Literature DB >> 32741991

Descriptive network analysis of a Standardbred horse training facility contact network: Implications for disease transmission.

Tanya M Rossi1, Rachael M Milwid1, Alison Moore1, Terri L O'Sullivan1, Amy L Greer1.   

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. Copyright and/or publishing rights held by the Canadian Veterinary Medical Association.

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Year:  2020        PMID: 32741991      PMCID: PMC7350062     

Source DB:  PubMed          Journal:  Can Vet J        ISSN: 0008-5286            Impact factor:   1.008


  27 in total

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3.  Respiratory viral infections among thoroughbred horses in training during 1972.

Authors:  D G Powell; R Burrows; D Goodridge
Journal:  Equine Vet J       Date:  1974-01       Impact factor: 2.888

4.  Network simulation modeling of equine infectious anemia in the non-racehorse population in Japan.

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Journal:  Prev Vet Med       Date:  2011-10-02       Impact factor: 2.670

5.  A longitudinal study describing horse demographics and movements during a competition season in Ontario, Canada.

Authors:  Kelsey L Spence; Terri L O'Sullivan; Zvonimir Poljak; Amy L Greer
Journal:  Can Vet J       Date:  2018-07       Impact factor: 1.008

6.  Association between respiratory disease and bacterial and viral infections in British racehorses.

Authors:  J L N Wood; J R Newton; N Chanter; J A Mumford
Journal:  J Clin Microbiol       Date:  2005-01       Impact factor: 5.948

Review 7.  A review of network analysis terminology and its application to foot-and-mouth disease modelling and policy development.

Authors:  C Dubé; C Ribble; D Kelton; B McNab
Journal:  Transbound Emerg Dis       Date:  2009-04       Impact factor: 5.005

8.  Seroprevalence of Toxoplasma gondii and Trichinella spiralis in finishing swine raised in different production systems in North Carolina, USA.

Authors:  P R Davies; W E Morrow; J Deen; H R Gamble; S Patton
Journal:  Prev Vet Med       Date:  1998-07-17       Impact factor: 2.670

9.  Streptococcus equi Infections in Horses: Guidelines for Treatment, Control, and Prevention of Strangles-Revised Consensus Statement.

Authors:  A G Boyle; J F Timoney; J R Newton; M T Hines; A S Waller; B R Buchanan
Journal:  J Vet Intern Med       Date:  2018-02-09       Impact factor: 3.333

10.  Application of network analysis parameters in risk-based surveillance - examples based on cattle trade data and bovine infections in Sweden.

Authors:  Jenny Frössling; Anna Ohlson; Camilla Björkman; Nina Håkansson; Maria Nöremark
Journal:  Prev Vet Med       Date:  2012-01-23       Impact factor: 2.670

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  1 in total

1.  Frequency of Detection and Prevalence Factors Associated with Common Respiratory Pathogens in Equids with Acute Onset of Fever and/or Respiratory Signs (2008-2021).

Authors:  Nicola Pusterla; Kaitlyn James; Samantha Barnum; Fairfield Bain; D Craig Barnett; Duane Chappell; Earl Gaughan; Bryant Craig; Chrissie Schneider; Wendy Vaala
Journal:  Pathogens       Date:  2022-07-02
  1 in total

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