The Library
Decision-making for foot-and-mouth disease control : objectives matter
Tools
Tools
Tools
Probert, William J. M. , Shea, Katriona, Fonnesbeck, Christopher J., Runge, Michael C., Carpenter, Tim E., Dürr, Salome, Garner, M. G. (Michael Graeme), Harvey, Neil, Stevenson, Mark A., Webb, Colleen T., Werkman, Marleen, Tildesley, Michael J. and Ferrari, Matthew J. (2016) Decision-making for foot-and-mouth disease control : objectives matter. Epidemics, 15 . pp. 10-19. doi:10.1016/j.epidem.2015.11.002 ISSN 1755-4365.
|
PDF
WRAP_2016_probert_decision-making_for_foot-and-mouth_disease_control-_objectives_matter.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (1942Kb) | Preview |
Official URL: http://dx.doi.org/10.1016/j.epidem.2015.11.002
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.
| Item Type: | Journal Article | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Subjects: | S Agriculture > SF Animal culture | ||||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) | ||||||||||
| Library of Congress Subject Headings (LCSH): | Epidemics, Foot-and-mouth disease | ||||||||||
| Journal or Publication Title: | Epidemics | ||||||||||
| Publisher: | Elsevier BV | ||||||||||
| ISSN: | 1755-4365 | ||||||||||
| Official Date: | June 2016 | ||||||||||
| Dates: |
|
||||||||||
| Volume: | 15 | ||||||||||
| Page Range: | pp. 10-19 | ||||||||||
| DOI: | 10.1016/j.epidem.2015.11.002 | ||||||||||
| Status: | Peer Reviewed | ||||||||||
| Publication Status: | Published | ||||||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||||||
| Date of first compliant deposit: | 19 July 2016 | ||||||||||
| Date of first compliant Open Access: | 19 July 2016 | ||||||||||
| Funder: | United States. Department of Homeland Security. Science and Technology Directorate, National Science Foundation (U.S.) (NSF), National Institutes of Health (U.S.) (NIH), Bill & Melinda Gates Foundation, Biotechnology and Biological Sciences Research Council (Great Britain) (BBSRC) | ||||||||||
| Grant number: | 1 R01 GM105247-01 (NSF), BB/K010972/3 (BBSRC) |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
