Department of Public Health and Preventive Medicine, Upstate Medical University, Syracuse, NY, United States.
J Med Internet Res. 2024 May 8;26:e49928. doi: 10.2196/49928.
Alpha-gal syndrome is an emerging allergy characterized by an immune reaction to the carbohydrate molecule alpha-gal found in red meat. This unique food allergy is likely triggered by a tick bite. Cases of the allergy are on the rise, but prevalence estimates do not currently exist. Furthermore, varying symptoms and limited awareness of the allergy among health care providers contribute to delayed diagnosis, leading individuals to seek out their own information and potentially self-diagnose.
The study aimed to (1) describe the volume and patterns of information-seeking related to alpha-gal, (2) explore correlations between alpha-gal and lone star ticks, and (3) identify specific areas of interest that individuals are searching for in relation to alpha-gal.
Google Trends Supercharged-Glimpse, a new extension of Google Trends, provides estimates of the absolute volume of searches and related search queries. This extension was used to assess trends in searches for alpha-gal and lone star ticks (lone star tick, alpha gal, and meat allergy, as well as food allergy for comparison) in the United States. Time series analyses were used to examine search volume trends over time, and Spearman correlation matrices and choropleth maps were used to explore geographic and temporal correlations between alpha-gal and lone star tick searches. Content analysis was performed on related search queries to identify themes and subcategories that are of interest to information seekers.
Time series analysis revealed a rapidly increasing trend in search volumes for alpha-gal beginning in 2015. After adjusting for long-term trends, seasonal trends, and media coverage, from 2015 to 2022, the predicted adjusted average annual percent change in search volume for alpha-gal was 33.78%. The estimated overall change in average search volume was 627%. In comparison, the average annual percent change was 9.23% for lone star tick, 7.34% for meat allergy, and 2.45% for food allergy during this time. Geographic analysis showed strong significant correlations between alpha-gal and lone star tick searches especially in recent years (ρ=0.80; P<.001), with primary overlap and highest search rates found in the southeastern region of the United States. Content analysis identified 10 themes of primary interest: diet, diagnosis or testing, treatment, medications or contraindications of medications, symptoms, tick related, specific sources of information and locations, general education information, alternative words for alpha-gal, and unrelated or other.
The study provides insights into the changing information-seeking patterns for alpha-gal, indicating growing awareness and interest. Alpha-gal search volume is increasing at a rapid rate. Understanding specific questions and concerns can help health care providers and public health educators to tailor communication strategies. The Google Trends Supercharged-Glimpse tool offers enhanced features for analyzing information-seeking behavior and can be valuable for infodemiology research. Further research is needed to explore the evolving prevalence and impact of alpha-gal syndrome.
α-半乳糖综合征是一种新兴的过敏症,其特征是对在红肉中发现的碳水化合物分子α-半乳糖产生免疫反应。这种独特的食物过敏可能是由蜱虫叮咬引发的。过敏病例呈上升趋势,但目前尚无流行率估计。此外,医疗保健提供者对过敏的不同症状和有限认识导致诊断延迟,导致个人寻找自己的信息并可能自我诊断。
本研究旨在:(1)描述与 α-半乳糖相关的信息搜索量和模式,(2)探讨 α-半乳糖与孤星蜱之间的相关性,(3)确定个人在与 α-半乳糖相关的信息搜索中特别关注的特定领域。
谷歌趋势超级洞察(Google Trends Supercharged-Glimpse)是谷歌趋势的一个新扩展,提供了有关搜索量和相关搜索查询的绝对量的估计。该扩展用于评估美国对 α-半乳糖和孤星蜱(孤星蜱、α-半乳糖和肉类过敏,以及作为比较的食物过敏)的搜索趋势。时间序列分析用于检查随时间推移的搜索量趋势,Spearman 相关矩阵和专题地图用于探索 α-半乳糖和孤星蜱搜索之间的地理和时间相关性。对相关搜索查询进行内容分析,以确定信息搜索者感兴趣的主题和子类别。
时间序列分析显示,自 2015 年以来,α-半乳糖的搜索量呈快速增长趋势。在调整长期趋势、季节性趋势和媒体报道后,从 2015 年到 2022 年,α-半乳糖的预测调整平均年搜索量百分比变化为 33.78%。估计的平均搜索量总变化为 627%。相比之下,在此期间,孤星蜱的平均年搜索量百分比变化为 9.23%,肉类过敏为 7.34%,食物过敏为 2.45%。地理分析显示,α-半乳糖和孤星蜱搜索之间存在很强的显著相关性,尤其是在最近几年(ρ=0.80;P<.001),主要重叠和最高搜索率出现在美国东南部。内容分析确定了 10 个主要关注主题:饮食、诊断或检测、治疗、药物或药物禁忌症、症状、与蜱虫相关、特定信息来源和位置、一般教育信息、α-半乳糖的替代词以及不相关或其他。
本研究提供了有关 α-半乳糖信息搜索模式变化的见解,表明意识和兴趣不断增强。α-半乳糖的搜索量正在以快速的速度增长。了解具体问题和关注点可以帮助医疗保健提供者和公共卫生教育者调整沟通策略。谷歌趋势超级洞察工具提供了用于分析信息搜索行为的增强功能,可用于传染病学研究。需要进一步研究来探索 α-半乳糖综合征的不断变化的流行率和影响。