Homicide During Robbery: A Case-Control Study

抢劫期间的凶杀案：病例对照研究

• 批准号: 6613686
• 负责人: DANA LOOMIS
• 金额: $ 24.91万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-01 至 2005-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6613686
• 关键词: clinical research; criminal behavior; geographic site; homicide; human ecology; human subject; information systems; mathematical model; occupational health /safety; police; socioeconomics; socioenvironment; statistics /biometry; violence; work site

DESCRIPTION (provided by applicant): Workplace homicide is a topic of increasing public health significance. Robbery is an important type of violence in the workplace, accounting for 60-75% of homicides. To address this issue, we are currently conducting a case-control study of risk factors for workplace homicide during robbery. This project has collected detailed information on risk factors related to both the workplace and the events of the robbery. The proposed study will continue the existing study by examining neighborhood determinants of workplace robbery-homicide. The proposed study will provide data on criminal activities in, and socio-demographic characteristics of, the neighborhoods of the study workplaces. The investigators will combine this data with the existing study data to determine the association between the criminal/socio-demographic characteristics of a neighborhood and the risk of robbery-homicide. In addition, the investigators will examine the role of neighborhood characteristics in determining the safety attributes of the workplace and the events of the robbery. The investigators will use spatial analysis to describe the geographic distribution of workplace robbery-homicide. A neighborhood will be defined either as a single law enforcement tract (a police "beat"), or as an aggregation of law enforcement tracts. Geographic data on these tracts will be obtained from the law enforcement agencies currently enrolled in the study and used to create a Geographic Information System (GIS). Data on violent crime, both workplace and non-workplace, will be accessed from the study law enforcement agencies and incorporated into the GIS. Finally, the investigators will access socio-demographic information on the study neighborhoods from the US Census. Statistical modeling will utilize Generalized Estimating Equations (GEEs) to account for hierarchical nature of neighborhood data, and spatial modeling techniques to determine the correlation between neighborhood characteristics and workplace violence. This study will add a social context to the workplace and robbery information that has already been collected. The results of this study will assist in targeting prevention resources to specific high-risk workplaces and neighborhoods.

描述（由申请人提供）：工作场所杀人是一个越来越重要的公共卫生问题。 抢劫是工作场所暴力的一种重要类型，占凶杀案的60-75%。 为了解决这个问题，我们目前正在进行一项案件对照研究的危险因素，工作场所杀人抢劫。 该项目收集了与工作场所和抢劫事件有关的风险因素的详细信息。 拟议的研究将继续现有的研究，检查工作场所抢劫杀人的邻里决定因素。 拟议的研究将提供有关研究工作场所附近的犯罪活动和社会人口特征的数据。 研究人员将联合收割机将这些数据与现有的研究数据相结合，以确定社区的犯罪/社会人口特征与抢劫杀人风险之间的关联。 此外，调查人员将研究邻里特征在确定工作场所的安全属性和抢劫事件中的作用。 调查人员将使用空间分析来描述工作场所抢劫杀人案的地理分布。 一个社区将被定义为一个单一的执法区域（警察“巡逻”），或作为一个执法区域的集合。 将从目前参与研究的执法机构获得这些区域的地理数据，并用于创建地理信息系统。 关于工作场所和非工作场所暴力犯罪的数据将从研究执法机构获得，并纳入地理信息系统。 最后，研究人员将从美国人口普查中获得研究社区的社会人口统计信息。 统计建模将利用广义估计方程（GEE）来解释邻里数据的分层性质，并利用空间建模技术来确定邻里特征与工作场所暴力之间的相关性。 这项研究将增加一个社会背景的工作场所和抢劫的信息，已经收集。 这项研究的结果将有助于针对特定的高风险工作场所和社区的预防资源。