Skip to main content Skip to main navigation Skip to search
ABARES

Top navigation abares

  • Department
  • Ministers
  • Media Centre
Main menu

Main navigation ABARES

  • ABARES Home
    ABARES Home
  • About
    About
  • Research topics
    Research topics
  • Products
    Products
  • Data
    Data
  • News
    News
  • Conferences and events
    Conferences and events
  • Careers
    Careers
Department of Agriculture

Breadcrumb

  1. DAFF Home
  2. ABARES
  3. Research topics
  4. Working papers
  5. Analytical distributions and statistics for managing import pathway risk using the continuous sampling plan CSP-1

Secondary ABARES

  • Working papers
    • Technical improvements to GTEM: Sticky livestock capital and resources costs for land sequestration and abatement technologies
    • A micro-simulation model of irrigation farms in the southern Murray-Darling Basin
    • A model of spatial and inter-temporal water trade in the southern Murray-Darling Basin

Analytical distributions and statistics for managing import pathway risk using the continuous sampling plan CSP-1

B. Barnes, G. Hood and F. Giannini

Overview

Australia imposes regulations on goods that arrive in the country and have the potential to introduce exotic pests and diseases.

Continuous sampling plans (CSP) are operational biosecurity systems commonly implemented at the border to manage risk and, simultaneously, keep regulatory inspection costs low. Currently, systems are underpinned by the results and proposed design-criteria in the classical work of Dodge (1943). In this paper, we extend that foundational work to include uncertainty and inspection sensitivity, both of which are highly relevant to Australian border operations where samples from arriving consignments, with low but variable levels of contamination, are selected and inspected.

We provide analytical distributions and statistics for all processes of the CSP-1 cycle, including expressions for variance, for the probability that leakage occurs, and for the volume of leakage conditional on occurrence. The effect of inspection sensitivity is included and explicit.

Results show that CSP design principles that assume a perfect detection process do not necessarily generalise to reduce risk   in biosecurity systems where detection may be imperfect,

and we outline how a combination of limiting constraints can be combined to design more reliable CSP systems when detection is imperfect.

Download the report

Analytical distributions and statistics for managing import pathway risk using the continuous sampling plan CSP-1 (PDF 999 KB)

If you have difficulty accessing these files, visit web accessibility for assistance.

Thanks for your feedback.
Thanks! Your feedback has been submitted.

We aren't able to respond to your individual comments or questions.
To contact us directly phone us or submit an online inquiry

CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

Please verify that you are not a robot.

Skip
Page last updated: 02 August 2022

We acknowledge the continuous connection of First Nations Traditional Owners and Custodians to the lands, seas and waters of Australia. We recognise their care for and cultivation of Country. We pay respect to Elders past and present, and recognise their knowledge and contribution to the productivity, innovation and sustainability of Australia’s agriculture, fisheries and forestry industries.

Artwork: Protecting our Country, Growing our Future
© Amy Allerton, contemporary Aboriginal Artist of the Gumbaynggirr, Bundjalung and Gamilaroi nations.

Footer

  • Contact us
  • Accessibility
  • Disclaimer
  • Privacy
  • FOI

© Department of Agriculture, Fisheries and Forestry

Facebook X LinkedIn Instagram