2017年至2021年泰米尔纳德邦针对儿童的犯罪的空间自相关性和特有性模式分析
Ipsita Debata1, Prem Sagar Panda1, E Karthikeyan2
1Department of Community Medicine, Kalinga Institute of Medical Sciences, Kushabhadra Campus, 5, KIIT Rd, Bhubaneswar, Odisha, India.
Journal of family medicine and primary care
|July 19, 2024
概括
在泰米尔纳德邦,针对儿童的犯罪是一个重大问题. 这项研究绘制了高患病率地区的地图,并确定了特定的热点,以指导针对儿童保护的有针对性的干预措施.
科学领域:
- 公共卫生 公共卫生
- 犯罪学 犯罪学
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 儿童占印度人口的很大一部分,因此他们的保护对国家发展至关重要.
- 针对儿童的犯罪对他们的福祉和发展构成严重威胁,据报道,在印度每四分钟就发生一次事件.
- 关于影响儿童的罪行范围和分布的研究存在显著的差距.
研究的目的:
- 分析塔米尔纳德邦针对儿童的罪行的规模和空间分布.
- 确定该州内针对儿童犯罪的地理热点.
- 为儿童保护提供有针对性的资源分配和干预策略的信息.
主要方法:
- 使用泰米尔纳德州年度犯罪审查公告 (2017-2021) 的数据进行了回顾性监控研究.
- 数据分析使用Python v3.8进行清理和转换,随后使用ArcGIS Pro v3.1.1.进行地理空间分析.
- 地理空间自相关性 (Getis-Ord Gi*) 和集群分析 (基于层次密度的扫描) 用于识别热点和特有病态模式.
主要成果:
- 该研究确定了泰米尔纳德邦针对儿童犯罪的特定热点地区,包括2017年的蒂鲁帕图尔和2020年的维卢普拉姆.
- 记录了针对儿童犯罪率非常高的地区的综合清单,涵盖了全州主要的城市和农村地区.
- 虽然确定了一些热点,但许多地区显示不显著的集群,表明这些犯罪的空间分布不同.
结论:
- 这项研究指出了泰米尔纳德邦的关键地区,这些地区的儿童犯罪率很高,也是儿童犯罪的热点.
- 调查结果使利益相关者能够更有效地引导资源和实施有针对性的措施.
- 该研究旨在通过提供数据驱动的洞察力,为有针对性的干预提供帮助,以减少影响儿童的罪行.
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