Literature DB >> 25078780

Evaluating vaccination strategies to control foot-and-mouth disease: a model comparison study.

S E Roche1, M G Garner1, R L Sanson2, C Cook3, C Birch3, J A Backer4, C Dube5, K A Patyk6, M A Stevenson7, Z D Yu8, T G Rawdon8, F Gauntlett3.   

Abstract

Simulation models can offer valuable insights into the effectiveness of different control strategies and act as important decision support tools when comparing and evaluating outbreak scenarios and control strategies. An international modelling study was performed to compare a range of vaccination strategies in the control of foot-and-mouth disease (FMD). Modelling groups from five countries (Australia, New Zealand, USA, UK, The Netherlands) participated in the study. Vaccination is increasingly being recognized as a potentially important tool in the control of FMD, although there is considerable uncertainty as to how and when it should be used. We sought to compare model outputs and assess the effectiveness of different vaccination strategies in the control of FMD. Using a standardized outbreak scenario based on data from an FMD exercise in the UK in 2010, the study showed general agreement between respective models in terms of the effectiveness of vaccination. Under the scenario assumptions, all models demonstrated that vaccination with 'stamping-out' of infected premises led to a significant reduction in predicted epidemic size and duration compared to the 'stamping-out' strategy alone. For all models there were advantages in vaccinating cattle-only rather than all species, using 3-km vaccination rings immediately around infected premises, and starting vaccination earlier in the control programme. This study has shown that certain vaccination strategies are robust even to substantial differences in model configurations. This result should increase end-user confidence in conclusions drawn from model outputs. These results can be used to support and develop effective policies for FMD control.

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Keywords:  vaccination

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Year:  2014        PMID: 25078780      PMCID: PMC9507177          DOI: 10.1017/S0950268814001927

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   4.434


  22 in total

1.  Descriptive epidemiology of the 2001 foot-and-mouth disease epidemic in Great Britain: the first five months.

Authors:  J C Gibbens; C E Sharpe; J W Wilesmith; L M Mansley; E Michalopoulou; J B Ryan; M Hudson
Journal:  Vet Rec       Date:  2001-12-15       Impact factor: 2.695

Review 2.  Decision-support tools for foot and mouth disease control.

Authors:  R S Morris; R L Sanson; M W Stern; M Stevenson; J W Wilesmith
Journal:  Rev Sci Tech       Date:  2002-12       Impact factor: 1.181

3.  Foot and mouth disease model verification and 'relative validation' through a formal model comparison.

Authors:  R L Sanson; N Harvey; M G Garner; M A Stevenson; T M Davies; M L Hazelton; J O'Connor; C Dubé; K N Forde-Folle; K Owen
Journal:  Rev Sci Tech       Date:  2011-08       Impact factor: 1.181

4.  Vaccination against foot-and-mouth disease II: Regaining FMD-free status.

Authors:  J A Backer; B Engel; A Dekker; H J W van Roermund
Journal:  Prev Vet Med       Date:  2012-06-20       Impact factor: 2.670

Review 5.  Use and abuse of mathematical models: an illustration from the 2001 foot and mouth disease epidemic in the United Kingdom.

Authors:  R P Kitching; M V Thrusfield; N M Taylor
Journal:  Rev Sci Tech       Date:  2006-04       Impact factor: 1.181

6.  Comparing control strategies against foot-and-mouth disease: will vaccination be cost-effective in Denmark?

Authors:  A Boklund; T Halasa; L E Christiansen; C Enøe
Journal:  Prev Vet Med       Date:  2013-06-20       Impact factor: 2.670

7.  InterSpread Plus: a spatial and stochastic simulation model of disease in animal populations.

Authors:  M A Stevenson; R L Sanson; M W Stern; B D O'Leary; M Sujau; N Moles-Benfell; R S Morris
Journal:  Prev Vet Med       Date:  2012-09-17       Impact factor: 2.670

8.  Vaccination against foot-and-mouth disease I: epidemiological consequences.

Authors:  J A Backer; T J Hagenaars; G Nodelijk; H J W van Roermund
Journal:  Prev Vet Med       Date:  2012-07-01       Impact factor: 2.670

9.  Airborne spread of foot-and-mouth disease--model intercomparison.

Authors:  John Gloster; Andrew Jones; Alison Redington; Laura Burgin; Jens H Sørensen; Richard Turner; Michael Dillon; Pam Hullinger; Matthew Simpson; Poul Astrup; Graeme Garner; Paul Stewart; Réal D'Amours; Robert Sellers; David Paton
Journal:  Vet J       Date:  2009-01-12       Impact factor: 2.688

10.  Modelling vaccination strategies against foot-and-mouth disease.

Authors:  M J Keeling; M E J Woolhouse; R M May; G Davies; B T Grenfell
Journal:  Nature       Date:  2002-12-22       Impact factor: 49.962

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  17 in total

1.  Bayesian data assimilation provides rapid decision support for vector-borne diseases.

Authors:  Chris P Jewell; Richard G Brown
Journal:  J R Soc Interface       Date:  2015-07-06       Impact factor: 4.118

Review 2.  BOARD INVITED REVIEW: Prospects for improving management of animal disease introductions using disease-dynamic models.

Authors:  Ryan S Miller; Kim M Pepin
Journal:  J Anim Sci       Date:  2019-05-30       Impact factor: 3.159

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

Authors:  William J M Probert; Katriona Shea; Christopher J Fonnesbeck; Michael C Runge; Tim E Carpenter; Salome Dürr; M Graeme Garner; Neil Harvey; Mark A Stevenson; Colleen T Webb; Marleen Werkman; Michael J Tildesley; Matthew J Ferrari
Journal:  Epidemics       Date:  2015-12-10       Impact factor: 4.396

4.  Evaluating vaccination strategies to control foot-and-mouth disease: a country comparison study.

Authors:  T G Rawdon; M G Garner; R L Sanson; M A Stevenson; C Cook; C Birch; S E Roche; K A Patyk; K N Forde-Folle; C Dubé; T Smylie; Z D Yu
Journal:  Epidemiol Infect       Date:  2018-05-22       Impact factor: 4.434

5.  A Bayesian ensemble approach for epidemiological projections.

Authors:  Tom Lindström; Michael Tildesley; Colleen Webb
Journal:  PLoS Comput Biol       Date:  2015-04-30       Impact factor: 4.475

6.  Spatiotemporal Variation in Distance Dependent Animal Movement Contacts: One Size Doesn't Fit All.

Authors:  Peter Brommesson; Uno Wennergren; Tom Lindström
Journal:  PLoS One       Date:  2016-10-19       Impact factor: 3.240

7.  Market Impact of Foot-and-Mouth Disease Control Strategies: A UK Case Study.

Authors:  Siyi Feng; Myles Patton; John Davis
Journal:  Front Vet Sci       Date:  2017-09-01

8.  Modelling farm-to-farm disease transmission through personnel movements: from visits to contacts, and back.

Authors:  Gianluigi Rossi; Rebecca L Smith; Stefano Pongolini; Luca Bolzoni
Journal:  Sci Rep       Date:  2017-05-24       Impact factor: 4.379

9.  Quantifying the Value of Perfect Information in Emergency Vaccination Campaigns.

Authors:  Naomi V Bradbury; William J M Probert; Katriona Shea; Michael C Runge; Christopher J Fonnesbeck; Matt J Keeling; Matthew J Ferrari; Michael J Tildesley
Journal:  PLoS Comput Biol       Date:  2017-02-16       Impact factor: 4.475

10.  Early Decision Indicators for Foot-and-Mouth Disease Outbreaks in Non-Endemic Countries.

Authors:  Michael G Garner; Iain J East; Mark A Stevenson; Robert L Sanson; Thomas G Rawdon; Richard A Bradhurst; Sharon E Roche; Pham Van Ha; Tom Kompas
Journal:  Front Vet Sci       Date:  2016-11-30
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