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

IF 3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Risk Analysis Pub Date : 2024-11-01 Epub Date: 2024-06-11 DOI:10.1111/risa.14344
Thao P Le, Thomas K Waring, Howard Bondell, Andrew P Robinson, Christopher M Baker
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引用次数: 0

Abstract

The rise of globalization 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 increasingly lower risks require more samples. On a low-risk pathway that can be afforded only 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.

在监测资源有限的情况下,采用自适应采样方法监测低风险途径。
全球化的兴起导致国际贸易急剧增加,大量集装箱、货物和物品在世界各地流动。不幸的是,这些贸易途径也为有害生物、杂草、疾病和病原体的流动提供了便利。每件物品都可能含有生物安全风险物质,但对每件物品进行检查是不切实际的。相反,检查工作通常侧重于高风险物品。然而,低风险并不意味着没有风险。对低风险途径进行监控以确保它们是低风险并保持低风险至关重要。要做到这一点,许多方法都会设法对风险进行一定程度的精确估算,但越来越低的风险需要更多的样本。在检查资源有限的低风险途径上,为低风险活动分配较少的样本更为合理。我们通过引入两个阈值来解决这个问题。我们的方法侧重于让我们知道风险是否低于某些阈值,而不是精确估计风险。这种方法还能让我们发现风险的重大变化。与以前的方法相比,我们的方法所需的抽样通常较少,但仍能为监管机构提供证据,帮助他们高效、有效地分配检查工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Risk Analysis
Risk Analysis 数学-数学跨学科应用
CiteScore
7.50
自引率
10.50%
发文量
183
审稿时长
4.2 months
期刊介绍: Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include: • Human health and safety risks • Microbial risks • Engineering • Mathematical modeling • Risk characterization • Risk communication • Risk management and decision-making • Risk perception, acceptability, and ethics • Laws and regulatory policy • Ecological risks.
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