Network analysis of swine shipments in Ontario, Canada, to support disease spread modelling and risk-based disease management

S. Dorjee, C. W. Revie, Z. Poljak, W. B. McNab, J. Sanchez

Research output: Contribution to journalArticle

40 Citations (Scopus)
6 Downloads (Pure)

Abstract

Understanding contact networks are important for modelling and managing the spread and control of communicable diseases in populations. This study characterizes the swine shipment network of a multi-site production system in southwestern Ontario, Canada. Data were extracted from a company's database listing swine shipments among 251 swine farms, including 20 sow, 69 nursery and 162 finishing farms, for the 2-year period of 2006 to 2007. Several network metrics were generated. The number of shipments per week between pairs of farms ranged from 1 to 6. The medians (and ranges) of out-degree were: sow 6 (1-21), nursery 8 (0-25), and finishing 0 (0-4), over the entire 2-year study period. Corresponding estimates for in-degree of nursery and finishing farms were 3 (0-9) and 3 (0-12) respectively. Outgoing and incoming infection chains (OIC and IIC), were also measured. The medians (ranges) of the monthly OIC and IIC were 0 (0-8) and 0 (0-6), respectively, with very similar measures observed for 2-week intervals. Nursery farms exhibited high measures of centrality. This indicates that they pose greater risks of disease spread in the network. Therefore, they should be given a high priority for disease prevention and control measures affecting all age groups alike. The network demonstrated scale-free and small-world topologies as observed in other livestock shipment studies. This heterogeneity in contacts among farm types and network topologies should be incorporated in simulation models to improve their validity. In conclusion, this study provided useful epidemiological information and parameters for the control and modelling of disease spread among swine farms, for the first time from Ontario, Canada.

Original languageEnglish
Pages (from-to)118-127
Number of pages10
JournalPreventive Veterinary Medicine
Volume112
Issue number1-2
Early online date26 Jul 2013
DOIs
Publication statusPublished - 1 Oct 2013

Fingerprint

Ontario
Disease Management
Canada
disease control
Swine
Nurseries
farms
swine
finishing
topology
sows
Communicable Disease Control
disease prevention
Livestock
Farms
infectious diseases
control methods
simulation models
production technology
livestock

Keywords

  • modelling parameters
  • network analysis
  • pigs
  • shipments/movement
  • swine

Cite this

@article{763b95b888bd444aab33577dfcea65ef,
title = "Network analysis of swine shipments in Ontario, Canada, to support disease spread modelling and risk-based disease management",
abstract = "Understanding contact networks are important for modelling and managing the spread and control of communicable diseases in populations. This study characterizes the swine shipment network of a multi-site production system in southwestern Ontario, Canada. Data were extracted from a company's database listing swine shipments among 251 swine farms, including 20 sow, 69 nursery and 162 finishing farms, for the 2-year period of 2006 to 2007. Several network metrics were generated. The number of shipments per week between pairs of farms ranged from 1 to 6. The medians (and ranges) of out-degree were: sow 6 (1-21), nursery 8 (0-25), and finishing 0 (0-4), over the entire 2-year study period. Corresponding estimates for in-degree of nursery and finishing farms were 3 (0-9) and 3 (0-12) respectively. Outgoing and incoming infection chains (OIC and IIC), were also measured. The medians (ranges) of the monthly OIC and IIC were 0 (0-8) and 0 (0-6), respectively, with very similar measures observed for 2-week intervals. Nursery farms exhibited high measures of centrality. This indicates that they pose greater risks of disease spread in the network. Therefore, they should be given a high priority for disease prevention and control measures affecting all age groups alike. The network demonstrated scale-free and small-world topologies as observed in other livestock shipment studies. This heterogeneity in contacts among farm types and network topologies should be incorporated in simulation models to improve their validity. In conclusion, this study provided useful epidemiological information and parameters for the control and modelling of disease spread among swine farms, for the first time from Ontario, Canada.",
keywords = "modelling parameters, network analysis, pigs, shipments/movement, swine",
author = "S. Dorjee and Revie, {C. W.} and Z. Poljak and McNab, {W. B.} and J. Sanchez",
year = "2013",
month = "10",
day = "1",
doi = "10.1016/j.prevetmed.2013.06.008",
language = "English",
volume = "112",
pages = "118--127",
journal = "Preventive Veterinary Medicine",
issn = "0167-5877",
number = "1-2",

}

Network analysis of swine shipments in Ontario, Canada, to support disease spread modelling and risk-based disease management. / Dorjee, S.; Revie, C. W.; Poljak, Z.; McNab, W. B.; Sanchez, J.

In: Preventive Veterinary Medicine, Vol. 112, No. 1-2, 01.10.2013, p. 118-127.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Network analysis of swine shipments in Ontario, Canada, to support disease spread modelling and risk-based disease management

AU - Dorjee, S.

AU - Revie, C. W.

AU - Poljak, Z.

AU - McNab, W. B.

AU - Sanchez, J.

PY - 2013/10/1

Y1 - 2013/10/1

N2 - Understanding contact networks are important for modelling and managing the spread and control of communicable diseases in populations. This study characterizes the swine shipment network of a multi-site production system in southwestern Ontario, Canada. Data were extracted from a company's database listing swine shipments among 251 swine farms, including 20 sow, 69 nursery and 162 finishing farms, for the 2-year period of 2006 to 2007. Several network metrics were generated. The number of shipments per week between pairs of farms ranged from 1 to 6. The medians (and ranges) of out-degree were: sow 6 (1-21), nursery 8 (0-25), and finishing 0 (0-4), over the entire 2-year study period. Corresponding estimates for in-degree of nursery and finishing farms were 3 (0-9) and 3 (0-12) respectively. Outgoing and incoming infection chains (OIC and IIC), were also measured. The medians (ranges) of the monthly OIC and IIC were 0 (0-8) and 0 (0-6), respectively, with very similar measures observed for 2-week intervals. Nursery farms exhibited high measures of centrality. This indicates that they pose greater risks of disease spread in the network. Therefore, they should be given a high priority for disease prevention and control measures affecting all age groups alike. The network demonstrated scale-free and small-world topologies as observed in other livestock shipment studies. This heterogeneity in contacts among farm types and network topologies should be incorporated in simulation models to improve their validity. In conclusion, this study provided useful epidemiological information and parameters for the control and modelling of disease spread among swine farms, for the first time from Ontario, Canada.

AB - Understanding contact networks are important for modelling and managing the spread and control of communicable diseases in populations. This study characterizes the swine shipment network of a multi-site production system in southwestern Ontario, Canada. Data were extracted from a company's database listing swine shipments among 251 swine farms, including 20 sow, 69 nursery and 162 finishing farms, for the 2-year period of 2006 to 2007. Several network metrics were generated. The number of shipments per week between pairs of farms ranged from 1 to 6. The medians (and ranges) of out-degree were: sow 6 (1-21), nursery 8 (0-25), and finishing 0 (0-4), over the entire 2-year study period. Corresponding estimates for in-degree of nursery and finishing farms were 3 (0-9) and 3 (0-12) respectively. Outgoing and incoming infection chains (OIC and IIC), were also measured. The medians (ranges) of the monthly OIC and IIC were 0 (0-8) and 0 (0-6), respectively, with very similar measures observed for 2-week intervals. Nursery farms exhibited high measures of centrality. This indicates that they pose greater risks of disease spread in the network. Therefore, they should be given a high priority for disease prevention and control measures affecting all age groups alike. The network demonstrated scale-free and small-world topologies as observed in other livestock shipment studies. This heterogeneity in contacts among farm types and network topologies should be incorporated in simulation models to improve their validity. In conclusion, this study provided useful epidemiological information and parameters for the control and modelling of disease spread among swine farms, for the first time from Ontario, Canada.

KW - modelling parameters

KW - network analysis

KW - pigs

KW - shipments/movement

KW - swine

UR - http://www.scopus.com/inward/record.url?scp=84882280727&partnerID=8YFLogxK

U2 - 10.1016/j.prevetmed.2013.06.008

DO - 10.1016/j.prevetmed.2013.06.008

M3 - Article

C2 - 23896577

AN - SCOPUS:84882280727

VL - 112

SP - 118

EP - 127

JO - Preventive Veterinary Medicine

JF - Preventive Veterinary Medicine

SN - 0167-5877

IS - 1-2

ER -