Adaptive sampling method to monitor low-risk pathways with limited surveillance resources

09/13/2023
by   Thao P. Le, et al.
0

The rise of globalisation has led to a sharp increase in international trade, with high volumes of containers, goods and items moving across the world. Unfortunately, these trade pathways also facilitate the movement of unwanted pests, weeds, diseases, and pathogens. Each item could contain biosecurity risk material, but it is impractical to inspect every item. Instead, inspection efforts typically focus on high risk items. However, low risk does not imply no risk. It is crucial to monitor the low risk pathways to ensure that they are and remain low risk. To do so, many approaches would seek to estimate the risk to some precision, but the lower the risk, the more samples needed to estimate the risk. On a low-risk pathway that can be afforded more limited inspection resources, it makes more sense to assign fewer samples to the lower risk activities. We approach the problem by introducing two thresholds. Our method focuses on letting us know whether the risk is below certain thresholds, rather than estimating the risk precisely. This method also allows us to detect a significant change in risk. Our approach typically requires less sampling than previous methods, while still providing evidence to regulators to help them efficiently and effectively allocate inspection effort.

READ FULL TEXT

page 9

page 10

research
08/23/2020

Item Quality Control in Educational Testing: Change Point Model, Compound Risk, and Sequential Detection

In standardized educational testing, test items are reused in multiple t...
research
05/03/2018

Poster: Identification of Methods with Low Fault Risk

Test resources are usually limited and therefore it is often not possibl...
research
12/07/2022

Leveraging Priority Thresholds to Improve Equitable Housing Access for Unhoused-at-Risk Youth

Approximately 4.2 million youth and young adults experience homelessness...
research
01/31/2023

Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits

Motivated by concerns about making online decisions that incur undue amo...
research
07/06/2020

Learning Personalized Risk Preferences for Recommendation

The rapid growth of e-commerce has made people accustomed to shopping on...
research
11/25/2022

GLM for partially pooled categorical predictors with a case study in biosecurity

National governments use border information to efficiently manage the bi...

Please sign up or login with your details

Forgot password? Click here to reset