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利用捕获-再捕获分析估计印第安纳州农业死亡人数和严重农业伤害人数。

Use of Capture-Recapture Analysis to Estimate the Number of Agricultural Fatalities and Severe Agricultural Injuries in Indiana.

机构信息

Engineering Pott College Of Science, Engineering, And Education, University Of Southern Indiana, Evansville, IN, USA.

出版信息

J Agromedicine. 2024 Apr;29(2):189-196. doi: 10.1080/1059924X.2023.2284953. Epub 2023 Nov 24.

Abstract

Conducting surveillance of agricultural injuries and fatalities in the United States has been an ongoing challenge, with many cases falling outside the criteria of national and local surveillance systems. In this research, capture-recapture analysis was used to estimate the number of fatal agricultural injuries in Indiana between 2016 and 2020. A limited analysis of non-fatal injuries is also provided. This analysis was possible because of two publicly available datasets containing incident descriptions with sufficient detail for case matching. The first dataset consisted of summary lists of fatal and nonfatal agricultural injuries in Indiana published in annual agricultural fatality reports produced by the Purdue Extension. The second data source was AgInjuryNews, which gathers reports of agricultural injuries and fatalities published in news media and other publicly available sources. Results of the capture-recapture analysis estimate that, every year in Indiana, the Purdue Extension misses 18% of fatal incidents and AgInjuryNews misses approximately 60%. AgInjuryNews identifies approximately 3 fatal incidents per year that are missed by Purdue Extension. Analysis of nonfatal incidents was limited by the fact that both data sources only included nonfatal injuries that were extremely severe and/or connected to a fatality. The Purdue Extension is estimated to miss 22% and AgInjuryNews is estimated to miss 25% of nonfatal agricultural injuries meeting that narrow definition. While capture-recapture analysis only provides estimates of true injury rates, the results provide evidence that Purdue Extension's surveillance captures most agricultural fatalities in the state. AgInjuryNews has been able to identify cases missed by Purdue, and this research takes an important step forward in quantifying how media reports found in this data source differ from extension surveillance. This research also highlights the continuing limitations in the surveillance non-fatal injuries and the ways in which publicly available data can aid researchers in filling gaps in surveillance.

摘要

对美国农业伤害和死亡事件进行监测一直是一个持续存在的挑战,许多病例不符合国家和地方监测系统的标准。在这项研究中,使用捕获-再捕获分析来估计印第安纳州 2016 年至 2020 年期间致命农业伤害的数量。还提供了对非致命伤害的有限分析。由于两个公共数据集包含了具有足够案件匹配细节的事件描述,因此才能够进行此分析。第一个数据集是由普渡扩展发布的年度农业死亡报告中包含的致命和非致命农业伤害的摘要列表组成。第二个数据源是 AgInjuryNews,它收集了新闻媒体和其他公开来源发布的农业伤害和死亡报告。捕获-再捕获分析的结果估计,每年在印第安纳州,普渡扩展系统会错过 18%的致命事件,而 AgInjuryNews 会错过大约 60%。AgInjuryNews 每年会识别出大约 3 起被 Purdue Extension 错过的致命事件。对非致命事件的分析受到限制,因为这两个数据源仅包括极其严重和/或与死亡事件相关的非致命伤害。估计 Purdue Extension 会错过 22%的非致命农业伤害,而 AgInjuryNews 会错过 25%符合这一狭义定义的非致命农业伤害。虽然捕获-再捕获分析仅提供真实伤害率的估计值,但结果提供了证据表明,Purdue Extension 的监测系统可以捕获该州的大多数农业死亡事件。AgInjuryNews 已经能够识别出 Purdue 错过的病例,本研究朝着量化该数据源中的媒体报道与扩展监测之间的差异迈出了重要的一步。这项研究还强调了监测非致命伤害的持续局限性,以及公共数据如何帮助研究人员填补监测中的空白。

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