Economic optimization of surveillance in livestock production chains

作者: X. Guo

DOI:

关键词:

摘要: Abstract Hazard surveillance in livestock production chains is an essential activity that usually conducted by organizations. Its importance has been highlighted the major crises occurred field of and food safety during last decades. Although extensive research to achieve improvement chains, they have limitations terms coverage economic aspects level detail modelling interactions between hazard dynamics activities. Hence, dissertation aims (1) improve understanding from perspective, (2) apply obtained knowledge for better model-based in-depth analysis surveillance. In this thesis, we first presents a conceptual framework single-hazard systems which differs most previous focusing on technical aspect We conclude approach scientifically credible applicability critically depends data availability. Then present optimization surveillance- portfolio consisting multiple hazards survey. This applies perspective investigate resource allocation problem, beyond state art mainly focuses single analyses. The credibility practicability were also checked. To demonstrate usefulness developed frameworks, two case studies are conducted. applied conduct comprehensive classical swine fever (CSF) Netherlands. results cost-effectiveness show alternative setups with “PCR rendered animals” effective moderately virulent CSF strain, whereas “routine serology slaughterhouses” or sow farms” low strain. Moreover, current system Netherlands cost-effective both strains. cost-benefit strain indicate adequate. From there little be gained intensifying surveillance-portfolio pig-hazard surveillance-portfolio, five pig-related hazards, Dutch company. draw conclusion organizations need use guide their allocation. because clearly shows arbitrarily allocating can cause efficiency losses (either higher costs SP performance).

参考文章(15)
S. Dürr, H. zu Dohna, E. Di Labio, T.E. Carpenter, M.G. Doherr, Evaluation of control and surveillance strategies for classical swine fever using a simulation model Preventive Veterinary Medicine. ,vol. 108, pp. 73- 84 ,(2013) , 10.1016/J.PREVETMED.2012.07.006
S. M. RAULO, T. LYYTIKÄINEN, Simulated detection of syndromic classical swine fever on a Finnish pig-breeding farm Epidemiology and Infection. ,vol. 135, pp. 218- 227 ,(2007) , 10.1017/S0950268806006704
N. C. FELD, L. EKEROTH, K. O. GRADEL, S. KABELL, M. MADSEN, Evaluation of a serological Salmonella mix-ELISA for poultry used in a national surveillance programme. Epidemiology and Infection. ,vol. 125, pp. 263- 268 ,(2000) , 10.1017/S0950268899004513
J.A. Backer, H. Brouwer, G. van Schaik, H.J.W. van Roermund, Using mortality data for early detection of Classical Swine Fever in The Netherlands Preventive Veterinary Medicine. ,vol. 99, pp. 38- 47 ,(2011) , 10.1016/J.PREVETMED.2010.10.008
D. Klinkenberg, M. Nielen, M.C.M. Mourits, M.C.M. de Jong, The effectiveness of classical swine fever surveillance programmes in The Netherlands. Preventive Veterinary Medicine. ,vol. 67, pp. 19- 37 ,(2005) , 10.1016/J.PREVETMED.2004.10.003
D.J. Prattley, R.S. Morris, M.A. Stevenson, R. Thornton, Application of portfolio theory to risk-based allocation of surveillance resources in animal populations. Preventive Veterinary Medicine. ,vol. 81, pp. 56- 69 ,(2007) , 10.1016/J.PREVETMED.2007.04.009
Gallant K.L. Chan, Kevin Y. Zhu, David J.Y. Chou, Ava J.Y. Guo, Tina T.X. Dong, Karl W.K. Tsim, Surveillance of nitrite level in cubilose: Evaluation of removal method and proposed origin of contamination Food Control. ,vol. 34, pp. 637- 644 ,(2013) , 10.1016/J.FOODCONT.2013.06.010
Daniela C. Hadorn, Vanessa Racloz, Heinzpeter Schwermer, Katharina D.C. Stärk, Establishing a cost-effective national surveillance system for Bluetongue using scenario tree modelling Veterinary Research. ,vol. 40, pp. 57- ,(2009) , 10.1051/VETRES/2009040
C. Terpstra, Epizootiology of swine fever. Veterinary Quarterly. ,vol. 9, pp. 50- 60 ,(1987) , 10.1080/01652176.1987.9694138