Compatibility between livestock databases used for quantitative biosecurity response in New Zealand

References

• *Anonymous. Exercise Taurus 2012 final report. http://www.biosecurity.govt.nz/files/pests/foot-n-mouth/mpi-ex-taurus-2012-external-evalu-report.pdf (accessed 20 October 2015). Ministry for Primary Industries, Wellington, NZ, 2012
   Google Scholar
• Brooks-Pollock E, Roberts GO, Keeling MJ. A dynamic model of bovine tuberculosis spread and control in Great Britain. Nature 511, 228–31, 2014 doi: 10.1038/nature13529
   PubMed Web of Science ®Google Scholar
• Chis Ster I, Dodd PJ, Ferguson NM. Within-farm transmission dynamics of foot and mouth disease as revealed by the 2001 epidemic in Great Britain. Epidemics 4, 158–69, 2012 doi: 10.1016/j.epidem.2012.07.002
   PubMed Web of Science ®Google Scholar
• Cohen J. A coefficient of agreement for nominal scales. Educational and Psychological Measurement 20, 37–46, 1960 doi: 10.1177/001316446002000104
   Web of Science ®Google Scholar
• Diggle PJ. A kernel method for smoothing point process data. Applied Statistics 34, 138–47, 1985 doi: 10.2307/2347366
   Web of Science ®Google Scholar
• Eames K, Keeling M. Contact tracing and disease control. Proceedings of the Royal Society B 270, 2565–71, 2003
   Google Scholar
• Ellis-Iverson J, Smith RP, Gibbens JC, Sharpe CE, Dominguez M, Cook AJC. Risk factors for transmission of foot-and-mouth disease during an outbreak in southern England in 2007. Veterinary Record 168, 128–33, 2011
   Google Scholar
• Firestone SM, Christley RM, Ward MP, Dhand NK. Adding the spatial dimension to the social network analysis of an epidemic: Investigation of the 2007 outbreak of equine influenza in Australia. Prevative Veterinary Medicine 106, 123–35, 2012 doi: 10.1016/j.prevetmed.2012.01.020
   PubMed Web of Science ®Google Scholar
• Flood J, Porphyre T, Tildesley M, Woolhouse M. The performance of approximations of farm contiguity compared to contiguity defined using detailed geographical information in two sample areas in Scotland: implications for foot-and-mouth disease modelling. BMC Veterinary Research 9, 198, 2013 doi: 10.1186/1746-6148-9-198
   PubMed Web of Science ®Google Scholar
• Jewell CP, Brown RG. Bayesian data assimilation provides rapid decision support for vector-borne diseases. Journal of the Royal Society Interface 12, 20150367, 2015 doi: 10.1098/rsif.2015.0367
   PubMed Web of Science ®Google Scholar
• Jewell CP, Kypraios T, Neal P, Roberts GO. Bayesian analysis for emerging infectious diseases. Bayesian Analysis 4, 465–96, 2009a doi: 10.1214/09-BA417
   Web of Science ®Google Scholar
• Jewell CP, Keeling MJ, Roberts GO. Predicting undetected infections during the 2007 foot-and-mouth disease outbreak. Journal of the Royal Society Interface 6, 1145–51, 2009b doi: 10.1098/rsif.2008.0433
   PubMed Web of Science ®Google Scholar
• Kitching RP, Thrusfield M, Taylor NM. Use and abuse of mathematical models: an illustration from the 2001 foot and mouth disease epidemic in the United Kingdom. Revue Scientifique et Technique de l'Office International des Epizooties 25, 293–311, 2006
   PubMed Web of Science ®Google Scholar
• Landis J, Koch G. The measurement of observer agreement for categorical data. Biometrics 33, 159–74, 1977 doi: 10.2307/2529310
   PubMed Web of Science ®Google Scholar
• Lawrence K, McFadden AMJ, Gias E, Pulford DJ, Pomroy W. Epidemiology of the epidemic of bovine anaemia associated with Theileria orientalis (Ikeda) between August 2012 and March 2014. New Zealand Veterinary Journal 64, 38–47, 2015 doi: 10.1080/00480169.2015.1090894
   PubMed Web of Science ®Google Scholar
• Lysons RE, Gibbens JC, Smith LH. Progress with enhancing veterinary surveillance in the United Kingdom. Veterinary Record 160, 105–12, 2007 doi: 10.1136/vr.160.4.105
   PubMed Web of Science ®Google Scholar
• Métras R, Jewell CP, Porphyre T, Thompson PN, Pfeiffer DU, Collins LM, White RG. Risk factors associated with Rift Valley fever epidemics in South Africa in 2008–11. Scientific Reports 5, 9492, 2015 doi: 10.1038/srep09492
   PubMed Web of Science ®Google Scholar
• Robinson SE, Everett MG, Christley RM. Recent network evolution increases the potential for large epidemics in the British cattle population. Journal of the Royal Society Interface. 4, 669–74, 2007 doi: 10.1098/rsif.2007.0214
   PubMed Web of Science ®Google Scholar
• *Sanson RL. The development of a decision support system for an animal disease emergency. PhD thesis, Massey University, Palmerston North, NZ, 1993
   Google Scholar
• Shekhar S, Chawla S. Spatial Databases: A Tour. Prentice Hall, Upper Saddle River, USA, 2003.
   Google Scholar
• Stevenson MA, Sanson RL, Miranda AO, Lawrence KA, Morris RS. Decision support systems for monitoring and maintaining health in food animal populations. New Zealand Veterinary Journal 55, 264–72, 2007 doi: 10.1080/00480169.2007.36780
   PubMed Web of Science ®Google Scholar
• Stevenson MA, Sanson RL, Stern MW, O'Leary BD, Sujau M, Moles-Benfell M, Morris RS. InterSpread Plus: a spatial and stochastic simulation model of disease in animal populations. Preventative Veterinary Medicine 109, 10–24, 2013 doi: 10.1016/j.prevetmed.2012.08.015
   PubMed Web of Science ®Google Scholar
• Strong DM, Lee YW, Wang RY. Data quality in context. Communications of the ACM 40, 103–10, 1997 doi: 10.1145/253769.253804
   Web of Science ®Google Scholar
• Tildesley M, Savill N, Shaw D, Deardon R, Brooks S, Woolhouse M, Grenfell B, Keeling M. Optimal reactive vaccination strategies for a foot-and-mouth outbreak in the UK. Nature 440, 83–6, 2006 doi: 10.1038/nature04324
   PubMed Web of Science ®Google Scholar
• Volkova VV, Howey R, Savill NJ, Woolhouse MEJ. Sheep movement networks and the transmission of infectious diseases. PLoS ONE 5, e11185, 2010 doi: 10.1371/journal.pone.0011185
   Google Scholar