对痛风的公众兴趣的季节性变化:使用谷歌趋势的纵向感染学研究 (2014-2024)
Naomi Schlesinger1, Ioannis P Androulakis2
1Division of Rheumatology, Department of Medicine, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, United States.
Journal of medical Internet research
|August 27, 2025
概括
在网上搜索痛风, 显示出全球的季节性模式, 这种信息学方法补充了传统的公共卫生洞察方法.
科学领域:
- 流行病学
- 传染病学
- 数字健康
背景情况:
- 痛风是全球最常见的炎症性关节炎,
- 传统的流行病学方法提供了洞察力,但缺乏实时解决方案.
- 在线搜索行为为捕捉疾病活动趋势提供了可扩展,及时的补充.
研究的目的:
- 通过谷歌搜索查询调查痛风的季节性变化.
- 分析各国,美国各州和各大都市区的差异.
- 评估症状和语言特定的搜索术语的影响,并探索双模模式.
主要方法:
- 利用谷歌趋势数据查询与70个国家,美国各州和城市的痛风相关问题.
- 包括 14 种语言的通用,特征和翻译查询.
- 应用于季节性评估和比较双模模式的12个月和6个月波值,并进行统计纠正 (FDR,Bonferroni).
主要成果:
- 在不同地理和语言类别中发现了与痛风相关的搜索兴趣的显著季节性变化.
- 峰值通常发生在春晚/夏初 (北半球),并在南半球季节性转移.
- 对于"肥胖"和"大脚胀"等特定术语,
结论:
- 谷歌搜索活动反映了痛风爆发的季节性,
- 这种方法可以预测护理需求,并为季节性条件的数字健康策略提供指导.
- 地理,气候和语言背景对于解释这些数字趋势数据至关重要.
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