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Optimal surveillance against foot-and-mouth disease: the case of bulk milk testing in Australia

Author

Listed:
  • Tom Kompas
  • Pham Van Ha
  • Hoa Thi Minh Nguyen
  • Iain East
  • Sharon Roche
  • Graeme Garner

Abstract

Previous foot-and-mouth disease (FMD) outbreaks and simulation-based analyses suggest substantial payoffs from detecting an incursion early. However, no economic measures for early detection have been analysed in an optimising framework. We investigate the use of bulk milk testing (BMT) for active surveillance against an FMD incursion in Australia. We find that BMT can be justified, but only when the FMD entry probability is sufficiently high or the cost of BMT is low. However, BMT is well suited for post-outbreak surveillance, to shorten the length of time and size of an epidemic and to facilitate an earlier return to market.
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Suggested Citation

  • Tom Kompas & Pham Van Ha & Hoa Thi Minh Nguyen & Iain East & Sharon Roche & Graeme Garner, 2017. "Optimal surveillance against foot-and-mouth disease: the case of bulk milk testing in Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(4), pages 515-538, October.
    • Handle: RePEc:bla:ajarec:v:61:y:2017:i:4:p:515-538
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    File URL: http://hdl.handle.net/10.1111/1467-8489.12224
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    Cited by:

    1. Tom Kompas & Pham Van Ha & Hoa-Thi-Minh Nguyen & Graeme Garner & Sharon Roche & Iain East, 2020. "Optimal surveillance against foot-and-mouth disease: A sample average approximation approach," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-21, July.
    2. Tom Kompas & Long Chu & Pham Van Ha & Daniel Spring, 2019. "Budgeting and portfolio allocation for biosecurity measures," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(3), pages 412-438, July.

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