在医疗保险和医疗补助索赔中描述的传染病病例的可修改面积单位问题,2016-2019年
1National Library of Medicine, Lister Hill National Centre for Biomedical Communications, Maryland, United States of America.
可修改的面积单位问题影响传染病检测. 对大区域而不是各州的数据进行分析,改善了大多数感染的流行病峰值发现,突出了空间分析中地理规模的重要性.
科学领域:
- 空间分析是一种空间分析.
- 流行病学 流行病学
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 可修改的面积单位问题 (MAUP) 引入了空间不确定性.
- 对于MAUP对传染病动态和流行病检测的影响尚不清楚.
研究的目的:
- 调查不同地理单元对传染病监测的影响.
- 为了比较流行病峰值检测,使用各州与大型地区.
主要方法:
- 提取了CMS索赔数据 (2016-2019年) 与传染病代码 (SNOMED CT).
- 分析了国家和大型地区层面的数据,使用每个成员每月的指标.
- 员工滚动平均线高于峰值检测的系列中位数.
- 利用空间随机森林进行代理位置歧视和区域细分.
主要成果:
- 与各州相比,大型地区对大多数传染病原体进行了优越的峰值发现.
- 空间随机森林分析显示,地理单元之间的代理位置歧视存在显著差异.
结论:
- 地理单位的选择显著影响传染病监测结果.
- 研究人员必须在出版物中根据每个代理的情况证明他们选择的地理分析单位的合理性.
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