1
|
Brown J, Physick-Sheard P, Greer A, Poljak Z. Network analysis of Standardbred horse movements between racetracks in Canada and the United States in 2019: Implications for disease spread and control. Prev Vet Med 2022; 204:105643. [DOI: 10.1016/j.prevetmed.2022.105643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 01/20/2022] [Accepted: 04/02/2022] [Indexed: 10/18/2022]
|
2
|
Brankston G, Rossi TM, O'Sullivan TL, Greer AL. Diagnostic testing patterns for Streptococcus equi subsp. equi in Ontario horses during the years 2008 to 2018. THE CANADIAN VETERINARY JOURNAL = LA REVUE VETERINAIRE CANADIENNE 2021; 62:629-636. [PMID: 34219772 PMCID: PMC8118178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
This retrospective study describes testing patterns and the incidence of Streptococcus equi subsp. equi in Ontario to assess the utility of laboratory data for surveillance purposes. Laboratory records for equine infectious disease test submissions were extracted from the Animal Health Laboratory (AHL) at the University of Guelph for the years 2008 to 2018. Yearly and seasonal trends in S. equi testing and the proportion of tests that returned positive results were assessed. The number of samples submitted for S. equi testing decreased over the 11-year period (odds ratio = 0.96, 95% confidence interval: 0.92 to 0.999; P = 0.04). A generalized linear model identified a significant seasonal effect for animals recognized as clinically ill, with the highest test positivity noted in the winter. Although this study identified important trends in the incidence of S. equi in Ontario, the variability in information accompanying test submissions made the data challenging to interpret, highlighting the need for more complete diagnostic submission data for S. equi.
Collapse
Affiliation(s)
- Gabrielle Brankston
- Department of Population Medicine, University of Guelph, 50 Stone Road East, Guelph, Ontario N1G 2W1
| | - Tanya M Rossi
- Department of Population Medicine, University of Guelph, 50 Stone Road East, Guelph, Ontario N1G 2W1
| | - Terri L O'Sullivan
- Department of Population Medicine, University of Guelph, 50 Stone Road East, Guelph, Ontario N1G 2W1
| | - Amy L Greer
- Department of Population Medicine, University of Guelph, 50 Stone Road East, Guelph, Ontario N1G 2W1
| |
Collapse
|
3
|
Rossi TM, Milwid RM, Moore A, O'Sullivan TL, Greer AL. Descriptive network analysis of a Standardbred horse training facility contact network: Implications for disease transmission. THE CANADIAN VETERINARY JOURNAL = LA REVUE VETERINAIRE CANADIENNE 2020; 61:853-859. [PMID: 32741991 PMCID: PMC7350062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Infectious respiratory disease is a common cause of morbidity among racehorses. Quantification of contact patterns in training facilities could help inform disease prevention strategies. The study objectives were to: i) describe the contact network among horses, locations, and humans at a Standardbred horse training facility in Ontario; ii) describe the characteristics of highly influential individuals; and iii) investigate how management changes alter the network metrics and discuss the potential implications for disease transmission. Proximity loggers detected contacts among horses, staff, and locations (n = 144). Network metrics and node centrality measures were described for a 2-mode and horse-only contact network. The 2-mode network density was 0.16. and the median node degree was 20 [interquartile range (IQR) = 12 to 27]. Yearlings and floating staff were most influential in the network suggesting biosecurity programs should emphasize reducing contacts in these groups. Removing highly influential staff or co-housing of age groups resulted in changes to network diameter and density.
Collapse
Affiliation(s)
- Tanya M Rossi
- Department of Population Medicine, University of Guelph, Guelph, Ontario (Rossi, Milwid, O'Sullivan, Greer); Ontario Ministry of Agriculture, Food, and Rural Affairs, Guelph, Ontario (Moore)
| | - Rachael M Milwid
- Department of Population Medicine, University of Guelph, Guelph, Ontario (Rossi, Milwid, O'Sullivan, Greer); Ontario Ministry of Agriculture, Food, and Rural Affairs, Guelph, Ontario (Moore)
| | - Alison Moore
- Department of Population Medicine, University of Guelph, Guelph, Ontario (Rossi, Milwid, O'Sullivan, Greer); Ontario Ministry of Agriculture, Food, and Rural Affairs, Guelph, Ontario (Moore)
| | - Terri L O'Sullivan
- Department of Population Medicine, University of Guelph, Guelph, Ontario (Rossi, Milwid, O'Sullivan, Greer); Ontario Ministry of Agriculture, Food, and Rural Affairs, Guelph, Ontario (Moore)
| | - Amy L Greer
- Department of Population Medicine, University of Guelph, Guelph, Ontario (Rossi, Milwid, O'Sullivan, Greer); Ontario Ministry of Agriculture, Food, and Rural Affairs, Guelph, Ontario (Moore)
| |
Collapse
|
4
|
Rossi TM, Moore A, O'Sullivan TL, Greer AL. Risk factors for duration of equine rhinitis A virus respiratory disease. Equine Vet J 2019; 52:369-373. [PMID: 31710114 DOI: 10.1111/evj.13204] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Accepted: 10/31/2019] [Indexed: 11/28/2022]
Abstract
BACKGROUND Infectious respiratory disease is common in young horses and can impact athletic performance and long-term health. Significant variation in the duration of clinical disease has been observed, even in the absence of secondary complications. The determination of factors associated with disease chronicity may facilitate clinical decision-making and the development of improved biosecurity protocols. OBJECTIVE To investigate contact network characteristics, and demographic variables associated with time to clinical recovery from Equine Rhinitis A virus respiratory disease. STUDY DESIGN Prospective cohort study. METHODS Yearling Standardbred racehorses (n = 58) housed in a multi-barn training facility in Southern Ontario were included. Horses were monitored daily for clinical signs of acute respiratory disease over a 41-day period in Autumn 2017. Contact patterns between horses, including older racehorses, were determined through use of proximity loggers attached to halters during the initial 7-day of the study. Associations between duration of disease, demographic factors (birth month, gait, sex and yearling sale), serologic titres and network metrics (degree, betweenness and Eigenvector centrality) were investigated using a Cox proportional hazard model. RESULTS Yearling attack rate for infectious respiratory disease was 87.9% (n = 51). Median time to recovery was 6 days (IQR = 1-32) and 17 horses were censored due to early withdrawal or failure to recover during the study period. In those yearlings born February-May, birth month was significant in the Cox proportional hazard model (Hazard Ratio 0.7, 95% CI 0.49-1, P = 0.05). MAIN LIMITATION Probability of censoring was not independent of outcome which necessitated use of sensitivity analysis. CONCLUSIONS These findings suggest late born foals are less likely to recover quickly from infectious respiratory disease.
Collapse
Affiliation(s)
- T M Rossi
- Department of Population Medicine, University of Guelph, Guelph, Ontario, Canada
| | - A Moore
- Ontario Ministry of Agriculture, Food, and Rural Affairs, Guelph, Ontario, Canada
| | - T L O'Sullivan
- Department of Population Medicine, University of Guelph, Guelph, Ontario, Canada
| | - A L Greer
- Department of Population Medicine, University of Guelph, Guelph, Ontario, Canada
| |
Collapse
|
5
|
Spence KL, O’Sullivan TL, Poljak Z, Greer AL. Descriptive analysis of horse movement networks during the 2015 equestrian season in Ontario, Canada. PLoS One 2019; 14:e0219771. [PMID: 31295312 PMCID: PMC6622551 DOI: 10.1371/journal.pone.0219771] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 07/01/2019] [Indexed: 11/19/2022] Open
Abstract
Horses are a highly mobile population, with many travelling locally, nationally, and internationally to participate in shows and sporting events. However, the nature and extent of these movements, as well as the potential impact they may have on disease introduction and spread, is not well documented. The objective of this study was to characterise the movement network of a sample of horses in Ontario, Canada, over a 7-month equestrian season. Horse owners (n = 141) documented their travel patterns with their horse(s) (n = 330) by completing monthly online questionnaires between May and November 2015. Directed networks were constructed to represent horse movements in 1-month time periods. A total of 1754 horse movements met the inclusion criteria for analysis. A variety of location types were included in each monthly network, with many including non-facilities such as parks, trails, and private farms. Only 34.3% of competitions attended by participants during the study period were regulated by an official equestrian organisation. Comparisons of the similarity between monthly networks indicated that participants did not travel to the same locations each month, and the most connected locations varied between consecutive months. While the findings should not be generalized to the wider horse population, they have provided greater insight into the nature and extent of observed horse movement patterns. The results support the need to better understand the variety of locations to which horses can travel in Ontario, as different types of locations may have different associated risks of disease introduction and spread.
Collapse
Affiliation(s)
- Kelsey L. Spence
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada
| | - Terri L. O’Sullivan
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada
| | - Zvonimir Poljak
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada
| | - Amy L. Greer
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada
- * E-mail:
| |
Collapse
|
6
|
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. [PMID: 30918893 PMCID: PMC6424864 DOI: 10.3389/fvets.2019.00071] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Accepted: 02/19/2019] [Indexed: 11/13/2022] Open
Abstract
Respiratory disease is a common morbidity of young racehorses. Infections can lead to compromised welfare, and economic loss. Identification of risk factors for infection through clinical signs monitoring and collection of demographic, serologic, and contact network data can aid in the development of prevention and control strategies. The study objectives were to: (1) describe the transmission and clinical course of infectious respiratory disease in standardbred racehorses in a multi-barn training facility and, (2) identify demographic, serological, and contact network risk factors associated with Equine Rhinitis A virus (ERAV) respiratory disease. The study population included standardbred racehorses (age 1-5 years: n = 96) housed at a multi-barn training facility in southern Ontario. Clinical signs were monitored daily over a 41-day period in fall 2017. Descriptive statistics, including incidence rate, prevalence and incidence risk were calculated for the observed period. Associations between demographic, serologic, and contact pattern variables, and clinical disease status were investigated using multivariable logistic regression. Respiratory disease cases were characterized by mucopurulent discharge (100%), intermittent cough (37.7%), and ocular discharge (62.3%). Fever (>38.5°C) and inappetence were rarely reported (15.2 and 3.8%). Seroconversion to ERAV among cases was 75%. Total, and yearling-specific incidence risks were 52.5 and 87.9%. The cumulative incidence was 0.027 new cases/horse day. A negative association (OR = 0.011) between increasing age and respiratory disease was significant (p = < 0.001) in the final regression model. Yearling horses were at increased risk of infectious respiratory disease as demonstrated by the high yearling-specific incidence risk, and the negative association between age and infection. Disease control strategies, such as vaccination programs and isolation of new horses arriving from auction, should be targeted at young animals entering training facilities.
Collapse
Affiliation(s)
- Tanya M Rossi
- Department of Population Medicine, University of Guelph, Guelph, ON, Canada
| | - Alison Moore
- Ontario Ministry of Agriculture, Food, and Rural Affairs, Guelph, ON, Canada
| | - Terri L O'Sullivan
- Department of Population Medicine, University of Guelph, Guelph, ON, Canada
| | - Amy L Greer
- Department of Population Medicine, University of Guelph, Guelph, ON, Canada
| |
Collapse
|
7
|
Cárdenas NC, Galvis JOA, Farinati AA, Grisi-Filho JHH, Diehl GN, Machado G. Burkholderia mallei: The dynamics of networks and disease transmission. Transbound Emerg Dis 2018; 66:715-728. [PMID: 30427593 DOI: 10.1111/tbed.13071] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Revised: 11/02/2018] [Accepted: 11/07/2018] [Indexed: 12/25/2022]
Abstract
Glanders is a highly infectious zoonotic disease caused by Burkholderia mallei. The transmission of B. mallei occurs mainly by direct contact, and horses are the natural reservoir. Therefore, the identification of infection sources within horse populations and animal movements is critical to enhance disease control. Here, we analysed the dynamics of horse movements from 2014 to 2016 using network analysis in order to understand the flow of animals in two hierarchical levels, municipalities and farms. The municipality-level network was used to investigate both community clustering and the balance between the municipality's trades and the farm-level network associations between B. mallei outbreaks and the network centrality measurements, analysed by spatio-temporal generalized additive model (GAM). Causal paths were established for the dispersion of B. mallei outbreaks through the network. Our approach captured and established a direct relationship between movement of infected equines and predicted B. mallei outbreaks. The GAM model revealed that the parameters in degree and closeness centrality out were positively associated with B. mallei. In addition, we also detected 10 communities with high commerce among municipalities. The role of each municipality within the network was detailed, and significant changes in the structures of the network were detected over the course of 3 years. The results suggested the necessity to focus on structural changes of the networks over time to better control glanders disease. The identification of farms with a putative risk of B. mallei infection using the horse movement network provided a direct opportunity for disease control through active surveillance, thus minimizing economic losses and risks for human cases of B. mallei.
Collapse
Affiliation(s)
- Nicolás C Cárdenas
- Department of Preventive Veterinary Medicine and Animal Health, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, Brazil
| | - Jason O A Galvis
- Department of Preventive Veterinary Medicine and Animal Health, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, Brazil
| | - Alicia A Farinati
- Departamento de Saúde Animal, Secretaria de Defesa Agropecuária, Ministério da Agricultura Pecuária e Abastecimento, Brasília, Brazil
| | - José H H Grisi-Filho
- Department of Preventive Veterinary Medicine and Animal Health, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, Brazil
| | - Gustavo N Diehl
- Secretary of Agriculture, Livestock and Agribusiness of State of Rio Grande do Sul (SEAPA-RS), Porto Alegre, Brazil
| | - Gustavo Machado
- Department of Population Health and Pathobiology, College of Veterinary Medicine, Raleigh, North Carolina
| |
Collapse
|
8
|
Spence KL, O'Sullivan TL, Poljak Z, Greer AL. A longitudinal study describing horse demographics and movements during a competition season in Ontario, Canada. THE CANADIAN VETERINARY JOURNAL = LA REVUE VETERINAIRE CANADIENNE 2018; 59:783-790. [PMID: 30026628 PMCID: PMC6005130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
The objective of this study was to describe the demographics and movement patterns of a sample of horses in Ontario, Canada. A convenience sample of 222 owners completed an initial questionnaire to provide demographic information for 570 horses. These horses were enrolled in a longitudinal study to document their movements from May to November 2015 using a monthly questionnaire. The median age of the participating horses was 11 years (IQR: 8 to 16 years). The primary discipline of participating horses included competitive disciplines (63.3%), leisure (33.3%), and racing (3.2%). During the 7-month period, there were 3001 unidirectional movements of horses between facilities. Reasons for travel on/off a facility included attending a competition (38.7%), leisure activities (18.8%), and training (7.5%). The demographic and movement data presented in this study provide insight into the characteristics of a subset of horses in Ontario, and may contribute to outbreak preparedness in the population.
Collapse
Affiliation(s)
- Kelsey L Spence
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario
| | - Terri L O'Sullivan
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario
| | - Zvonimir Poljak
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario
| | - Amy L Greer
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario
| |
Collapse
|