Decision-making for foot-and-mouth disease control: Objectives matter

William J.M. Probert, Katriona Shea, Christopher J. Fonnesbeck, Michael C. Runge, Tim E. Carpenter, Salome Dürr, M.G. Garner, Neil Harvey, Mark A. Stevenson, Colleen T. Webb, Marleen Werkman, Michael J. Tildesley, Matthew J. Ferrari

Research output: Contribution to journalArticleAcademicpeer-review

23 Citations (Scopus)

Abstract

Formal decision-analytic methods can be used to frame disease control problems, the first step of which is to define a clear and specific objective. We demonstrate the imperative of framing clearly-defined management objectives in finding optimal control actions for control of disease outbreaks. We illustrate an analysis that can be applied rapidly at the start of an outbreak when there are multiple stakeholders involved with potentially multiple objectives, and when there are also multiple disease models upon which to compare control actions. The output of our analysis frames subsequent discourse between policy-makers, modellers and other stakeholders, by highlighting areas of discord among different management objectives and also among different models used in the analysis. We illustrate this approach in the context of a hypothetical foot-and-mouth disease (FMD) outbreak in Cumbria, UK using outputs from five rigorously-studied simulation models of FMD spread. We present both relative rankings and relative performance of controls within each model and across a range of objectives. Results illustrate how control actions change across both the base metric used to measure management success and across the statistic used to rank control actions according to said metric. This work represents a first step towards reconciling the extensive modelling work on disease control problems with frameworks for structured decision making.

Original languageEnglish
Pages (from-to)10-19
JournalEpidemics
Volume15
DOIs
Publication statusPublished - 2016

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Foot-and-Mouth Disease
Disease Outbreaks
Decision Making
Administrative Personnel

Keywords

  • Decision making
  • Epidemiology
  • Foot-and-mouth disease
  • Management
  • Objectives
  • Optimisation

Cite this

Probert, W. J. M., Shea, K., Fonnesbeck, C. J., Runge, M. C., Carpenter, T. E., Dürr, S., ... Ferrari, M. J. (2016). Decision-making for foot-and-mouth disease control: Objectives matter. Epidemics, 15, 10-19. https://doi.org/10.1016/j.epidem.2015.11.002
Probert, William J.M. ; Shea, Katriona ; Fonnesbeck, Christopher J. ; Runge, Michael C. ; Carpenter, Tim E. ; Dürr, Salome ; Garner, M.G. ; Harvey, Neil ; Stevenson, Mark A. ; Webb, Colleen T. ; Werkman, Marleen ; Tildesley, Michael J. ; Ferrari, Matthew J. / Decision-making for foot-and-mouth disease control : Objectives matter. In: Epidemics. 2016 ; Vol. 15. pp. 10-19.
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Probert, WJM, Shea, K, Fonnesbeck, CJ, Runge, MC, Carpenter, TE, Dürr, S, Garner, MG, Harvey, N, Stevenson, MA, Webb, CT, Werkman, M, Tildesley, MJ & Ferrari, MJ 2016, 'Decision-making for foot-and-mouth disease control: Objectives matter' Epidemics, vol. 15, pp. 10-19. https://doi.org/10.1016/j.epidem.2015.11.002

Decision-making for foot-and-mouth disease control : Objectives matter. / Probert, William J.M.; Shea, Katriona; Fonnesbeck, Christopher J.; Runge, Michael C.; Carpenter, Tim E.; Dürr, Salome; Garner, M.G.; Harvey, Neil; Stevenson, Mark A.; Webb, Colleen T.; Werkman, Marleen; Tildesley, Michael J.; Ferrari, Matthew J.

In: Epidemics, Vol. 15, 2016, p. 10-19.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Decision-making for foot-and-mouth disease control

T2 - Objectives matter

AU - Probert, William J.M.

AU - Shea, Katriona

AU - Fonnesbeck, Christopher J.

AU - Runge, Michael C.

AU - Carpenter, Tim E.

AU - Dürr, Salome

AU - Garner, M.G.

AU - Harvey, Neil

AU - Stevenson, Mark A.

AU - Webb, Colleen T.

AU - Werkman, Marleen

AU - Tildesley, Michael J.

AU - Ferrari, Matthew J.

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N2 - Formal decision-analytic methods can be used to frame disease control problems, the first step of which is to define a clear and specific objective. We demonstrate the imperative of framing clearly-defined management objectives in finding optimal control actions for control of disease outbreaks. We illustrate an analysis that can be applied rapidly at the start of an outbreak when there are multiple stakeholders involved with potentially multiple objectives, and when there are also multiple disease models upon which to compare control actions. The output of our analysis frames subsequent discourse between policy-makers, modellers and other stakeholders, by highlighting areas of discord among different management objectives and also among different models used in the analysis. We illustrate this approach in the context of a hypothetical foot-and-mouth disease (FMD) outbreak in Cumbria, UK using outputs from five rigorously-studied simulation models of FMD spread. We present both relative rankings and relative performance of controls within each model and across a range of objectives. Results illustrate how control actions change across both the base metric used to measure management success and across the statistic used to rank control actions according to said metric. This work represents a first step towards reconciling the extensive modelling work on disease control problems with frameworks for structured decision making.

AB - Formal decision-analytic methods can be used to frame disease control problems, the first step of which is to define a clear and specific objective. We demonstrate the imperative of framing clearly-defined management objectives in finding optimal control actions for control of disease outbreaks. We illustrate an analysis that can be applied rapidly at the start of an outbreak when there are multiple stakeholders involved with potentially multiple objectives, and when there are also multiple disease models upon which to compare control actions. The output of our analysis frames subsequent discourse between policy-makers, modellers and other stakeholders, by highlighting areas of discord among different management objectives and also among different models used in the analysis. We illustrate this approach in the context of a hypothetical foot-and-mouth disease (FMD) outbreak in Cumbria, UK using outputs from five rigorously-studied simulation models of FMD spread. We present both relative rankings and relative performance of controls within each model and across a range of objectives. Results illustrate how control actions change across both the base metric used to measure management success and across the statistic used to rank control actions according to said metric. This work represents a first step towards reconciling the extensive modelling work on disease control problems with frameworks for structured decision making.

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KW - Epidemiology

KW - Foot-and-mouth disease

KW - Management

KW - Objectives

KW - Optimisation

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DO - 10.1016/j.epidem.2015.11.002

M3 - Article

VL - 15

SP - 10

EP - 19

JO - Epidemics

JF - Epidemics

SN - 1755-4365

ER -

Probert WJM, Shea K, Fonnesbeck CJ, Runge MC, Carpenter TE, Dürr S et al. Decision-making for foot-and-mouth disease control: Objectives matter. Epidemics. 2016;15:10-19. https://doi.org/10.1016/j.epidem.2015.11.002