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谷歌和维基百科能告诉我们关于一种疾病的哪些信息?系统性红斑狼疮的大数据趋势分析。

What can Google and Wikipedia can tell us about a disease? Big Data trends analysis in Systemic Lupus Erythematosus.

作者信息

Sciascia Savino, Radin Massimo

机构信息

Center of Research of Immunopathology and Rare Diseases- Coordinating Center of the Network for Rare Diseases of Piedmont and Aosta Valley, Department of Clinical and Biological Sciences, University of Turin,Turin, Italy.

Center of Research of Immunopathology and Rare Diseases- Coordinating Center of the Network for Rare Diseases of Piedmont and Aosta Valley, Department of Clinical and Biological Sciences, University of Turin,Turin, Italy.

出版信息

Int J Med Inform. 2017 Nov;107:65-69. doi: 10.1016/j.ijmedinf.2017.09.002. Epub 2017 Sep 14.

DOI:10.1016/j.ijmedinf.2017.09.002
PMID:29029693
Abstract

OBJECTIVE

To investigate trends of Internet search volumes linked to Systemic Lupus Erythematosus (SLE), on-going clinical trials and research developments associated to the disease, using Big Data monitoring and data mining.

METHODS

We performed a longitudinal analysis based on the large amount of data generated by Google Trends, scientific search tools (SCOPUS, Medline/Pubmed/ClinicalTrails.gov) considering 'SLE', and 'lupus' in a 5-year web-based research. Wikipedia page views were also analysed using WikiTrends and the results were compared with the search volumes generated by Google Trends.

RESULTS

We observed an overall higher distribution of search volumes from Google Trends in United States, South America, Canada, South Africa, Australia and Europe (mainly Italy, United Kingdom, Spain, France, Germany), showing a geographically heterogeneity in insight into health-related behaviour of the different populations towards SLE. By comparing the search volumes analysing the Wikipedia page views of both SLE and belimumab, we found a close peak trend, reflecting the knowledge translation after the approval of belimumab for the treatment of SLE. When focusing on search volumes of Google Trends, we noticed that the highest peaks were related to news headlines that involved celebrities affected by SLE, also when comparing to the peak generated by the approval of belimumab.

CONCLUSION

This new approach, able to investigate health information seeking, might give an estimate of the health-related demand and even of the health-related behaviour of SLE, bringing new light to unanswered questions.

摘要

目的

利用大数据监测和数据挖掘技术,研究与系统性红斑狼疮(SLE)相关的互联网搜索量趋势、正在进行的临床试验以及与该疾病相关的研究进展。

方法

我们基于谷歌趋势、科学搜索工具(SCOPUS、Medline/Pubmed/ClinicalTrails.gov)生成的大量数据进行纵向分析,在为期5年的网络研究中考虑“SLE”和“狼疮”。还使用维基趋势分析了维基百科页面浏览量,并将结果与谷歌趋势生成的搜索量进行比较。

结果

我们观察到,美国、南美洲、加拿大、南非、澳大利亚和欧洲(主要是意大利、英国、西班牙、法国、德国)谷歌趋势的搜索量总体分布较高,这表明不同人群对SLE的健康相关行为洞察存在地理异质性。通过比较分析SLE和贝利尤单抗维基百科页面浏览量的搜索量,我们发现了一个紧密的峰值趋势,反映了贝利尤单抗获批用于治疗SLE后的知识传播。当关注谷歌趋势的搜索量时,我们注意到最高峰值与涉及受SLE影响的名人的新闻头条有关,与贝利尤单抗获批产生的峰值相比也是如此。

结论

这种能够调查健康信息搜索情况的新方法,可能会对SLE的健康相关需求甚至健康相关行为进行估计,为未解决的问题带来新的启示。

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