Literature DB >> 17251150

Effect of data quality on estimates of farm infectiousness trends in the UK 2001 foot-and-mouth disease epidemic.

Nicholas J Savill1, Darren J Shaw, Rob Deardon, Michael J Tildesley, Matthew J Keeling, Mark E J Woolhouse, Stephen P Brooks, Bryan T Grenfell.   

Abstract

Most of the mathematical models that were developed to study the UK 2001 foot-and-mouth disease epidemic assumed that the infectiousness of infected premises was constant over their infectious periods. However, there is some controversy over whether this assumption is appropriate. Uncertainty about which farm infected which in 2001 means that the only method to determine if there were trends in farm infectiousness is the fitting of mechanistic mathematical models to the epidemic data. The parameter values that are estimated using this technique, however, may be influenced by missing and inaccurate data. In particular to the UK 2001 epidemic, this includes unreported infectives, inaccurate farm infection dates and unknown farm latent periods. Here, we show that such data degradation prevents successful determination of trends in farm infectiousness.

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Year:  2007        PMID: 17251150      PMCID: PMC2359844          DOI: 10.1098/rsif.2006.0178

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  11 in total

1.  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

2.  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

3.  Dynamics of the 2001 UK foot and mouth epidemic: stochastic dispersal in a heterogeneous landscape.

Authors:  M J Keeling; M E Woolhouse; D J Shaw; L Matthews; M Chase-Topping; D T Haydon; S J Cornell; J Kappey; J Wilesmith; B T Grenfell
Journal:  Science       Date:  2001-10-03       Impact factor: 47.728

4.  Landscape fragmentation and foot-and-mouth disease transmission.

Authors:  R R Kao
Journal:  Vet Rec       Date:  2001-06-16       Impact factor: 2.695

5.  Transmission intensity and impact of control policies on the foot and mouth epidemic in Great Britain.

Authors:  N M Ferguson; C A Donnelly; R M Anderson
Journal:  Nature       Date:  2001-10-04       Impact factor: 49.962

6.  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

7.  SECRETION OF FOOT-AND-MOUTH DISEASE VIRUS AND ANTIBODY IN THE SALIVA OF INFECTED AND IMMUNIZED CATTLE.

Authors:  N S HYSLOP
Journal:  J Comp Pathol       Date:  1965-04       Impact factor: 1.311

8.  Comparisons of original laboratory results and retrospective analysis by real-time reverse transcriptase-PCR of virological samples collected from confirmed cases of foot-and-mouth disease in the UK in 2001.

Authors:  N P Ferris; D P King; S M Reid; A E Shaw; G H Hutchings
Journal:  Vet Rec       Date:  2006-09-16       Impact factor: 2.695

9.  Optimal reactive vaccination strategies for a foot-and-mouth outbreak in the UK.

Authors:  Michael J Tildesley; Nicholas J Savill; Darren J Shaw; Rob Deardon; Stephen P Brooks; Mark E J Woolhouse; Bryan T Grenfell; Matt J Keeling
Journal:  Nature       Date:  2006-03-02       Impact factor: 49.962

10.  A generic spreadsheet model of a disease epidemic with application to the first 100 days of the 2001 outbreak of foot-and-mouth disease in the UK.

Authors:  I Ap Dewi; B Molina-Flores; G Edwards-Jones
Journal:  Vet J       Date:  2004-03       Impact factor: 2.688

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  7 in total

1.  Genetic characterization of a new pandemic Southeast Asia topotype strain of serotype O foot-and-mouth disease virus isolated in China during 2010.

Authors:  Haixue Zheng; Jijun He; Jianhong Guo; Ye Jin; Fan Yang; Lv Lv; Xiangtao Liu
Journal:  Virus Genes       Date:  2011-09-20       Impact factor: 2.332

2.  Integrating genetic and epidemiological data to determine transmission pathways of foot-and-mouth disease virus.

Authors:  Eleanor M Cottam; Gaël Thébaud; Jemma Wadsworth; John Gloster; Leonard Mansley; David J Paton; Donald P King; Daniel T Haydon
Journal:  Proc Biol Sci       Date:  2008-04-22       Impact factor: 5.349

3.  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 4.  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

5.  Bayesian analysis for inference of an emerging epidemic: citrus canker in urban landscapes.

Authors:  Franco M Neri; Alex R Cook; Gavin J Gibson; Tim R Gottwald; Christopher A Gilligan
Journal:  PLoS Comput Biol       Date:  2014-04-24       Impact factor: 4.475

6.  Accuracy of models for the 2001 foot-and-mouth epidemic.

Authors:  Michael J Tildesley; Rob Deardon; Nicholas J Savill; Paul R Bessell; Stephen P Brooks; Mark E J Woolhouse; Bryan T Grenfell; Matt J Keeling
Journal:  Proc Biol Sci       Date:  2008-06-22       Impact factor: 5.349

Review 7.  Supersize me: how whole-genome sequencing and big data are transforming epidemiology.

Authors:  Rowland R Kao; Daniel T Haydon; Samantha J Lycett; Pablo R Murcia
Journal:  Trends Microbiol       Date:  2014-03-22       Impact factor: 17.079

  7 in total

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