Literature DB >> 16024382

Models of foot-and-mouth disease.

Matt J Keeling1.   

Abstract

During the 2001 foot-and-mouth disease outbreak in the UK, three very different models were used in an attempt to predict the disease dynamics and inform control measures. This was one of the first times that models had been used during an epidemic to support the decision-making process. It is probable that models will play a pivotal role in any future livestock epidemics, and it is therefore important that decision makers, veterinarians and farmers understand the uses and limitations of models. This review describes the utility of models in general before focusing on the three foot-and-mouth disease models used in 2001. Finally, the future of modelling is discussed, analysing the advances needed if models are to be successfully applied during any subsequent epidemics.

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Year:  2005        PMID: 16024382      PMCID: PMC1564112          DOI: 10.1098/rspb.2004.3046

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  47 in total

1.  EpiMAN-FMD: a decision support system for managing epidemics of vesicular disease.

Authors:  R L Sanson; R S Morris; M W Stern
Journal:  Rev Sci Tech       Date:  1999-12       Impact factor: 1.181

2.  The foot-and-mouth epidemic in Great Britain: pattern of spread and impact of interventions.

Authors:  N M Ferguson; C A Donnelly; R M Anderson
Journal:  Science       Date:  2001-04-12       Impact factor: 47.728

3.  Group did give timely foot-and-mouth analysis.

Authors:  R M Anderson; N M Ferguson; C A Donnelly
Journal:  Nature       Date:  2001-09-06       Impact factor: 49.962

4.  An integrated model to predict the atmospheric spread of foot-and-mouth disease virus.

Authors:  J H Sørensen; D K Mackay; C O Jensen; A I Donaldson
Journal:  Epidemiol Infect       Date:  2000-06       Impact factor: 2.451

5.  Modeling alternative mitigation strategies for a hypothetical outbreak of foot-and-mouth disease in the United States.

Authors:  Mark A Schoenbaum; W Terry Disney
Journal:  Prev Vet Med       Date:  2003-04-30       Impact factor: 2.670

6.  Results of epidemic simulation modeling to evaluate strategies to control an outbreak of foot-and-mouth disease.

Authors:  Thomas W Bates; Mark C Thurmond; Tim E Carpenter
Journal:  Am J Vet Res       Date:  2003-02       Impact factor: 1.156

7.  The impact of local heterogeneity on alternative control strategies for foot-and-mouth disease.

Authors:  Rowland R Kao
Journal:  Proc Biol Sci       Date:  2003-12-22       Impact factor: 5.349

Review 8.  Economic costs of the foot and mouth disease outbreak in the United Kingdom in 2001.

Authors:  D Thompson; P Muriel; D Russell; P Osborne; A Bromley; M Rowland; S Creigh-Tyte; C Brown
Journal:  Rev Sci Tech       Date:  2002-12       Impact factor: 1.181

9.  A decision-tree to optimise control measures during the early stage of a foot-and-mouth disease epidemic.

Authors:  F H M Tomassen; A de Koeijer; M C M Mourits; A Dekker; A Bouma; R B M Huirne
Journal:  Prev Vet Med       Date:  2002-08-30       Impact factor: 2.670

Review 10.  Unintended events following immunization with MMR: a systematic review.

Authors:  Tom Jefferson; Deirdre Price; Vittorio Demicheli; Elvira Bianco
Journal:  Vaccine       Date:  2003-09-08       Impact factor: 3.641

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  51 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.  Optimizing surveillance for livestock disease spreading through animal movements.

Authors:  Paolo Bajardi; Alain Barrat; Lara Savini; Vittoria Colizza
Journal:  J R Soc Interface       Date:  2012-06-22       Impact factor: 4.118

4.  Parameterizing state-space models for infectious disease dynamics by generalized profiling: measles in Ontario.

Authors:  Giles Hooker; Stephen P Ellner; Laura De Vargas Roditi; David J D Earn
Journal:  J R Soc Interface       Date:  2010-11-17       Impact factor: 4.118

5.  Early detection surveillance for an emerging plant pathogen: a rule of thumb to predict prevalence at first discovery.

Authors:  S Parnell; T R Gottwald; N J Cunniffe; V Alonso Chavez; F van den Bosch
Journal:  Proc Biol Sci       Date:  2015-09-07       Impact factor: 5.349

6.  Epidemiological consequences of an incursion of highly pathogenic H5N1 avian influenza into the British poultry flock.

Authors:  Kieran J Sharkey; Roger G Bowers; Kenton L Morgan; Susan E Robinson; Robert M Christley
Journal:  Proc Biol Sci       Date:  2008-01-07       Impact factor: 5.349

7.  Deterministic epidemiological models at the individual level.

Authors:  Kieran J Sharkey
Journal:  J Math Biol       Date:  2008-02-14       Impact factor: 2.259

8.  Uncertainties in the governance of animal disease: an interdisciplinary framework for analysis.

Authors:  Robert Fish; Zoe Austin; Robert Christley; Philip M Haygarth; A Louise Heathwaite; Louise A Heathwaite; Sophia Latham; William Medd; Maggie Mort; David M Oliver; Roger Pickup; Jonathan M Wastling; Brian Wynne
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-07-12       Impact factor: 6.237

Review 9.  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

Review 10.  Parameterization of the duration of infection stages of serotype O foot-and-mouth disease virus: an analytical review and meta-analysis with application to simulation models.

Authors:  Fernando Mardones; Andrés Perez; Javier Sanchez; Mohammad Alkhamis; Tim Carpenter
Journal:  Vet Res       Date:  2010-03-08       Impact factor: 3.683

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