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首页> 外文期刊>Journal of Foot and Ankle Research >Let me Google that for you: a time series analysis of seasonality in internet search trends for terms related to foot and ankle pain
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Let me Google that for you: a time series analysis of seasonality in internet search trends for terms related to foot and ankle pain

机译：让我为您准备的Google：针对与足踝疼痛相关的术语的互联网搜索趋势中的季节性季节性分析

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Background The analysis of internet search traffic may present the opportunity to gain insights into general trends and patterns in information seeking behaviour related to medical conditions at a population level. For prevalent and widespread problems such as foot and ankle pain, this information has the potential to improve our understanding of seasonality and trends within these conditions and their treatments, and may act as a useful proxy for their true incidence/prevalence characteristics. This study aimed to explore seasonal effects, general trends and relative popularity of internet search terms related to foot and ankle pain over the past decade. Methods We used the Google Trends tool to obtain relative search engine traffic for terms relating to foot and ankle pain and common treatments from Google search and affiliated pages for major northern and southern hemisphere English speaking nations. Analysis of overall trends and seasonality including summer/winter differences was carried out on these terms. Results Searches relating to general foot pain were on average 3.4 times more common than those relating to ankle pain, and twice as common as searches relating to heel pain. Distinct seasonal effects were seen in the northern hemisphere, with large increases in search volumes in the summer months compared to winter for foot (p?=?0.004, 95 % CI [22.2–32.1]), ankle (p?=?0.0078, 95 % CI [20.9–35.5]), and heel pain (p?=?0.004, 95 % CI [29.1–45.6]). These seasonal effects were reflected by data from Australia, with the exception of ankle pain. Annual seasonal effects for treatment options were limited to terms related to foot surgery and ankle orthoses (p?=?0.031, 95 % CI [3.5–20.9]; p?=?0.004, 95 % CI [7.6–25.2] respectively), again increasing in the summer months. Conclusions A number of general trends and annual seasonal effects were found in time series internet search data for terms relating to foot and ankle pain. This data may provide insights into these conditions at population levels.
机译：背景技术对互联网搜索流量的分析可能会提供机会，以深入了解与人口水平上的医疗状况相关的信息寻求行为中的一般趋势和模式。对于诸如脚和脚踝疼痛之类的普遍和广泛存在的问题，此信息有可能增进我们对这些疾病及其治疗方法中的季节性和趋势的了解，并且可以充当其真实发病率/患病率特征的有用代理。这项研究旨在探讨过去十年中与脚和脚踝疼痛相关的互联网搜索字词的季节性影响，总体趋势和相对流行。方法我们使用Google趋势工具从北半球和南半球主要英语国家的Google搜索和附属页面中获取与足踝疼痛和常用疗法有关的术语的相对搜索引擎流量。使用这些术语对包括夏季/冬季差异在内的总体趋势和季节性进行了分析。结果与一般脚痛有关的搜索平均是脚踝疼痛的3.4倍，是脚跟疼痛的两倍。在北半球看到了明显的季节性影响，与冬季相比，夏季的脚搜索量（p？=？0.004，95％CI [22.2–32.1]），踝关节（p？=？0.0078， 95％CI [20.9-35.5]）和脚跟疼痛（p？=？0.004，95％CI [29.1-45.6]）。澳大利亚的数据反映了这些季节性影响，但脚踝疼痛除外。治疗方案的年度季节性影响仅限于与足部手术和踝关节矫形器相关的术语（分别为p？=？0.031，95％CI [3.5-20.9]; p？=？0.004，95％CI [7.6-25.2]），夏季再次增加。结论在时间序列互联网搜索数据中发现了与脚和脚踝疼痛有关的术语的许多总体趋势和年度季节影响。该数据可以提供有关人口水平上这些状况的见解。

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