Modelling the effectiveness of collaborative schemes for disease and pest outbreak prevention

Andrew Matthew Bate, Glyn Jones, A Kleczkowski, Julia M. Touza

Research output: Contribution to journalArticlepeer-review


Preventing disease outbreaks has widespread benefits that are dependent on the actions of many agents but can be undermined by the inaction of others. This paper explores whether a voluntary biosecurity-related assurance scheme can be an effective mechanism for curbing the risks of animal and plant pests and diseases. The decision to engage in such schemes is modelled using a coalition game where agents consider both direct costs of infection and regional outbreak costs like trade bans and movement restrictions. We find that government needs to support the scheme through incentives that reduce members’ outbreak costs like pre-agreed outbreak compensation or preferential regulatory treatment. Assurance schemes could provide significant improvements in biosecurity if membership is high; but without government incentives, stable coalitions
are either small or ineffective at improving biosecurity. Government support can lead to large coalitions and robust improvement in overall biosecurity, with the optimal level of support being the smallest incentive that leads to a stable grand coalition. Policies that focus on either monetary or non-monetary incentives can lead to more robust improvements in biosecurity. In particular, targeting regional outbreak costs to members like movement restrictions leads to improved biosecurity for all levels of support.
Original languageEnglish
Article number109411
Number of pages10
JournalEcological Modelling
Early online date13 Jan 2021
Publication statusE-pub ahead of print - 13 Jan 2021

Bibliographical note

© 2021 Elsevier B.V. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.


  • Animal health
  • Plant health
  • Disease prevention
  • Disease control
  • Coalition game
  • Biosecurity

Cite this