阿尔法-加尔综合征信息搜索行为的新兴趋势:使用时间序列和内容分析的传染病学研究
Jamie L Romeiser1, Nicole Jusko1, Augusta A Williams1
1Department of Public Health and Preventive Medicine, Upstate Medical University, Syracuse, NY, United States.
Journal of medical Internet research
|May 8, 2024
概括
对阿尔法综合征的兴趣正在迅速增加,这是与咬有关的新兴红肉过敏. 公众对alpha-gal和相关主题的搜索量急剧增加,这表明人们的意识越来越大,需要量身定制的健康信息.
科学领域:
- 传染病学中的传染病学.
- 过敏学 过敏学
- 公共卫生 公共卫生
背景情况:
- 阿尔法-加尔综合征是一种新出现的对红肉的食物过敏,可能是由咬引发的.
- 越来越多的病例和有限的意识有助于延迟诊断和自我研究.
- 目前没有阿尔法综合征的流行率估计.
研究的目的:
- 分析与α-gal综合征相关的在线信息搜索的数量和模式.
- 为了调查搜索alpha-gal和孤独星之间的相关性.
- 确定有关阿尔法综合征的特定公共利益和关切.
主要方法:
- 利用谷歌趋势超级快照来分析美国的搜索查询量和趋势.
- 采用时间序列分析来查找搜索量趋势和地理/时间链接的斯皮尔曼相关性.
- 进行相关搜索查询的内容分析,以确定用户的兴趣.
主要成果:
- 对α-gal综合征的搜索量显示出显著的增长趋势 (2015-2022年平均年均百分比变化为33.78%).
- 在alpha-gal和孤独星的搜索之间存在强烈的相关性,特别是在美国东南部.
- 关键的公共利益包括饮食,诊断,治疗,症状和与有关的信息.
结论:
- 公众对alpha-gal综合征的认识和兴趣正在迅速增长,搜索趋势证明了这一点.
- 了解公众信息需求可以帮助医疗保健提供者定制沟通策略.
- 谷歌趋势工具对信息学研究新出现的健康问题有价值.
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