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农药暴露结果严重程度的区域差异:地理信息系统和空间扫描统计的应用

Regional variation in the severity of pesticide exposure outcomes: applications of geographic information systems and spatial scan statistics.

作者信息

Sudakin Daniel L, Power Laura E

机构信息

Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR 97331, USA.

出版信息

Clin Toxicol (Phila). 2009 Mar;47(3):248-52. doi: 10.1080/15563650802646694.

DOI:10.1080/15563650802646694
PMID:19306192
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2702162/
Abstract

INTRODUCTION

Geographic information systems and spatial scan statistics have been utilized to assess regional clustering of symptomatic pesticide exposures reported to a state Poison Control Center (PCC) during a single year. In the present study, we analyzed five subsequent years of PCC data to test whether there are significant geographic differences in pesticide exposure incidents resulting in serious (moderate, major, and fatal) medical outcomes.

METHODS

A PCC provided the data on unintentional pesticide exposures for the time period 2001-2005. The geographic location of the caller, the location where the exposure occurred, the exposure route, and the medical outcome were abstracted.

RESULTS

There were 273 incidents resulting in moderate effects (n = 261), major effects (n = 10), or fatalities (n = 2). Spatial scan statistics identified a geographic area consisting of two adjacent counties (one urban, one rural), where statistically significant clustering of serious outcomes was observed. The relative risk of moderate, major, and fatal outcomes was 2.0 in this spatial cluster (p = 0.0005).

CONCLUSIONS

PCC data, geographic information systems, and spatial scan statistics can identify clustering of serious outcomes from human exposure to pesticides. These analyses may be useful for public health officials to target preventive interventions. Further investigation is warranted to understand better the potential explanations for geographical clustering, and to assess whether preventive interventions have an impact on reducing pesticide exposure incidents resulting in serious medical outcomes.

摘要

引言

地理信息系统和空间扫描统计方法已被用于评估某一年度向州中毒控制中心(PCC)报告的有症状农药暴露的区域聚集情况。在本研究中,我们分析了PCC后续五年的数据,以测试农药暴露事件导致严重(中度、重度和致命)医疗后果是否存在显著的地理差异。

方法

一家PCC提供了2001 - 2005年期间无意接触农药的数据。提取了呼叫者的地理位置、暴露发生地点、暴露途径和医疗后果。

结果

共有273起事件导致中度影响(n = 261)、重度影响(n = 10)或死亡(n = 2)。空间扫描统计确定了一个由两个相邻县(一个城市县、一个农村县)组成的地理区域,在该区域观察到严重后果的统计学显著聚集。在这个空间集群中,中度、重度和致命后果的相对风险为2.0(p = 0.0005)。

结论

PCC数据、地理信息系统和空间扫描统计可以识别出人类接触农药导致严重后果的聚集情况。这些分析可能有助于公共卫生官员确定预防干预措施的目标。有必要进一步调查,以更好地理解地理聚集的潜在原因,并评估预防干预措施是否对减少导致严重医疗后果的农药暴露事件有影响。