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Use of Google Insights for Search to track seasonal and geographic kidney stone incidence in the United States.

机译:使用Google Insights for Search追踪美国的季节性和地理性肾结石发生率。

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OBJECTIVE: To determine whether Internet search volume for kidney stones has seasonal and geographic distributions similar to known kidney stone incidence. MATERIAL AND METHODS: Google Insights for Search analyzes a portion of Google web searches from all Google domains to compute how many searches are performed for a given term relative to the total number of searches done over a specific time interval and geographic region. Selected terms related to kidney stones were examined to determine which most closely tracked kidney stone incidence. Google Insights for Search data were correlated with hospital admissions for the emergent treatment of nephrolithiasis found through the Nationwide Inpatient Sample. Ambient temperature in Seattle and New York were compared with search volume for these regions to display qualitative relationships. RESULTS: The term kidney stones P = .0014). Google Insights for Search output and national Inpatient Sample admissions also correlated when regions were compared (r = .90, P = .005). Qualitative relationships between ambient temperatures and kidney stone search volume do exist. CONCLUSIONS: Internet search volume activity for kidney stones correlates with temporal and regional kidney stone insurance claims data. In the future, with improved modeling of search detection algorithms and increased Internet usage, search volume has the potential to serve as a surrogate for kidney stone incidence.
机译:目的:确定互联网搜索肾结石的量是否具有与已知的肾结石发病率相似的季节性和地理分布。材料和方法:Google搜索解析会分析所有Google域中的一部分Google网络搜索,以计算相对于在特定时间间隔和地理区域内进行的搜索总数,给定字词执行了多少次搜索。检查与肾结石相关的选定术语,以确定最密切追踪的肾结石发生率。 Google Insights for Search数据与通过全国住院样本发现的肾结石的急诊治疗的住院人数相关。将西雅图和纽约的环境温度与这些区域的搜索量进行比较,以显示定性关系。结果:术语肾结石P = .0014)。比较区域时,Google搜索数据洞察力与全国住院患者样本入院率也相关(r = .90,P = .005)。确实存在环境温度与肾结石搜索量之间的定性关系。结论:肾结石的互联网搜索量活动与时间和区域性肾结石保险理赔数据相关。将来,随着搜索检测算法建模的改进和Internet使用率的提高,搜索量有可能替代肾结石的发生率。

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