Analyze Diet
Preventive veterinary medicine2017; 151; 21-28; doi: 10.1016/j.prevetmed.2017.12.013

Estimating the potential for disease spread in horses associated with an equestrian show in Ontario, Canada using an agent-based model.

Abstract: Participation in equestrian shows provides opportunities for contact between horses, increasing the risk of disease introduction and spread within the population. The magnitude of a potential outbreak, and the impact of disease prevention and control strategies, can be estimated using simulation modeling. The objectives of this study were to (1) examine the potential spread of equine influenza in a network of horses associated with a 2-day equestrian show in Ontario, Canada; and (2) determine the effectiveness of several interventions during a simulated outbreak. A discrete-event, continuous-time, stochastic agent-based simulation model was constructed to represent horses associated with the show, including those in attendance at the show, and those that were not in attendance but co-boarded with attending horses at their home facilities. At the beginning of each simulation run, one random horse in attendance at the show was infected with equine influenza. In the absence of interventions, the median attack rate was 0.029 (IQR: 0.016-0.056; mean: 0.043; 95% CI: 0.040-0.044) and the average outbreak duration was 19.58 days (95% CI: 19.31-19.85). The most effective intervention was the implementation of either a 5-day or 14-day quarantine period, which both resulted in the same median attack rate of 0.0026 (IQR: 0.0013-0.0039), although the mean attack rates differed (mean: 0.0043, 95% CI: 0.0039-0.0046; and mean: 0.0029, 95% CI: 0.0028-0.0029; respectively). In instances where implementing either a 5-day or 14-day quarantine period would not be feasible, quarantine for shorter time periods was effective when combined with targeted increases in initial facility-level vaccine coverage. The combined implementation of a 2-day quarantine period and an increased vaccine coverage of 75% in facilities with four or more owners resulted in a median attack rate of 0.013 (IQR: 0.0052-0.026; mean: 0.022; 95% CI: 0.020-0.024). This study demonstrates a relative comparison of intervention effectiveness during a simulated outbreak of equine influenza in a population of horses associated with an equestrian show. The results have the potential to inform and improve the current strategies used to prevent the introduction and spread of disease within the equine population.
Publication Date: 2017-12-22 PubMed ID: 29496102DOI: 10.1016/j.prevetmed.2017.12.013Google 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.
  • Journal Article

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 research article assesses the potential for disease spread, specifically equine influenza, among horses at an equestrian show in Ontario, Canada, using an agent-based model. The study also examines the effectiveness of various interventions to control disease spread during a simulated outbreak.

Study Objectives and Methodology

  • The study had two main objectives. The first was to analyze the potential spread of equine influenza resulting from the two-day equestrian show. The second was to determine the effectiveness of several control and preventive strategies in a simulated outbreak scenario.
  • To fulfill these objectives, a discrete-event continuous-time stochastic agent-based simulation model was created. This model represented horses associated with the show, whether in attendance at the event, or those co-boarded with attending horses but not physically present at the show.
  • The simulation was started by infecting one arbitrary horse in attendance with equine influenza, then observing the potential outbreak effect without interventions.

Findings without Interventions

  • Without any interventions, the median attack rate (probability of horses in the population getting infected) was found to be 0.029, with the attack rate ranging from 0.016 to 0.056 in most cases. The mean attack rate was 0.043.
  • The average duration of outbreak under these circumstances was found to be just under 20 days.

Effectiveness of Interventions

  • A 5-day or 14-day quarantine was found to be the most effective intervention. This drastically reduced the median attack rate to 0.0026. However, the mean attack rates differed slightly for both quarantine durations.
  • In situations where a 5-day or 14-day quarantine wasn’t feasible, a shorter quarantine combined with a targeted increase in initial vaccine coverage at the facility level was found to be effective.
  • For instance, the combination of a 2-day quarantine and vaccine coverage of 75% in facilities housing four or more owners resulted in a reduced median attack rate of 0.013.

Application of Research Findings

  • This research provides a relative comparison of the effectiveness of various interventions during a simulated equine influenza outbreak following an equestrian show.
  • The findings may prove invaluable in informing and improving the current strategies meant to prevent and control the spread of diseases within the horse population.

Cite This Article

APA
Spence KL, O'Sullivan TL, Poljak Z, Greer AL. (2017). Estimating the potential for disease spread in horses associated with an equestrian show in Ontario, Canada using an agent-based model. Prev Vet Med, 151, 21-28. https://doi.org/10.1016/j.prevetmed.2017.12.013

Publication

ISSN: 1873-1716
NlmUniqueID: 8217463
Country: Netherlands
Language: English
Volume: 151
Pages: 21-28

Researcher Affiliations

Spence, Kelsey L
  • Department of Population Medicine, Ontario Veterinary College, University of Guelph, 50 Stone Rd E, Guelph, Ontario, N1G 2W1, Canada. Electronic address: kspenc04@uoguelph.ca.
O'Sullivan, Terri L
  • Department of Population Medicine, Ontario Veterinary College, University of Guelph, 50 Stone Rd E, Guelph, Ontario, N1G 2W1, Canada. Electronic address: tosulliv@uoguelph.ca.
Poljak, Zvonimir
  • Department of Population Medicine, Ontario Veterinary College, University of Guelph, 50 Stone Rd E, Guelph, Ontario, N1G 2W1, Canada. Electronic address: zpoljak@uoguelph.ca.
Greer, Amy L
  • Department of Population Medicine, Ontario Veterinary College, University of Guelph, 50 Stone Rd E, Guelph, Ontario, N1G 2W1, Canada. Electronic address: agreer@uoguelph.ca.

MeSH Terms

  • Animals
  • Disease Outbreaks / veterinary
  • Horse Diseases / epidemiology
  • Horse Diseases / prevention & control
  • Horse Diseases / transmission
  • Horses
  • Incidence
  • Models, Theoretical
  • Ontario / epidemiology
  • Orthomyxoviridae Infections / epidemiology
  • Orthomyxoviridae Infections / prevention & control
  • Orthomyxoviridae Infections / transmission
  • Orthomyxoviridae Infections / veterinary
  • Quarantine / statistics & numerical data
  • Quarantine / veterinary

Citations

This article has been cited 5 times.
  1. Rossi TM, O'Sullivan TL, Greer AL. Descriptive network analysis of Ontario, Canada equine competitions: implications for disease control. BMC Vet Res 2025 Dec 23;22(1):43.
    doi: 10.1186/s12917-025-05248-zpubmed: 41430608google scholar: lookup
  2. McGilvray TA, Stevens KB, Spence KL, Rosanowski SM, Slater J, Cardwell JM. Spatiotemporal patterns in British racing and equestrian sports: Implications for pathogen transmission. Equine Vet J 2026 Mar;58(2):497-507.
    doi: 10.1111/evj.70126pubmed: 41351275google scholar: lookup
  3. Germann JA, O'Sullivan TL, Greer AL, Spence KL. Biosecurity perceptions among Ontario horse owners during the COVID-19 pandemic. Equine Vet J 2025 Mar;57(2):459-470.
    doi: 10.1111/evj.14115pubmed: 38934765google scholar: lookup
  4. Cardenas NC, Sanchez F, Lopes FPN, Machado G. Coupling spatial statistics with social network analysis to estimate distinct risk areas of disease circulation to improve risk-based surveillance. Transbound Emerg Dis 2022 Sep;69(5):e2757-e2768.
    doi: 10.1111/tbed.14627pubmed: 35694801google scholar: lookup
  5. Rossi TM, Moore A, O'Sullivan TL, Greer AL. Equine Rhinitis A Virus Infection at a Standardbred Training Facility: Incidence, Clinical Signs, and Risk Factors for Clinical Disease. Front Vet Sci 2019;6:71.
    doi: 10.3389/fvets.2019.00071pubmed: 30918893google scholar: lookup