Animal movements can be represented as a network of herds connected by the trade of animals. Endemic livestock diseases, like Bovine Tuberculosis (bTB) in Northern Ireland (NI), could be facilitated through the networks’ structure via the movement of infected animals. Social network analysis assesses movements by calculating network metrics and provides insight into the influence of movements. This method can also be used to evaluate movement restrictions by creating new networks based on changes to the original ones; this study assessed the effect of node removal, either randomly or selectively by considering each nodes’ influence. The results suggest that removing nodes based on their influence was more effective than random removal in splitting the networks into many more components. However, the success of targeting nodes was limited due to the connectivity of farms across NI, and suggests that disease control strategies should account for this limitation when being applied to animal movements.
|Publication status||Published - 2018|
|Event||SVEPM Conference & Annual General Meeting of the Society - Tallinn, Estonia|
Duration: 21 Mar 2018 → 23 Mar 2018
|Conference||SVEPM Conference & Annual General Meeting of the Society|
|Period||21/03/2018 → 23/03/2018|
FingerprintDive into the research topics of 'A Study of Cattle Movements in Northern Ireland for 2005-2015 using Social Network Analysis.'. Together they form a unique fingerprint.
Student thesis: Doctoral Thesis › Doctor of PhilosophyFile