Department of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Eur Arch Otorhinolaryngol. 2021 May;278(5):1653-1660. doi: 10.1007/s00405-020-06362-4. Epub 2020 Sep 23.
To assess whether web-based public inquiries into pharyngitis-related search terms follow annual incidence peaks of acute pharyngitis in various countries from both hemispheres.
Google Trends (GT) was utilized for systematic acquisition of pharyngitis-related search terms (sore throat, cough, fever, cold). Six countries from both hemispheres including four English (United Kingdom, United States, Canada, and Australia) and two non-English speaking countries (Austria and Germany) were selected for further analysis. Time series data on relative search interest for pharyngitis-related search terms, covering a timeframe between 2004 and 2019 were extracted. Following reliability analysis using the intra-class correlation coefficient, the cosinor time series analysis was utilized to determine annual peaks in public-inquiries.
The extracted datasets of GT proved to be highly reliable with correlation coefficients ranging from 0.83 to 1.0. Graphical visualization showed annual seasonal peaks for pharyngitis-related search terms in all included countries. The cosinor time series analysis revealed these peaks to be statistically significant during winter months (all p < 0.001).
Our study revealed seasonal variations for pharyngitis-related terms which corresponded to winter incidence peaks of acute pharyngitis. These results highlight the need for easily accessible information on diagnosis, therapy, and red-flag symptoms for this common disease. Accurately informed patients might contribute to a reduction of unnecessary clinic visits and potentially cutback the futile antibiotic overuse.
评估基于网络的咽炎相关搜索词查询是否符合各半球不同国家急性咽炎的年度发病高峰。
系统地利用谷歌趋势(GT)获取咽炎相关搜索词(咽痛、咳嗽、发热、感冒)。选择来自两个半球的六个国家(四个英语国家,即英国、美国、加拿大和澳大利亚,以及两个非英语国家,即奥地利和德国)进行进一步分析。提取了涵盖 2004 年至 2019 年的咽炎相关搜索词相对搜索兴趣的时间序列数据。使用组内相关系数进行可靠性分析后,利用余弦时间序列分析确定公众查询的年度高峰。
GT 提取的数据集相关性很高,相关系数范围为 0.83 至 1.0。图形可视化显示所有纳入国家的咽炎相关搜索词均存在季节性年度高峰。余弦时间序列分析显示,这些高峰在冬季月份具有统计学意义(均 p<0.001)。
本研究揭示了与咽炎相关的术语存在季节性变化,与急性咽炎的冬季发病高峰相对应。这些结果强调了需要提供有关这种常见疾病的诊断、治疗和危险症状的易于获取的信息。准确知情的患者可能有助于减少不必要的就诊次数,并可能减少不必要的抗生素过度使用。