Literature DB >> 18328581

Modelling foot-and-mouth disease: a comparison between the UK and Denmark.

Michael J Tildesley1, Matt J Keeling.   

Abstract

Whilst the UK 2001 FMD (foot-and-mouth disease) outbreak provides an extremely rich source of spatio-temporal epidemic data, it is not clear how the models and parameters from the UK can be translated to other scenarios. Here we consider how the model framework used to capture the UK epidemic can be applied to a hypothetical FMD outbreak in Denmark. Whilst pigs played a relatively minor role in the UK epidemic (being the infected animal on just 18 farms), they dominate the Danish livestock landscape. In addition, it is not clear whether transmission parameters from the UK will transfer to Denmark where farming practices may be significantly different. We therefore explore a large volume of high-dimensional parameter space, but seek to relate final epidemic size, risk of spread to Danish islands and potential success of control measures, to early indicators of epidemic dynamics. The results of this extensive modelling exercise therefore allow us to provide timely advice on control options based on the observed behaviours of the first few generations.

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Year:  2008        PMID: 18328581     DOI: 10.1016/j.prevetmed.2008.01.008

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


  16 in total

1.  Estimating the kernel parameters of premises-based stochastic models of farmed animal infectious disease epidemics using limited, incomplete, or ongoing data.

Authors:  Chris Rorres; Sky T K Pelletier; Matt J Keeling; Gary Smith
Journal:  Theor Popul Biol       Date:  2010-05-07       Impact factor: 1.570

2.  Modeling the spread and control of foot-and-mouth disease in Pennsylvania following its discovery and options for control.

Authors:  Michael J Tildesley; Gary Smith; Matt J Keeling
Journal:  Prev Vet Med       Date:  2011-12-12       Impact factor: 2.670

3.  Impact of spatial clustering on disease transmission and optimal control.

Authors:  Michael J Tildesley; Thomas A House; Mark C Bruhn; Ross J Curry; Maggie O'Neil; Justine L E Allpress; Gary Smith; Matt J Keeling
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-01       Impact factor: 11.205

4.  Stochastic modeling of animal epidemics using data collected over three different spatial scales.

Authors:  Chris Rorres; Sky T K Pelletier; Gary Smith
Journal:  Epidemics       Date:  2011-06       Impact factor: 4.396

5.  Ongoing estimation of the epidemic parameters of a stochastic, spatial, discrete-time model for a 1983-84 avian influenza epidemic.

Authors:  C Rorres; S T K Pelletier; M C Bruhn; G Smith
Journal:  Avian Dis       Date:  2011-03       Impact factor: 1.577

Review 6.  Data-Driven Models of Foot-and-Mouth Disease Dynamics: A Review.

Authors:  L W Pomeroy; S Bansal; M Tildesley; K I Moreno-Torres; M Moritz; N Xiao; T E Carpenter; R B Garabed
Journal:  Transbound Emerg Dis       Date:  2015-11-18       Impact factor: 5.005

7.  The role of pre-emptive culling in the control of foot-and-mouth disease.

Authors:  Michael J Tildesley; Paul R Bessell; Matt J Keeling; Mark E J Woolhouse
Journal:  Proc Biol Sci       Date:  2009-07-01       Impact factor: 5.349

8.  Spatial and temporal investigations of reported movements, births and deaths of cattle and pigs in Sweden.

Authors:  Maria Nöremark; Nina Håkansson; Tom Lindström; Uno Wennergren; Susanna Sternberg Lewerin
Journal:  Acta Vet Scand       Date:  2009-10-07       Impact factor: 1.695

9.  Disease prevention versus data privacy: using landcover maps to inform spatial epidemic models.

Authors:  Michael J Tildesley; Sadie J Ryan
Journal:  PLoS Comput Biol       Date:  2012-11-01       Impact factor: 4.475

10.  A comparison between two simulation models for spread of foot-and-mouth disease.

Authors:  Tariq Halasa; Anette Boklund; Anders Stockmarr; Claes Enøe; Lasse E Christiansen
Journal:  PLoS One       Date:  2014-03-25       Impact factor: 3.240

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