Geospatial Agricultural Incident Analysis for the State of Indiana.

IF 0.9 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Aaron James Etienne, Noah Joel Haslett, William E Field
{"title":"Geospatial Agricultural Incident Analysis for the State of Indiana.","authors":"Aaron James Etienne, Noah Joel Haslett, William E Field","doi":"10.13031/jash.15919","DOIUrl":null,"url":null,"abstract":"<p><strong>Highlights: </strong>29 recent agricultural-related fatalities or injuries occurring throughout the state of Indiana were analyzed using geospatial incident analysis. Proximity of each incident to nearby cellular towers was found through 5 and 10-mile spatial joins by their relationship with cellular towers, with no towers most likely to be found within 5 miles of a given incident and only one tower to be found within 10 miles of a given incident. Proximity of each incident to emergency services and the nearest hospital was performed through 5 and 10-mile spatial joins, with only one service provider most likely to be within the five-mile range of a given incident.</p><p><strong>Abstract: </strong>A total of 29 recent agricultural-related injuries and fatalities throughout the state of Indiana were identified and analyzed for their proximity to cellular towers and emergency medical services (EMS). The objective of this research was to identify relationships between selected agricultural incidents and the ability of the victim to successfully contact emergency services. The geographic information system (GIS) software ArcGIS Pro and ArcGIS Online were utilized for trend identification and analysis. Findings from this analysis showed that only one EMS provider was most likely to be found within five miles of a given incident location. This frequency increased to seven EMS providers when the proximity range was increased to ten miles of a given incident location. The analysis also showed that only one cellular tower was most likely to be within a 10-mile radius of a given incident. There were frequently no accessible towers within five miles of a given incident. In addition, identified incidents were overlaid on a digital elevation map (DEM) of Indiana for analysis on the relationship between elevation and the number of accessible cell towers in the area. Studies have confirmed that victims of serious agricultural-related injuries, especially while working alone, face significant barriers in alerting EMS of their need for assistance. Geospatial analysis techniques performed in this study can be utilized by other states to assess access to EMS and for larger-scale, agricultural incident analysis. These tools have the potential to improve detail in agricultural incident reporting.</p>","PeriodicalId":45344,"journal":{"name":"Journal of Agricultural Safety and Health","volume":"30 2","pages":"75-88"},"PeriodicalIF":0.9000,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agricultural Safety and Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13031/jash.15919","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

Abstract

Highlights: 29 recent agricultural-related fatalities or injuries occurring throughout the state of Indiana were analyzed using geospatial incident analysis. Proximity of each incident to nearby cellular towers was found through 5 and 10-mile spatial joins by their relationship with cellular towers, with no towers most likely to be found within 5 miles of a given incident and only one tower to be found within 10 miles of a given incident. Proximity of each incident to emergency services and the nearest hospital was performed through 5 and 10-mile spatial joins, with only one service provider most likely to be within the five-mile range of a given incident.

Abstract: A total of 29 recent agricultural-related injuries and fatalities throughout the state of Indiana were identified and analyzed for their proximity to cellular towers and emergency medical services (EMS). The objective of this research was to identify relationships between selected agricultural incidents and the ability of the victim to successfully contact emergency services. The geographic information system (GIS) software ArcGIS Pro and ArcGIS Online were utilized for trend identification and analysis. Findings from this analysis showed that only one EMS provider was most likely to be found within five miles of a given incident location. This frequency increased to seven EMS providers when the proximity range was increased to ten miles of a given incident location. The analysis also showed that only one cellular tower was most likely to be within a 10-mile radius of a given incident. There were frequently no accessible towers within five miles of a given incident. In addition, identified incidents were overlaid on a digital elevation map (DEM) of Indiana for analysis on the relationship between elevation and the number of accessible cell towers in the area. Studies have confirmed that victims of serious agricultural-related injuries, especially while working alone, face significant barriers in alerting EMS of their need for assistance. Geospatial analysis techniques performed in this study can be utilized by other states to assess access to EMS and for larger-scale, agricultural incident analysis. These tools have the potential to improve detail in agricultural incident reporting.

印第安纳州农业事件的地理空间分析。
亮点:使用地理空间事件分析分析了最近发生在印第安纳州的29起与农业有关的死亡或受伤事件。通过5英里和10英里的空间连接可以发现每个事件与附近的信号塔的接近程度,在给定事件的5英里内最有可能没有信号塔,在给定事件的10英里内只有一个信号塔。通过5英里和10英里的空间连接来实现每个事件与紧急服务和最近医院的接近,只有一个服务提供商最有可能在给定事件的5英里范围内。摘要:我们对印第安纳州最近发生的29起与农业相关的伤亡事件进行了识别和分析,因为它们靠近手机信号塔和紧急医疗服务中心(EMS)。这项研究的目的是确定选定的农业事件与受害者成功联系紧急服务的能力之间的关系。利用地理信息系统(GIS)软件ArcGIS Pro和ArcGIS Online进行趋势识别和分析。分析结果显示,在给定事故地点的5英里范围内,只有一家EMS供应商最有可能被找到。当距离事故地点的距离增加到10英里时,这个频率增加到7个EMS供应商。分析还显示,在给定事件的10英里半径内,最有可能只有一个手机信号塔。在事故发生的5英里范围内,通常没有可到达的信号塔。此外,确定的事件被叠加在印第安纳州的数字高程图(DEM)上,以分析海拔与该地区可访问的蜂窝塔数量之间的关系。研究证实,与农业有关的严重伤害的受害者,特别是在独自工作时,在向紧急医疗服务系统发出援助需求警报方面面临重大障碍。本研究中使用的地理空间分析技术可以被其他国家用来评估EMS的获取情况,并用于更大规模的农业事件分析。这些工具有可能改善农业事件报告的细节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Agricultural Safety and Health
Journal of Agricultural Safety and Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
1.50
自引率
20.00%
发文量
10
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信