新冠肺炎对谷歌趋势数据分析的影响

L. Bertolaccini, A. Cara, Gabriele Maffeis, E. Prisciandaro, A. Mazzella, N. Filippi, L. Spaggiari
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摘要

背景:为应对2019冠状病毒病(COVID-19)大流行,远程医疗的使用激增。本研究旨在评估大流行期间18个月内全球和意大利不同地区远程医疗谷歌相对搜索量(RSV)变化与COVID-19之间的关系。方法:对2019年12月1日- 2021年8月31日谷歌搜索数据进行分析。谷歌搜索的数量以RSV(范围,0-100)测量。结果:全球远程医疗RSV平均值为52.2±17.6,COVID-19为57.7±19.5;意大利远程医疗RSV平均值为17.5±21.6,COVID-19为42.0±20.0。远程医疗的最大兴趣点出现在2020年2月16日,COVID-19的最大兴趣点出现在2020年10月25日。2019冠状病毒病RSV曲线在夏季出现两个最低点。另一方面,远程医疗RSV曲线在2020年5月呈现单峰。高峰过后,对远程医疗的兴趣继续下降(平均RSV =18)。结论:COVID-19扩大了所有远程医疗模式的使用。未来的研究需要提高对用户需求和远程医疗对不同经验水平的提供者的影响的理解,以指导在2019冠状病毒病大流行后鼓励远程医疗的采用和使用。©医学人工智能杂志。版权所有。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The COVID-19 repercussion on Google Trend data analyses
Background: In response to the coronavirus disease 2019 (COVID-19) pandemic, the use of Telemedicine has skyrocketed. This study aimed to assess the relationship between the changes in Google relative search volume (RSV) of telehealth and COVID-19 worldwide and in different Italian regions over 18 months during the pandemic. Methods: Data about the Google searches Telemedicine and COVID-19 were analysed (01/12/2019– 31/08/2021). The number of Google searches was measured in RSV (range, 0–100). Results: Mean worldwide RSV was 52.2±17.6 for the Telemedicine and 57.7±19.5 for COVID-19;mean Italian RSV was 17.5±21.6 for the Telemedicine and 42.0±20.0 for COVID-19. The maximum interest for Telemedicine was observed on 16/02/2020, while the maximum interest for COVID-19 was registered on 25/10/2020. The RSV curve of COVID-19 presented two nadirs during the summer periods. On the other hand, the RSV curve of Telemedicine presented a single peak in May 2020. After the peak, interest in Telemedicine continued declining (mean RSV =18). Conclusions: COVID-19 has expanded the use of all telemedicine modalities. Future research is required to improve the understanding of user needs and the effects of Telemedicine on providers at various levels of experience to guide efforts to encourage telemedicine adoption and usage after the COVID-19 pandemic. © Journal of Medical Artificial Intelligence. All rights reserved.
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