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大气花粉度对北京过敏性鼻炎每日访问的影响:分布式滞后非线性模型分析

Aizhu Liu¹, Weixuan Sheng², Xianshi Tang³

¹Department of Otolaryngology Head and Neck Surgery, Capital Medical University Affiliated Beijing Shijitan Hospital, No. 10 Yangfangdian Railway Hospital Road, Haidian District, Beijing, 100038, China.

International journal of biometeorology

|September 1, 2023

概括

高大气花粉水平与过敏性鼻炎 (AR) 访问的增加有关,其影响持续超过一周. 这项研究分析了花粉.

科学领域:

环境健康环境健康
过敏学过敏学
流行病学流行病学

背景情况:

过敏性鼻炎 (AR) 是一种常见的疾病,由环境因素加剧.
大气中的花粉度是AR症状的已知触发因素.

研究的目的:

调查大气花粉度对每日过敏性鼻炎 (AR) 访问的影响和滞后效应.
量化花粉含量与AR发生率之间的关系.

主要方法:

数据来自北京石家庄医院门诊和急诊部 (2018-2019) 收集的数据.
分布式滞后非线性模型 (DLNM) 用于相关性和滞后效应分析.
使用R 4.1.2.2.生成的斯皮尔曼相关系数和滞后响应曲线.

主要成果:

在2018年和2019年的花粉度和AR访问之间观察到温和的正相关性.
花粉对AR访问的峰值特定累积效应发生在第0天,效应持续6-7天.
增量累积效应在第7天 (2018年) 和第8天 (2019年) 显示了峰值值,持续时间为13天,并且在2019年具有复杂的模式.

结论:

大气中的花粉度显著影响每日AR访问,具有显著的滞后效应.
花粉对AR发病率的影响的持续时间和模式各不相同,这凸显了及时干预的必要性.
这些发现为公共卫生战略和花粉季节患者管理提供了关键数据.

关键词:

过敏性鼻炎是一种过敏性鼻炎.分布滞后非线性模型的分布式滞后.环境气象因素环境气象因素花粉花粉花粉的花粉时间序列分析时间序列分析.

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