi T, Sugiyama K, Koba Y, Hasegawa A, Yamamoto T, Tsutsui T. Development of a semi-quantitative evaluation system for surveillance of bovine spongiform encephalopathy, using the analytic hierarchy process.. Rev Sci Tech 2010 Dec;29(3):473-83.
    pubmed: 21309448doi: 10.20506/rst.29.3.1989google scholar: lookup
  29. Drewe JA, Hoinville LJ, Cook AJ, Floyd T, Gunn G, Stärk KD. SERVAL: a new framework for the evaluation of animal health surveillance.. Transbound Emerg Dis 2015 Feb;62(1):33-45.
    doi: 10.1111/tbed.12063pubmed: 23414450google scholar: lookup
  30. Harper SL, Edge VL, Schuster-Wallace CJ, Ar-Rushdi M, McEwen SA. Improving Aboriginal health data capture: evidence from a health registry evaluation.. Epidemiol Infect 2011 Nov;139(11):1774-83.
    pubmed: 21134324doi: 10.1017/s095026881000275xgoogle scholar: lookup
  31. Lynn T, Grannis J, Williams M, Marshall K, Miller R, Bush E, Bruntz S. An evaluation of scrapie surveillance in the United States.. Prev Vet Med 2007 Sep 14;81(1-3):70-9.
    pubmed: 17482695doi: 10.1016/j.prevetmed.2007.04.001google scholar: lookup
  32. Hendrikx P. Assessment of bovine tuberculosis surveillance in France. In: Proceedings of the 13th International Symposium on Veterinary Epidemiology and Economics. Belgium, Netherlands: International Symposia on Veterinary Epidemiology and Economics, 2012, pp. 509.
  33. Surveillance Advisory Group. Surveillance advisory group final report. 2012, pp. 102 (http://webarchive.nationalarchives.gov.uk/20140707135733/http://www.defra.gov.uk/ahvla-en/files/pub-sag-final-report.pdf/). Accessed 23 October 2014.
  34. Pronost S, Pitel PH, Miszczak F, Legrand L, Marcillaud-Pitel C, Hamon M, Tapprest J, Balasuriya UB, Freymuth F, Fortier G. Description of the first recorded major occurrence of equine viral arteritis in France.. Equine Vet J 2010 Nov;42(8):713-20.
    pubmed: 21039801doi: 10.1111/j.2042-3306.2010.00109.xgoogle scholar: lookup
  35. Equinella (https://www.equinella.ch/). Accessed 23 October 2014.
  36. Equi Focus Point Belgium (http://www.dgz.be/equi-focus-point-belgium). Accessed 23 October 2014.
  37. Slater J. National equine health surveys (NEHS) 2010–2012. Equine Quarterly Disease Surveillance Report 2012; 8: 11–14.
  38. Slater J. National equine health surveys: update from NEHS 2013. Equine Quarterly Disease Surveillance Report 2014; 10: 8–10.
  39. United States Department of Agriculture. National animal health surveillance system. (http://www.aphis.usda.gov/wps/portal/banner/help?1dmy&urile=wcm%3Apath%3A%2FAPHIS_Content_Library%2FSA_Our_Focus%2FSA_Animal_Health%2FSA_Monitoring_And_Surveillance%2FSA_NAHSS). Accessed 23 October 2014.

Citations

This article has been cited 4 times.
  1. Tapprest J, Foucher N, Linster M, Laloy E, Cordonnier N, Amat JP, Hendrikx P. Resumeq: A Novel Way of Monitoring Equine Diseases Through the Centralization of Necropsy Data. Front Vet Sci 2019;6:135.
    doi: 10.3389/fvets.2019.00135pubmed: 31134214google scholar: lookup
  2. Calba C, Goutard FL, Vanholme L, Antoine-Moussiaux N, Hendrikx P, Saegerman C. The Added-Value of Using Participatory Approaches to Assess the Acceptability of Surveillance Systems: The Case of Bovine Tuberculosis in Belgium. PLoS One 2016;11(7):e0159041.
    doi: 10.1371/journal.pone.0159041pubmed: 27462705google scholar: lookup
  3. Chikh M, Ngwa-Mbot D, Morignat E, Memeteau S, Amat JP. OASIS evaluation of the French laboratory diagnostic surveillance system: right people, right techniques but imperfect use. Front Vet Sci 2025;12:1419034.
    doi: 10.3389/fvets.2025.1419034pubmed: 41036537google scholar: lookup
  4. Scholtz M, Guthrie AJ, Newton R, Schulman ML. Review of Pseudomonas aeruginosa and Klebsiella pneumoniae as venereal pathogens in horses. Equine Vet J 2025 May;57(3):587-597.
    doi: 10.1111/evj.14201pubmed: 39103748google scholar: lookup
Subscribe to our newsletter
Join 99,005 horse owners like you who receive our email updates on horse health and nutrition.