Skip to main content
×
×
Home

A conceptual framework for economic optimization of an animal health surveillance portfolio

  • X. GUO (a1), G. D. H. CLAASSEN (a2), A. G. J. M. OUDE LANSINK (a1) and H. W. SAATKAMP (a1)
Summary

Decision making on hazard surveillance in livestock product chains is a multi-hazard, multi-stakeholder, and multi-criteria process that includes a variety of decision alternatives. The multi-hazard aspect means that the allocation of the scarce resource for surveillance should be optimized from the point of view of a surveillance portfolio (SP) rather than a single hazard. In this paper, we present a novel conceptual approach for economic optimization of a SP to address the resource allocation problem for a surveillance organization from a theoretical perspective. This approach uses multi-criteria techniques to evaluate the performances of different settings of a SP, taking cost-benefit aspects of surveillance and stakeholders’ preferences into account. The credibility of the approach has also been checked for conceptual validity, data needs and operational validity; the application potentials of the approach are also discussed.

Copyright
Corresponding author
*Author for correspondence: Mr X. Guo, Business Economics Group, Department of Social Sciences, Wageningen University, Hollandseweg 1, 6706 KN Wageningen, The Netherlands. (Email: xuezhen.guo@wur.nl)
References
Hide All
1. Guo, X, et al. A conceptual framework for economic optimization of single hazard surveillance in livestock production chains. Preventive Veterinary Medicine 2015; 114: 188200.
2. Feld, NC, et al. Evaluation of a serological Salmonella Mix-ELISA for poultry used in a national surveillance programme. Epidemiology and Infection 2000; 125: 263268.
3. Raulo, SM, Lyytikainen, T. Simulated detection of syndromic classical swine fever on a Finnish pig-breeding farm. Epidemiology and Infection 2007; 135: 218227.
4. Häsler, B, Howe, K, Stark, K. Conceptualising the technical relationship of animal disease surveillance to intervention and mitigation as a basis for economic analysis. BMC Health Services Research 2011; 11: 225.
5. Martinez, M, et al. Evaluating surveillance in wild birds by the application of risk assessment of avian influenza introduction into Spain. Epidemiology and Infection 2011; 139: 9198.
6. Todd, E, Notermans, S. Surveillance of listeriosis and its causative pathogen, Listeria monocytogenes . Food Control 2011; 22: 14841490.
7. Häsler, B, et al. Economic evaluation of the surveillance and intervention programme for bluetongue virus serotype 8 in Switzerland. Preventive Veterinary Medicine 2012; 103: 93111.
8. Chan, GK, et al. Surveillance of nitrite level in cubilose: evaluation of removal method and proposed origin of contamination. Food Control 2013; 34: 637644.
9. Durr, S, et al. Evaluation of control and surveillance strategies for classical swine fever using a simulation model. Preventive Veterinary Medicine 2013; 108: 7384.
10. Prattley, DJ, et al. Application of portfolio theory to risk-based allocation of surveillance resources in animal populations. Preventive Veterinary Medicine 2007; 81: 5669.
11. Prattley, DJ. Risk-based surveillance in animal health (PhD thesis), Massey University, New Zealand, 2009.
12. Longworth, N, Mourits, MCM, Saatkamp, HW. Economic analysis of HPAI control in the Netherlands I: epidemiological modelling to support economic analysis. Transboundary and Emerging Diseases 2012; 61: 199206.
13. Longworth, N, Mourits, MCM, Saatkamp, HW. Economic analysis of HPAI control in the Netherlands II: comparison of control strategies. Transboundary and Emerging Diseases 2012; 61: 217232.
14. Mourits, MCM, van Asseldonk, MAPM, Huirne, RBM. Multi Criteria Decision Making to evaluate control strategies of contagious animal diseases. Preventive Veterinary Medicine 2010; 96: 201210.
15. Howe, K, Häsler, B, Stärk, K. Economic principles for resource allocation decisions at national level to mitigate the effects of disease in farm animal populations. Epidemiology and Infection 2013; 141: 91101.
16. Hoinville, LJ. Proposed terms and concepts for describing and evaluating animal-health surveillance systems. Preventive Veterinary Medicine 2013; 112: 112.
17. Dynan, KE. Habit formation in consumer preferences: evidence from panel data. American Economic Review 2000; 90: 391406.
18. Carpenter, CE, Cornforth, DP, Whittier, D. Consumer preferences for beef color and packaging did not affect eating satisfaction. Meat Science 2001; 57: 359363.
19. Booth, D, et al. Consumer-specified instrumental quality of short-dough cookie texture using penetrometry and break force. Journal of Food Science 2003; 68: 382387.
20. Backer, JABR, et al. Control of highly pathogenic avian influenza; epidemiological and economic aspects. LEI report 032. 2011.
21. Koopmans, MFR, et al. Update on human infections with highly pathogenic avian influenza virus A/H7N7 during an outbreak in poultry in the Netherlands. Eurosurveillance 2003; 7(18).
22. Valkenburgh, S, et al. Zoonoses and zoonotic agents in humans, food, animals and feed in the Netherlands, 2007. (Report by Voedsel en Waren Autoriteit).
23. Mangen, MJJ, et al. Spatial and stochastic simulation to compare two emergency-vaccination strategies with a marker vaccine in the 1997/1998 Dutch classical swine fever epidemic. Preventive Veterinary Medicine 2001; 48: 177200.
24. Hallerbach, W, et al. A framework for managing a portfolio of socially responsible investments. European Journal of Operational Research 2004; 153: 517529.
25. Montibeller, G, et al. Structuring resource allocation decisions: a framework for building multi-criteria portfolio models with area-grouped options. European Journal of Operational Research 2009; 199: 846856.
26. Wabiri, N, Amusa, H. Quantifying South Africa's crude oil import risk: a multi-criteria portfolio model. Economic Modelling 2010; 27: 445453.
27. Ballestero, E, et al. Socially responsible investment: a multi-criteria approach to portfolio selection combining ethical and financial objectives. European Journal of Operational Research 2012; 216: 487494.
28. Frank, RE, Strain, CE. A segmentation research design using consumer panel data. Journal of Marketing Research 1972; 9: 385390.
29. Saaty, TL. Analytic Hierarchy Process. Encyclopedia of Biostatistics. Chichester: John Wiley & Sons, Ltd, 2005.
30. Green, PE, Srinivasan, V. Conjoint analysis in marketing: new developments with implications for research and practice. Journal of Marketing 1990; 54: 319.
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Epidemiology & Infection
  • ISSN: 0950-2688
  • EISSN: 1469-4409
  • URL: /core/journals/epidemiology-and-infection
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Keywords:

Metrics

Full text views

Total number of HTML views: 9
Total number of PDF views: 67 *
Loading metrics...

Abstract views

Total abstract views: 335 *
Loading metrics...

* Views captured on Cambridge Core between September 2016 - 13th June 2018. This data will be updated every 24 hours.