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Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
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在美国德克萨斯州特拉维斯县的COPD急诊室,住院和再接收率中的人口普查通道变化.

Trisha M Parekh1, Peter Dunphy2, Emily M Hall3

  • 1Division of Pulmonary and Critical Care, Dell Medical School, University of Texas at Austin, Austin, Texas, United States.

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概括

慢性阻塞性肺病 (COPD) 恶化率在特拉维斯县的空间上有所不同,这与紧急访问和住院的邻里因素有关. 再接收率显示没有明确的空间模式或邻里联系.

关键词:
复发性慢性肺炎的恶化人口普查系统的变化率.生态学研究生态学研究邻里社区 邻里社区

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科学领域:

  • 环境流行病学环境流行病学
  • 公共卫生 公共卫生
  • 空间分析是一种空间分析.

背景情况:

  • 慢性阻塞性肺病 (COPD) 恶化率在当地水平上有很大差异,但邻近因素的影响仍然不太清楚.
  • 了解COPD恶化的空间变化对于识别风险人群和制定有针对性的干预措施至关重要.
  • 精细的空间分析可以揭示COPD发病率的模式以及相关的环境或社会经济决定因素.

研究的目的:

  • 在德克萨斯州特拉维斯县的人口普查区绘制COPD恶化急诊室 (ED) 访问和住院住院的空间分布.
  • 调查邻里特征与COPD相关急性护理利用率的人口普查通道水平之间的关系.
  • 评估COPD再入院率的空间模式和邻居关联.

主要方法:

  • 利用了德克萨斯州医疗保健信息收集 (THCIC) 数据和美国人口普查局的美国社区调查 (ACS) 数据 (2016-2020).
  • 计算了人口统计区特定的基于人口的发病率 (PBIR) 和COPD恶化的再录取率.
  • 采用条件自回归模型进行空间绘制,并检查了邻居因素与发病率之间的关联.

主要成果:

  • 与COPD相关的急救室访问和住院显示出特拉维斯县人口普查区的独特空间模式.
  • 与最初的急性护理访问相比,COPD的再入院率显示出较少明显的空间模式.
  • 人口,社会经济和建筑环境的特征与COPDED访问和住院率有关,但不是再接收率.

结论:

  • 在特拉维斯县,COPD恶化相关的急救诊所和住院病例存在显著的空间模式,受社区特征的影响.
  • 慢性慢性肺炎的再接收率没有表现出明显的空间聚类或与邻近因素的显著关联.
  • 研究结果强调了COPD急性护理利用中的基于地点的因素的重要性,建议量身定制的公共卫生策略.