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Systems Approaches to Animal Disease Surveillance and Resource Allocation: Methodological Frameworks for Behavioral Analysis

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  • Karl M Rich
  • Matthew J Denwood
  • Alistair W Stott
  • Dominic J Mellor
  • Stuart W J Reid
  • George J Gunn

Abstract

While demands for animal disease surveillance systems are growing, there has been little applied research that has examined the interactions between resource allocation, cost-effectiveness, and behavioral considerations of actors throughout the livestock supply chain in a surveillance system context. These interactions are important as feedbacks between surveillance decisions and disease evolution may be modulated by their contextual drivers, influencing the cost-effectiveness of a given surveillance system. This paper identifies a number of key behavioral aspects involved in animal health surveillance systems and reviews some novel methodologies for their analysis. A generic framework for analysis is discussed, with exemplar results provided to demonstrate the utility of such an approach in guiding better disease control and surveillance decisions.

Suggested Citation

  • Karl M Rich & Matthew J Denwood & Alistair W Stott & Dominic J Mellor & Stuart W J Reid & George J Gunn, 2013. "Systems Approaches to Animal Disease Surveillance and Resource Allocation: Methodological Frameworks for Behavioral Analysis," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
    • Handle: RePEc:plo:pone00:0082019
    DOI: 10.1371/journal.pone.0082019
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    References listed on IDEAS

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    1. Rich, Karl M., 2007. "New Methods for Integrated Models of Animal Disease Control," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9701, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Rich, Karl M. & Ross, R. Brent & Baker, A. Derek & Negassa, Asfaw, 2011. "Quantifying value chain analysis in the context of livestock systems in developing countries," Food Policy, Elsevier, vol. 36(2), pages 214-222, April.
    3. Homer, J.B. & Hirsch, G.B., 2006. "System dynamics modeling for public health: Background and opportunities," American Journal of Public Health, American Public Health Association, vol. 96(3), pages 452-458.
    4. Radboud J. Duintjer Tebbens & Kimberly M. Thompson, 2009. "Priority Shifting and the Dynamics of Managing Eradicable Infectious Diseases," Management Science, INFORMS, vol. 55(4), pages 650-663, April.
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    Cited by:

    1. Julie Rivière & Yann Le Strat & Pascal Hendrikx & Barbara Dufour, 2018. "Perceptions and acceptability of some stakeholders about the bovine tuberculosis surveillance system for wildlife (Sylvatub) in France," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-18, March.
    2. Julie Rivière & Yann Le Strat & Pascal Hendrikx & Barbara Dufour, 2017. "Cost-effectiveness evaluation of bovine tuberculosis surveillance in wildlife in France (Sylvatub system) using scenario trees," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-17, August.
    3. Muflikh, Yanti Nuraeni & Smith, Carl & Aziz, Ammar Abdul, 2021. "A systematic review of the contribution of system dynamics to value chain analysis in agricultural development," Agricultural Systems, Elsevier, vol. 189(C).

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