A simulation model to determine the economic value of changing diagnostic characteristics for identifying bovine respiratory disease

Authors

  • M. E. Theurer Department of Diagnostic Medicine and Pathobiology, Kansas State University, Manhattan, KS 66506
  • B. J. White Department of Clinical Sciences, Kansas State University, Manhattan, KS 66506
  • R. L. Larson Department of Clinical Sciences, Kansas State University, Manhattan, KS 66506
  • T. C. Schroeder Department of Agriculture Economics, Kansas State University, Manhattan, KS 66506

DOI:

https://doi.org/10.21423/aabppro20134213

Keywords:

bovine respiratory disease, diagnostic, disease management, diagnostic sensitivity, Monte Carlo simulation

Abstract

Bovine respiratory disease (BRD) is an economically important syndrome in the beef industry, and diagnostic accuracy is important for optimal disease management. Diagnostic test improvements are typically focused on changing sensitivity or specificity, but enhancement in both simultaneously is rare. The research objective was to determine whether improving diagnostic sensitivity or specificity was of greater economic value at varied levels of BRD prevalence by the use of Monte Carlo simulation.

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Published

2013-09-19

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