Using national movement databases to help inform responses to swine disease outbreaks in Scotland: the impact of uncertainty around incursion time - Archive ouverte HAL
Article Dans Une Revue Scientific Reports Année : 2016

Using national movement databases to help inform responses to swine disease outbreaks in Scotland: the impact of uncertainty around incursion time

Lisa Boden
  • Fonction : Auteur
Carla Correia-Gomes
  • Fonction : Auteur
Harriet Auty
  • Fonction : Auteur
George Gunn
  • Fonction : Auteur
Mark Woolhouse
  • Fonction : Auteur

Résumé

Abstract Modelling is an important component of contingency planning and control of disease outbreaks. Dynamic network models are considered more useful than static models because they capture important dynamic patterns of farm behaviour as evidenced through animal movements. This study evaluates the usefulness of a dynamic network model of swine fever to predict pre-detection spread via movements of pigs, when there may be considerable uncertainty surrounding the time of incursion of infection. It explores the utility and limitations of animal movement data to inform such models and as such, provides some insight into the impact of improving traceability through real-time animal movement reporting and the use of electronic animal movement databases. The study concludes that the type of premises and uncertainty of the time of disease incursion will affect model accuracy and highlights the need for improvements in these areas.

Dates et versions

hal-04612778 , version 1 (14-06-2024)

Identifiants

Citer

Thibaud Porphyre, Lisa Boden, Carla Correia-Gomes, Harriet Auty, George Gunn, et al.. Using national movement databases to help inform responses to swine disease outbreaks in Scotland: the impact of uncertainty around incursion time. Scientific Reports, 2016, 6 (1), pp.20258. ⟨10.1038/srep20258⟩. ⟨hal-04612778⟩
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