Literature DB >> 20471708

A modelling approach to support dynamic decision-making in the control of FMD epidemics.

Lan Ge1, Monique C M Mourits, Anders R Kristensen, Ruud B M Huirne.   

Abstract

Most studies on control strategies for contagious diseases such as foot-and-mouth disease (FMD) evaluate pre-defined control strategies and imply static decision-making during epidemic control. Such a static approach contradicts the dynamic nature of the decision-making process during epidemic control. This paper presents an integrated epidemic-economic modelling approach to support dynamic decision-making in controlling FMD epidemics. This new modelling approach reflects ongoing uncertainty about epidemic growth during epidemic control and provides information required by a dynamic decision process. As demonstrated for a Dutch FMD-case, the modelling approach outperforms static evaluation of pre-fixed control strategies by: (1) providing guidance to decision-making during the entire control process; and (2) generating more realistic estimation of the costs of overreacting or underreacting in choosing control options. Copyright (c) 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20471708     DOI: 10.1016/j.prevetmed.2010.04.003

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  3 in total

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Authors:  Ozgur M Araz; Megan Jehn; Timothy Lant; John W Fowler
Journal:  J Med Syst       Date:  2010-10-20       Impact factor: 4.460

2.  Infectious disease pandemic planning and response: Incorporating decision analysis.

Authors:  Freya M Shearer; Robert Moss; Jodie McVernon; Joshua V Ross; James M McCaw
Journal:  PLoS Med       Date:  2020-01-09       Impact factor: 11.069

3.  A modelling framework based on MDP to coordinate farmers' disease control decisions at a regional scale.

Authors:  Anne-France Viet; Stéphane Krebs; Olivier Rat-Aspert; Laurent Jeanpierre; Catherine Belloc; Pauline Ezanno
Journal:  PLoS One       Date:  2018-06-13       Impact factor: 3.240

  3 in total

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